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All frequently asked queries on insurance
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FAQs on direct equity investments
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FAQs on Investing in the US and overseas markets
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Frequently asked queries around taxes
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Various frequently asked queries, all in one place
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Life insurance and various forms of it. From ULIP to term insurance, check which one you need, and which one should avoid.
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No one can predict how a mutual fund would perform in the long run. Data also shows consistently chasing best mutual funds result in behavior gap. Pick one that you can stay with for long term.
If you google top mutual funds, you'd find plenty of communities or online publications tossing you some names of well performing funds.
No one can predict how markets would perform in near future (short term), or over long periods of time. And when we say no one, we really mean no one at all.
Amsterdam is the oldest stock exchange, founded in the 1460s. London stock exchange is one of the oldest, founded in 1801, with nearly ~220 years of history. US markets have been around for ~200+ years, since the early 1800s (NYSE was established in 1817). Indian markets are relatively young, been around for only a little over 40 years, in any meaningful way. BSE was founded in 1870s, but it's hard to find reliable data since before Sensex was created in 1979. Some even suggest to ignore data from before NSE was created in 1994, which gives us ~25 years worth of market data to analyse.
Despite all these data, there's no prediction algorithm or deep-learning solutions; that can predict future market behavior accurately or near-accurately. Markets would surprise you from time-to-time, and new events would keep on happening in all markets, all over the world.
Mutual funds give you exposure to markets, and their ups & downs are linked to market's movements. It's mostly not up to the fund.
Lion's share of performance of a fund, is due to luck - just having right exposure to right assets at the right time. Very little is due to fund manager's skill in asset picking.
There are different mutual funds, that invest in different types of assets. Some invest in stocks, some buy debt, while some others bet on commodities like gold etc.
The mutual fund that's best for you, is the one that help you with reaching your financial goals. If you need a certain amount of money after a given number of years; then for that financial goal, the mutual fund that helps you get there comfortably in time, is the best option.
For most retail investors, the problem is not the right fund picking. Any average fund would be good enough for most people.
Real problem is not investing enough, and relying too much on returns to make up for the low investment amount. Or not staying with a decent fund long enough.
Asking for best mutual fund is no different from asking which gym is best for you. Finding the perfect gym is not that important. Just like it's more important to be disciplined, in achieving your health & fitness goals, it's also important in achieving your financial nirvana.
Please go through this link if you are interested in the ELI5 guide to selecting an equity mutual fund
FAQs on all things mutual funds
Disclaimers and disclosures that you should read and understand before reading this wiki
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If you're investing for the long term, time in the market beats timing the market. Invest the entire amount all at once, irrespective of market levels. Invest regularly if don't have lumpsum.
This is quite confusing to many people, since the finance world touts SIP (Dollar Cost Averaging in foreign terms) as the best way to invest.
One invests a fixed amount of money at a regular interval (daily / weekly / monthly / quarterly). In short, it is transfer of money from cash to a particular asset (mutual fund / direct equity called the DIY-SIP or other such names).
One switches/transfers from one mutual fund to another at regular interval, if the money is already with the AMC (asset management company). In other words, you just setup a transfer from one MF to another, most commonly this is done from liquid/short term funds into equity funds.
The investment of the whole lot of money into an asset.
Basic Guiding Principle: The overall average return of various asset classes vary. In the long term, the cash and cash-equivalents produce low but fixed returns, while the equity assets produce high returns with volatility (in most cases).
10L in an equity fund (or equity-oriented hybrid fund) on day 0. OR
Put your money in a short-term debt / liquid fund and start a STP into the equity fund at monthly (120 instalments) / yearly (10 instalments) intervals.
Keep your money in your bank account and start SIP into the equity fund at 120 monthly / 10 yearly intervals.
Start putting your money into your account / liquid fund over all those 10 years, and then invest lumpsum at the end of 10 years, OR
You should start putting the money directly into Equity as a regular SIP.
The answer is obviously 2, since you will not be missing out on all those 10 years of equity returns.
This is just another form of 1. As we understand, Lumpsums tend to win more often than not as compared to SIP, it is better to put a single SIP at a comfortable time. By comfortable time, I mean that if you receive your salary on 5th, then set up your SIP date to 15th or so; this gives you flexibility when your salary will get delayed (it is almost inevitable that this will happen). The added advantage of a single SIP is that the paperwork of future capital gains tax calculations will be easier. Having weekly/daily SIPs will have hundreds of entries and calculations after a few years.
if you have money to invest for a long term, put that money into a diversified equity asset ASAP. If you have got lumpsum (eg, bonus money or tax refund), then invest lumpsum. If you have regular stream, then invest at a regular interval.
There's no such thing. It's rare for markets to move up / down so much in a single month, that a single SIP instalment being on a different date would make a sizeable difference in your long term.
There's no such thing.
It's rare for markets to move up / down so much in a single month, that a single SIP instalment being on a different date would make a sizeable difference in your long term corpus.
If you start investing today via SIP, and analyse 10 years later, you'd find that, say for example, 23rd of the month was the best day to invest for your funds. That's something you can know only if you know the NAV history of next 10 years, which no one does.
What about the apps that show you best date of SIP?
These platforms or services are showing you, the "best" date, to prevent an analysis-paralysis. It's "one less thing to worry about", therefore prompting it to the user would mean higher conversion rate (assuming this is a metric these platforms are measuring - how many people complete setting up their SIPs).
This is good for the platform, as it's helping the user feel psychologically safe that they're able to see some analysis, no matter how useless it is.
However, the only thing they've done is take past NAV data, and found out what has been best date of SIP for a particular fund over a period.
Since past performance is not indicative of future performance, anything derived from past performance is also not indicative of same metric for future.
If between 2001-2010, 5th of the month had been best for a particular fund, say SBI Bluechip (not a recommendation, just using as an example) - that does NOT mean for next 10 years (2011-2020) same exact date was best for the same fund.
For instance, some people believe that the last Thursday of the month coinciding with options expiry date, can be best for investment. This is obviously not backed by any sound analysis.
What does a sound analysis here look like?
You might find articles on the internet that draws some conclusions.
Take the 2010-2020 period. It's a 10 year period, with 120 months. That's 120 transactions. Assuming each month to be of 28 days (to account for February); this would require comparing across 28 time-series data sets, with each having 120 entries; for every fund.
But that's not all! Imagine someone investing on 28th of a month, instead of 1st of a month after salary credit (assume this person gets paid by employer on last day of previous month). Then these 28 days, this amount has been parked in savings account or overnight fund or even short term FD.
A proper analysis on best date for SIP would also have to involve the interest income from this and tax paid on these gains, which again, have varied greatly over any meaningful period.
As you can see, there are too many variables; and that's just with one single fund. India has more than a two thousand mutual funds, as of now.
Finally, consider that people don't invest the same amount via SIP over a ten year period. Some people increase the amount of SIP that they do every year as their salary increases. Some of them pause their SIPs from time to time, or skip a few installments here and there.
To sum it all up; there might be a best date for SIP in a month, and it depends on lot of factors that one cannot easily simulate with past data. But even if they did and found one, that date might not be best for your investment pattern for next 1-2 decades.
Invest on a date of month you're comfortable with.
Avoid. LIC and the agent would take most of it. You'd be left with peanuts. It's one of the most opaque form of investments, and there's no guarantee. Govt. backs LIC, not your financial future.
LIC doesn't create money out of thin air. Over-simplified & shortened description of how it works: It collects premium from policyholders, then it invests that in market-linked securities (bonds, stocks, CP, CD, commodities etc.). Eventually, it pays out policyholders after keeping some cut for itself.
Unlike bank or post-office deposits, LIC returns are not legally guaranteed. Govt. of India is a major stakeholder in LIC, but that does not mean it's a major stakeholder in your future. Govt. would do its best to prevent LIC from going under. But your returns come at the cost of LIC's income - when those two are at odds with each other, Govt. would pick LIC over your financial future.
In practice, LIC returns money you'd paid as premium + some bonus. There are different categories of these bonuses: loyalty bonus, guaranteed addition etc. LIC wants to make you feel they're doing you a favor by giving you some bonus. Historically, a bank FD / RD at SBI would have had higher returns than LIC policy over a given period.
You can know your bonus after the policy matures.
LIC is also not allowed to invest freely. They are the largest financial services company in the country, and have much more cash than any other financial institution, that they can invest. However, large corpus of few lakh crores are not easy to invest. So they have to look for distressed assets, or wait for really bad market condition before deploying sizeable chunk of that cash.
There's also political interference to consider - as evident from LIC's bailout of IDBI bank. LIC's hands are tied, in when it comes to where they can / cannot invest.
Over long enough period of time, LIC returns have also significantly underperformed equity market returns, namely Nifty & Sensex Total Return Index.
Now, consider various charges on insurance (mortality charges, admin fees, risk premium etc.). These are not shown to you (the end policyholders); but these eat away your corpus and line up LIC's pockets.
Your agent would tell you to invest in LIC policy, because that helps him earn commission. Your parents would pressure you into doing it, because most likely they'd not be aware of other investment options.
The fact that it has tax benefits is of little concern, because gains from LIC policies are so low, taxing it won't make much difference in final corpus size, post-tax.
At its core, an LIC policy is an insurance policy. The cover provided by this insurance is inadequate, to take care of your family's financial needs in your absence. A pure term cover is better, which works very different from how a typical LIC policy works.
But none of the above covers real problem with an LIC policy - it locks you into a lifelong decision much early on. For a lot of people, who had subscribed to LIC policies 20-25 years ago, and seeing their policies maturing now - the maturity amount is probably not even worth a month's income.
Due to inflation, the maturity estimate which might look huge today, would be much lower in value, upon actual maturity.
These premiums cannot be changed once you start paying for a policy. You have no option of stepping up your premiums as your salary increases year on year.
Overall, an LIC policy is rigid, wasteful, and doesn't provide adequate coverage. Tax benefits are not good enough to offset the opportunity cost (i.e. you're missing out on other efficient assets and time).
Avoid LIC policies, buy vanilla pure term cover, and invest in efficient market-linked transparent assets yourself. If your question is but what if markets don't do well in next 15-20 years?, then the LIC policy also has same fate.
The general perception of the term "LIC policy" is any moneyback/endowment policy, in which there is some investment component also, i.e. after the end of the term of the policy, you will get money returned back to you. There are pure protection plans available by LIC and other insurance companies, which are what are recommended. In case of LIC, these are Jeevan Amar and Jeevan Tech Term. All others are some combination of moneyback plans.
Pick a fund that you like. No point having more than one ELSS fund. But know why you're investing in ELSS in the first place, because it's equity, and you should give it longer than 3 years to perform
When it comes to ELSS, present categorization gives the fund managers wide berth in picking stock from Nifty 500 universe of stocks. They can pick any stock from top 500 stocks listed in NSE / BSE - this is different from funds that are categorized as large-cap, mid-cap, small-cap, or multi-cap funds. Only flexi-cap category of equity funds is similar.
This makes it tricky to pick an ELSS fund, because all funds from these category might not be on the same footing.
You can look at past returns, or metrics derived from past returns (alpha, beta, sortino ratio, and other greeks); but all these won't indicate how a fund would perform in next time period of similar duration.
If a fund had 4% alpha on its benchmark over last 3 years; it's not an indication of what kind of alpha it would have going into next 3 / 5 / 7 years.
Active fund picking is hard, and ELSS having widest latitude can be really hard to pick the right fund that'd perform great after you invest in that.
For instance, until 2015-16, Nippon ELSS used to be one of the popular recommendation on many mutual fund portals. Since then, next 3-4 years haven't been kind to this fund, owing to this fund's huge bets on infrastructure / manufacturing sectors.
Conversely, Axis Long Term Equity (not a recommendation, using as illustration) has done better than expected over the same period.
In 2020, Canara Robeco ELSS fund looked like a great fund, doing much better than its peers over last 3-4 years. But 3-4 years ago, or even a year ago, it wasn't doing anything extraordinary, that it'd get into anyone's radar.
The harsh truth is, you can pick an ELSS fund, and at best hope for it to do well-enough. We've discussed in these FAQs how picking the right fund isn't exactly a big requirement - if you pick something that does ok enough, and give it time, that's fine.
ELSS investment which would be countable under 80C deductions is capped at 1.5L per year (though you can invest more than that amount in one/multiple ELSS schemes, the amount available for 80C will remain at 1.5L as per the current IT laws). On top of this, most salaried workers have PF, insurance etc., limiting ELSS investments to much lower value. If the investment principal is small, return difference isn't that important.
Just pick one, you're as likely to be wrong as you could be lucky.
No! You do not need demat account / trading account, to invest in mutual funds.
No! You don't need demat account / trading account, to invest in mutual funds.
Mutual funds are sold by AMC (Asset Management Companies) directly to you. RTA (Registrar and Transfer Agent) of the relevant AMC processes the transaction, and keeps records of your units purchase or selling.
It's already stored electronically, with legal ownership that it belongs to you.
For instance, if you buy units in SBI Bluechip fund, then SBI AMC would issue you units. And its RTA, CAMS, would be responsible for maintaining these transaction details as source of truth, when it comes to your holdings in the fund.
If you add demat on top of that, it'd create an extra layer. Now that extra layer is beneficial for you or not, would vary from person to person.
The following are the pros and cons of using Demat folios:
Loan Against Securities(LAS): You can gain access to a variety of loans, predominantly from a bank, by offering the securities (like mutual funds) as collateral; that are maintained in your demat account. These securities can be pledged as a collateral for obtaining a loan from your bank.
Easy Claim Process: Mutual Funds or stocks in demat are much easier to claim by dependents (nominee of demat) in the case of death. Direct plans with multiple AMC’s (fund houses) would otherwise mean multiple folios, which would be difficult to aggregate and claim.
Porting & Vendor lock-in: Demat folios (folios where your units are purchased through a broker in demat mode), don't let you easily port these into other platforms. In non-demat mode of holding (also known as Statement of Account mode, or SOA mode); your units are only with the RTA, and you can purchase through one platform (INDMoney, for example), and sell those units through another platform (say, MFUtility); while track your portfolio in a third platform (Kuvera or PayTM Money, for instance). You get best of all platforms, when you invest in SOA or non-demat mode. Compared to that, investing in demat mode means you must transact on those units, only via your broker.
Extra Fees & Charges: Demat mode of holding also adds extra charges, in addition to usual charges of mutual funds like the expense ratio, for each transactions. Depository fee, annual maintenance fees for your demat account, withdrawal stamp duty etc. are examples of charges you'd typically incur, should you use demat account. For a full list of all fees, you should ideally check with respective broker.
If you are confused which one to choose, select the non-demat mode. You aren't limited by the platform in this scenario.
You can transact on your folio through any platform of your choice, track your holdings in any other platform of your choice.
If a platform doesn't offer a functionality (say, instant redemption from liquid funds, or creating new folio for tax optimizations on short-term withdrawals), you can directly use the web portal of the respective AMC to place that particular transaction in your folio.
It gives you a freedom so that you're not vendor-locked-in with your broker or platform.
Presently, platforms like Coin, HDFC Securities etc. offer mainly Demat mode of holdings exclusively. So you might want to think through and understand these inconveniences before signing up on any of these.
For updating the details like nominee or bank details etc., you can use MFUtility since it provides the opportunity to update the details across fund houses with a single application.
Pick one you're comfortable with, as long as the platform allows buying direct plan, growth scheme; free of cost. Beyond this, your specific choice of app won't affect your returns.
In India, presently there are many Mutual Fund platforms available, for free. Being spoilt for choice, it can get overwhelming to decide which one's best for you.
To begin with, this choice is not as important as you'd like to think. For most apps, if you use one and don't like it, it's pretty straightforward to be able to move to another platform. It's a reversible decision.
But there are a few that you should avoid. For instance, the ones that sell regular plans.
💡 Direct plans of mutual funds must have the word direct in its name. If you don't see direct in the name of a fund, it's a regular plan, and you should not be investing in that fund.
Coming back to existing platforms that offer direct plans to Indian investors, we can broadly categorize these in two main types of mutual fund application/service categories.
Third party applications
Applications or platforms provided by the fund houses or RTAs
These are provided by third parties (the investor is the first party, fund house / RTA are the second party) which offer various transaction options to users for buying funds directly.
Most commonly, these 3rd parties are SEBI registered RIAs (Registered Investment Advisory); but can also be other AMFI distributors, or an umbrella organization backed by a group of fund houses.
They act like one-stop shop for various mutual funds, provided by almost all the fund houses.
Most common and popular funds are available on most of these platforms. However, if some fund or a fund house is not available in a channel / platform, you should check with their support on when that'd be available.
Some of the popular ones are listed below in alphabetical order.
Coin by Zerodha
ETMoney
Groww
INDMoney / INDWealth
Kuvera
MFUtility
Mobikwik
Niyo Money / Goalwise
Paytm Money
Available functionalities or missing features of these platforms are captured below in a table:
Direct Mutual Fund
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Fees
Demat & AMC fees
0
0
0
0
0
0
0
0
Goal Setting
By tagging
Yes
No
Yes
Yes
Yes
No
Yes
Yes
Family Account
For HUF
No
No
Yes
Yes
Limited
No
No
No
Assets other than MF
No
Yes
Yes
Yes
Yes
No
Yes
Yes
Yes
TAX Statements
Yes
Yes
Yes
For Prime members
Yes
No
No
Yes
Yes
History Tracking
No
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes
Automated Reinvestment
No
No
No
No
No
No
No
Yes
No
Skip an SIP
Yes
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
NAV Cutoff Time
Before AMC cut-off time
Before AMC
Same as AMC
Same as AMC
Same as AMC
Direct Mutual Fund Per SEBI regulation, all fund houses must offer a direct plan version of all their funds; where no middle-men can earn a commission for selling that. This reduces cost for the investor buying the fund. It improves returns by reducing cost over long run. Over any given period, direct plan of a fund would do better than regular plan of same fund.
Fees There is no charge of any kinds of fees associated with buying units in a direct plan in the app, or setting up / cancelling SIPs. Note that some of these platforms have membership programs, or make some features available for a fee. We're not considering that here - only concerned with the ability to invest in direct plans, for any amount with any number of trades.
Goal Setting A feature to set a goal for a specific amount of time so that you will be able to invest for it & track it.
Family Account Ability to manage portfolios for multiple accounts (For e.g., spouse, Joint account) from a single user account login.
Assets other than MF Ability of the platform to offer other assets like Gold, FD, Stocks, Bonds etc other than just Mutual Fund. Note that Coin by Zerodha offers only mutual fund; to be able to buy shares or bonds or ETFs, you'd need to download other products from Zerodha.
TAX Statement Does the platform provide the statements for tax filing purpose (For e.g., Capital Gain Statement), or just to estimate tax liabilities for advance tax payments?
History Tracking Ability of the platform to track the history of our portfolio ,irrespective of whether we purchased the fund from the same platform or not. In other words, can an investor just sign up and import their portfolio, built over the years, and track the performance all in one place?
Automated Reinvestment Does the platform to automatically change the allocation percentage of your investment to debt & equity based on how near one’s goal is?
Skip an SIP Option to skip the SIP for a month or a predetermined time. Note: Several platforms stops the investment and then start a new round again instead of pausing. This might create issues, especially if AMC has put restrictions on new SIPs. Do check with latest updates on your fund, from your fund house.
NAV Cutoff Time This time determines the Net Asset Value (NAV), at which you can buy the fund units for that day. If an order is placed after this cut-off time, it'd be processed as an order of next business day. Ideally, you'd want a platform that enforces same cut-off time as the fund house / AMC; and not a restricted form of it. For instance, Coin by Zerodha has a cut-off time of 1:30 p.m. for all funds on their platform; while one can place an order in equity funds after 1:30 p.m. on most other platforms, and still get the NAV of same day.
The fund houses also provide web portals / applications to manage the funds, offered by them.
So you might end up managing a bunch of applications to track your portfolio, having to deal with multiple logins on different websites.
Another option can be to use MyCAMS or KFinTrack. While these are provided by CAMS and KFinTech respectively; these don't offer all funds on their platforms, except for the ones from the AMCs whose RTA is also providing the platform.
For instance, if you invest in Axis Bluechip (using as an example, not a recommendation) Direct Growth, it won't show up in MyCAMS app. Because RTA of Axis MF fund house is KFinTech. Similarly, an investment in SBI Small Cap Direct Growth won't be visible in KFinTech app.
Other option is to have all the mutual fund investments from a single fund house.
But that's generally not a good idea, for many reasons (for instance, similarities in fund management styles or investment philosophies can make all the funds from a single fund house perform in a similar way). Practically, most investors would've investments with more than one single AMC.
As long as you are buying direct mutual funds and not paying any maintenance charges, you should be fine with any of the application listed or not listed above.
And if you don't like one that you'd started with, you can easily move to another platform. We highly recommend testing out these platforms, preferably by placing a small order (say, 100 INR in ICICI Liquid Direct Growth or IDFC Insta Cash Direct Growth) and testing the order flow, end-to-end. Then continue with the one you liked!
Below are the options you can consider based on our analysis.
Kuvera: If you are a beginner and is trying to get into the market for the first time.
Niyo Money / Goalwise: Just wanted to get the money invested for a period of time without worrying about whether the fund should be equity based or debt based or a combination of these.
Groww: If you need a platform where you can invest in stocks and mutual fund at the same time.
INDMoney: If you want a platform which can track everything from daily expenses / investments, to credit scores.
Frequently asked queries in our community, and their answers.
Avoid. Insurance company and bank RM would make gains; but you could do much better not mixing insurance with investments. Insurance cover is inadequate, returns from ULIPs are lower than bank deposit
This is not that different from the query on LIC. Bank / Insurance company would take your money, invest in some market-linked securities, deduct insurance related charges; and give you back peanuts. Upside is limited, but bank would sell you on the idea that downside is also limited.
As a rule of thumb, any policy or plan sold by bank, especially one that has a smart in its name, can be avoided without further consideration.
ULIP (Unit Linked Insurance Policy), Endowment plan, Annuity Plan - these are all great plans for the banks & insurance companies. But they are terrible for you.
Before buying into any bank products that are sold with such hopes and optimism, ask the bank RM to put you in touch with an existing subscriber, so you can review returns-in-the hands of an investor who actually invested in that.
Note that just because a bank RM is selling you, doesn't mean its returns are guaranteed by the bank. Other than bank deposits, nothing else is guaranteed, even if a bank sells you that.
You can look at the brochure / policy doc, and you'd see nice fat projections. But that's all those are - projections. Per IRDA regulation, banks & insurers can create projections with 8% and 4% return as illustrations.
That's not a guaranteed amount.
As said above, buy term cover if you need insurance. Invest in market-linked cost-efficient assets if you need returns. Most importantly, don't mix insurance with investment, where investment pays for the insurance.
Smallcase has tools which can help managing a stock portfolio better than most platforms. But do your own due diligence, before you invest in a smallcase; and not just because the CAGR looks great.
There are two parts to investing via smallcase:
the tooling around managing a watchlist of stocks, which enables us to execute transactions at portfolio level rather than at scrip level
the basket of stocks offered by smallcase themselves, such as the Low Risk - Smart Beta smallcase, which can have a collection of stocks, ETFs, commodities etc.
There's no doubt that the usability of smallcase, as a tool, to manage a stock portfolio is quite good. When we say "usability", we mean the user experience of using the smallcase website and its aesthetics. If you already have a plan to invest in a collection of stocks of your choice, you can create a watchlist and place orders using smallcase.
The second aspect requires smallcase having a proven track record. The people responsible for maintaining the various basket of stocks on their platform should be capable stock pickers themselves.
We're mostly concerned with the second aspect in this article.
Depending on the portfolio turnover, there can be significant tax drag for you since you'll be buying and selling units regularly.
Smallcase is typically known for rebalancing their portfolios once every 90 days, for most of the portfolios.
The act of rebalancing could result in some stocks being sold from your smallcase portfolio, which would also attract various charges associated with selling a stock.
Since these are all negative cashflow transactions in your portfolio, your portfolio XIRR would end up falling behind the advertised CAGR of the same smallcase, over the same time period.
There's a lack of a proven track record that can be independently audited and verified.
Asset Management Companies (AMCs) are legally required to publish the Net Asset Value (NAV) of their mutual funds everyday, and the list of holdings held by their mutual funds every month. This means that an AMC can’t give you random numbers. They are forced to keep everything in the public’s eye.
This is not true for smallcases.
Smallcase is selling Backtested Models.
Backtesting needs to be free from various biases, such as look-ahead bias. Strategies derived from a backtest would always show great results when simulated over the same time period.
It’s hard to say if that’s what’s happening here; but since the appropriate data and disclosures around their modeling and backtesting is not present in the public domain, it makes sense not to just take them at their words.
There used to also be some concerns around smallcase not being upfront with some of their numbers. They include backtested portfolio in computing returns of the smallcase, which is not at all how any asset management services report their returns.
According to their recent blog post, they’ve updated some of their reporting to exclude such misleading data that could have potentially enticed curious investors to invest in hopes of high gains.
Finally, keep in mind that past returns are not indicative of future returns; and asset returns can be very different from portfolio returns.
A good investment is an outcome of a fact-based logical process. It should be rooted in better reasoning than just reported past performance of the asset.
Here are a few bars that the baskets of stocks offered by smallcase has to meet for it to be an investment worth considering:
Disclosure on Insider Holdings
It’s easy to trust an asset if the entity offering it themselves believe in the same, and invest in it.
Smallcase should, ideally, indicate net insider holdings against each basket of stocks that they offer on their platform.
Anyone can come up with a portfolio of stocks. However, if people from smallcase showcase that they're investing in their own basket of stocks offered on their website, it’d engender more trust in smallcase.
A commonly accepted qualitative metric of mutual fund selection, is to look at key insider holdings — after all, why would someone else invest in a basket of stocks, if the entity offering it cannot get their own employees to invest in those? AMCs have to disclose insider holdings in their mutual funds as a percentage of net AUM to show how key insiders are invested in those.
This clarity is need of the hour.
Disclosure on Portfolio XIRR
Smallcase Baskets, by design, are a product where return difference due to both behavior gap and costs can be very high. They're not a standard buy and forget product.
Behavior gap is a well-defined term. In short, it denotes the difference between underlying asset’s returns, and returns as investors see in their portfolio, due to behavioral reasons.
This is a well-known phenomena in investment, and various firms over the years have published studies on anonymized bulk data, that even when assets perform decently, most investors who invested in those assets, over same period of time, wouldn’t see those returns in their portfolio. It’d be significantly lower.
A mutual fund is structured as a trust, so rebalancing doesn’t create any tax events for end investors who are invested in the same mutual fund. As for costs of STT, brokerage, and other fees associated with selling; all covered under expense ratio of the fund, which would be minuscule on a per-investor basis.
As discussed above, mutual fund NAVs are already post-cost, therefore so are the returns.
In addition to reporting CAGR of the portfolio, one should also expect to see on an average how a typical investor’s portfolio has performed, after costs, in that smallcase basket.
Publishing these numbers would only make it easier to trust smallcase that they have the best interests of investors in mind.
Disclosure on Portfolio History
Due to periodic rebalancing, the latest version of stock portfolio of a smallcase basket won’t be how the same as it was a few months ago. It could even be wildly different from how it was a few years ago.
If they were to publish stock portfolio history of their own smallcase baskets independently, it gives an investor an opportunity to validate:
whether the smallcase basket in question has stayed true to its mandate or not, as the theme of the smallcase basket dictates
whether the actual computed CAGR of the smallcase basket matches the CAGR advertized on the smallcase website
TL;DR: use the product if you like its usability; but not because you think their investment advice alone would make you great returns.
When using the smallcase website, you should use it as a tool to narrow down a watchlist of stocks and then do your own due diligence into underlying companies before investing in them.
Some banks do sell guaranteed annuity and similar products. Putting those in a single excel sheet, or Google Spreadsheet, and invoking XIRR()
function would show you that returns would barely be anything close to long term FD returns. Here's an example from #insurance channel:
| |
With various regulations in place for insurers by IRDA; there are not many advantages of paying a premium to larger, and otherwise reputed, companies for their term insurance cover.
When buying a term cover, anyone would want to do their best to ensure their nominee(s) can claim the cover amount in their absence, if the worst were to happen. But it's easy to let our emotion guide us, what should be a rational process.
With various restrictions in place by IRDA (Insurance Regulatory and Development Authority), there aren't that many advantages of paying a premium to large reputed companies for their insurance cover.
Let's analyze various concerns you might be having, and how those stake up.
Do investigate under which all circumstances they could reject a claim. It can be done by reading policy terms & conditions carefully, or getting details in writing from insurer.
But unlike health insurance, term insurance is much simpler. As morbid as this sounds, this question has a binary response.
Either insured person is dead or they're not dead. Even suicide is covered after 1-3 year of policy depending on the policy, which essentially means after a certain point of time insurer cannot reject a claim holding insured person responsible for their death.
This is not true. According to Insurance Laws (Amendment) Act 2015 Section 45 ()
No policy of life insurance shall be called in question on any ground whatsoever after the expiry of three years from the date of the policy, i.e., from the date of issuance of the policy or the date of commencement of risk or the date of revival of the policy or the date of the rider to the policy, whichever is later
This means, after 3 years of continued payment of premiums, even if they find that some information about your medical history isn't correct in the insurance forms you had submitted, they can’t reject the claim on grounds of non-disclosure.
So, ensure that you provide correct information to the best of your knowledge when you take a life insurance.
But no need to worry about claims getting rejected because you missed to cross a ‘t’ in your form; if you've paid insurer premiums for at least 3 years.
They cannot!
As per the regulation 14 (2i) of the IRDAI Policy holder’s Interest Regulations 2017, companies need to settle the claims within 30 days of receipt of the documents. If they require further investigation, they need to do it in 90 days.
Maximum time period one's family needs to wait, is 90 + 30 = 120 days.
Insurance broking companies like Policybazar, Coverfox etc. have representatives in major cities who will be able to do the documentation on our behalf in case of any claim.
They will be able to guide us in getting the needed documentation thus decreasing the chances of delay.
Sections 35, 36 and 37 of the Insurance Act provide guidelines of amalgamations and transfers of insurance business.
As per this, an insurance company just cannot exit the business.
It can only merge with other companies and that too with certain conditions, thus protecting our insurance cover.
They're also required to maintain the solvency ratio of 1.5 which means if the company gives 100 Rs cover, they need to keep aside 150 Rs (see note), thus ensuring that the company will be reasonably able to provide the insurance money.
Note:
Solvency ratios in insurers is (Net Income + depreciation) / Liabilities. So example is not 100% accurate, but an approximate.
You can check the history of Aegon Life & IndiaFirst insurance on how the partners exited the business, merged with others etc. due to business and regulatory reasons; without affecting policy terms and conditions with insured persons.
CSR (Claim Settlement Ratio) is number of insurance claims settled, as a percentage of claims received by the insurer. It's a metric every insurer has to publish with the regulator.
While this is an important number to look at; some of us really overdo it, extrapolating to imaginations that aren't apparent from the raw data itself.
To begin with, if an insurer has a CSR of 96%, then it does NOT mean that your claim has a probability of 96%, of getting approved. Your case, if it ever comes to that, would be treated by claims department of insurer, as a standalone case of its own.
CSR is a lagging indicator, i.e., it only says what has happened; not what would happen in future.
What you should be more interested in, is the potential future value of your insurer's CSR, around the time of insurer's demise. Since there's no way to predict that (can you really predict what would be CSR of Max Bupa in another 10 years, looking at its CSR of past 5 years?), it's almost pointless to look at CSR as a guiding north star.
A relatively new entrant in insurance market, would've a younger insurance user base; and therefore lower CSR due to higher chances of rejection.
CSR can be sensibly used as a baseline selection criteria. For example, one might not consider insurers that have not scored more than 90% on their CSR in last 5 years.
But it's naive to think that if CSR of insurance company A is 98%, while it's 95% for B; therefore your family might've 3% extra probability of getting your claim approved if you were to get it from insurer A.
Chances are, if B has a good reason to reject a claim, most likely so would A.
These arguments are based on the rules as of today and is subject to change it future.
But historically, the rules have only gotten stricter, and not the other way around.
So, it is safe to assume that there is no real advantage of going with the company with good names. What you may consider is the solvency ratio and the customer service
You may also avail policy under MWP Act if you are married and got loans and other liabilities to ensure that the insurance money is passed on to your wife. You may find it easier to get this option if you go with online insurance brokers
Taking rides like accidental death might not be a good idea since it is hard to prove.
But some rides like critical illness got its own use case since the policy premium increases as you age if you take it separately.
You should assess your own situation and take a call on riders, since it is beneficial to have separate insurances instead of add-ons and keep the life insurance in its vanilla form.
Till the age someone is financially dependent on your income. Ideally 60-65, no more.
A term cover is an income replacement plan. It should be covering you, till you've dependents who're reliant on your income, and miss it if something were to happen to you.
This money would never be yours. It's meant for your family, in the event of something highly unlikely.
It matters because for most people with income from salary or contract work; it'd be hard to sustain their income after age of 55-60.
At that point, they'd ideally have enough savings or investment corpus, or annuity or pension to take care of their day to day expenses , for the rest of their remaining life.
It's hard to imagine one having to support their immediate family members financially, after an age of 60.
While most term insurers offer insurance coverage up to age of 70-75, or even 80 years of age; it only serves to increase the premium.
You shouldn't have to buy a cover for a scenario, and pay extra in premiums; when you don't even need it.
Optimally, a term cover up to age of 55-60 makes sense.
Ideally, if you reach a state where your savings + investments far exceed the cover amount (for example, by more than 2x-3x); then it makes sense to cancel the policy and stop paying further premiums. In the event of your demise, your nominee(s) would simply inherit your corpus.
If you plan well, you would actually make the term cover moot well before your retirement
In a well run plan, you would start creating assets soon enough. Even if you have a few years of earning/investing left, your corpus may be sufficient to take care of all the financial goals that outlive you. When you reach this state, you don't require term covers. Example: Say you have two financial dependents and are building a retirement corpus for the three of you. There may be a few more years required to build the corpus for all three, but you would have built the corpus for the two dependents earlier. You can then cancel the policy.
IndiaInvestments is a community to discuss investments, insurance, finance, economy, and markets in India. This website is a collection of advice and information we have organized as a community.
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Pick a screener which doesn't bias you for or against a stock. But you should compute the ratios yourself, from ARs, to understand the assumptions behind those computations.
Though stock-screeners calculate a lot of things, you must do your own calculations too. You will miss a lot of good opportunities or make some expensive mistakes if you consider only the pre-calculated values.
The objective of this article is to explain the importance of your own calculations. The article provides examples where the screening portals might not give right results. The examples are not to demean any portal but to explain the reasons for the difference in numbers across websites.
Lets consider the dividend yield of Britannia Industries as on 29th April 2021 (#britannia-industries-dividend-yield):
The differences are because of different treatments of interim dividends. While screener.in
considers all the interim dividends of FY21, MoneyControl
considers only FY20's dividends. MorningStar
considered only one of the two interim dividends (probably assuming the other one as a one time special dividend).
Another interesting case is that of Majesco. The dividend yield as on 29th April 2021 on various websites is (#majesco-dividend-yield):
The company sold off its US subsidiary and distributed most of the proceeds from the sale. The US subsidiary contributed over 90% of the company's revenues and assets. Thus it is safe to assume it was a one time dividend. The future dividend yield in such a case would be around 0 to 5%.
Relying on any screener and buying highest dividend yields shares blindly can make costly errors in such cases.
Let's consider PE ratio of ONGC on different websites as on 29th April 2021 (#ongc-pe-ratio):
The company reported:
The differences across websites is because:
ValueResearchOnline
and MoneyControl
considered consolidated EPS as reported by the company.
Screener.in
considered consolidated EPS but added back the exceptional losses.
BseIndia.com
and NseIndia.com
considered standalone EPS.
The correct PE depends on your individual judgement on how you interpret the impact of exceptional items on future earnings.
The PE based on last 5 years average earnings will be 8.29. This is what Benjamin Graham recommends to use in such cases.
The text-book definition of gross profit margin (GPM) is sales - cogs
.
COGS
is cost of goods sold.
Most websites will show the gross margins on this standard definition. However, this can sometimes be misleading.
Example in case of TCS - screener.in
shows the GPM as 100%. This is because TCS has no inventory. But the correct metric for COGS
in this case should be their employee cost.
Similarly in case of banks, most websites (eg screener.in
), don't consider their interest cost in OPM (operating profit margin) and GPM (gross profit margin). Thus these numbers are shown exceptionally high.
Screening companies on margins can often yield incorrect results for:
Insurance companies
Banks
Finance companies
Mining companies
In case of Abbott India, the ROIC reported as on 29th April 2021 is (#abbott-india-roic):
The company held fixed-deposits (cash equivalents) of ₹ 2,197 Cr in FY20. While TijoriFinance
excluded these cash-equivalents in the calculation of capital employed, other two websites didn't exclude it.
These differences in the methods of calculating ROCE, ROIC, ROA and other return ratios can yield wildly different results. You can sometimes miss some interesting companies because their calculated return might be much lower than their economic return ratios.
The auto-calculated ratios on websites can often be different from manual calculations. Those calculations will often miss sector specific adjustments or "special cases" which are too frequent in the investing world.
Don’t rely blindly on any portal or report. Do your own due-diligence.Cross-check the numbers with your calculations.
Trust, but verify.
Though the websites and portals do their best, there are lots of nuances in the footnotes and schedules which are hard to capture. This mandates the due diligence from the investors and also provides opportunities to them.
To understand how to use a screener, you might want to check this out
We've reached out to some of the teams behind these screeners and have pointed out these issues. They've assured us that they're looking into this.
Tijori Finance moved to paid subscription model now
For shorter durations, few days to few months; Overnight funds / Liquid funds / Money Market funds are alright. High Yield Savings Account (HYSA) are ok. If large amount, consider registered advisor.
First of all, it should be clear what you mean when you say "park money". You intend to keep some money safe somewhere for a requirement that's going to come up in the near future (somewhere between a few days to 1-3 years down the line).
As a thumb rule, avoid co-operative banks and small finance banks. Although DICGC insures your deposits in a bank account up to ₹5 lakh, it's better not to rely on it and take unnecessary risks.
Check out the links mentioned below if you want to know how to evaluate the health and safety of banks in India.
You can also park your money in certain debt mutual funds. This includes overnight funds and liquid funds for parking money for a few months and money market funds for a few years. However, note that unlike savings account and fixed deposits, debt mutual funds are marked to market which means that you should expect some volatility in day to day NAV. This volatility is mostly negligible in overnight and liquid funds, but we have seen events like the Covid-19 crash in March 2020, when even liquid funds experienced a few days of relatively high volatility.
Here are the NAV graphs of HDFC Liquid fund, the biggest liquid fund in India in terms of AUM, and Parag Parikh Liquid fund, during the covid crisis.
Prior to the 2023 Budget, debt funds used to enjoy indexation benefits when it comes to taxation if they were held for 3 years or more. This is no longer the case for debt fund investments made on or after 1st April, 2023.
The below example showcases indexation benefits applicable if you had invested in a debt fund prior to 31st March, 2023.
We've considered the Cost of Inflation Index (CII) values between FY19 and FY21, which are 280 and 301, respectively. The indexed cost of investment, at the time of redemption in FY21, becomes
Last, but not least, there are arbitrage funds. These debt MFs are taxed like equity MFs so you don’t have to pay any taxes if you park your money for more than a year and your gains during redemption don’t exceed ₹1 lakh. This might sound good on paper but arbitrage funds are significantly more volatile than liquid funds and don’t offer instant redemptions either. The returns from arbitrage funds also depend on the availability of arbitrage opportunities and this has started to come into question. For more details, check out this article (archive.org link | archive.is link).
At the end of the day, when it comes to parking money in arbitrage funds, buyer beware.
Now that we've covered where you can park your money, we'll list some instruments where you probably shouldn't park money for planned redemption in the near future.
any debt mutual fund with somewhat significant interest rate or credit risk This includes credit risk funds, dynamic bond funds, gilt funds, banking & PSU funds, ultra short, short, low, medium, and long duration funds, and corporate debt funds.
hybrid mutual funds
index funds like UTI Nifty index fund
any other sort of equity mutual fund
stocks
It doesn't make sense to compare the expenses of Indian Index Funds and ETFs with Vanguard's Index Funds and ETFs. Vanguard's S&P 500 fund has more AUM than the entire Indian mutual fund industry AUM.
The difference between regular plans and direct plans of mutual funds is explained in the article linked below. In short, regular plans have an additional cost of distributor commission. This doesn't go to the AMC.
The list of expenses borne by UTI Nifty index fund in FY20 are as follows
Expenses
₹ in lakhs
Management Fees
GST on Management Fees
Trusteeship Fees
Marketing & Distribution Expenses
Custodian Fees
Registrar Fees
Investor Education Expenses
Audit Fees
Other Operating Expenses
TOTAL EXPENSES
People might argue that UTI could've reduced their expenses by not spending as much on Marketing & Distribution or Investor Education but considering they don't have enough AUM or TER to make any profits whatsoever, would cutting back on Marketing expenses help UTI at this point? The longer the fund has meager AUM, the longer UTI would suffer losses here. We should also consider that UTI Nifty index fund was launched back in March 2000, more than 20 years ago. I'm not sure if UTI has made any profits on this fund whatsoever and yet we hear people complaining about the TER of this fund being high.
Unfortunately, the scheme financial documents of MO's S&P 500 fund aren't available yet. It should hopefully be published in the next few months so we can know more about the expense details of MO's S&P 500 index fund.
The Vanguard S&P 500 Fund is actually a class of several different funds all collectively known as Vanguard S&P 500 Fund. The different classes are
Vanguard S&P 500 Share Classes
TER
AUM (as on FY 2020)
Vanguard 500 Index Fund Investor Shares (VFINX)
$$$4.6$$ billion
Vanguard S&P 500 ETF (VOO)
$$$220.6$$ billion
Vanguard 500 Index Fund Admiral Shares (VFIAX)
$$$399.6$$ billion
Vanguard 500 Index Institutional Select (VFFSX)
$$$106.7$$ billion
Each share class has different minimum investment amount requirements and other minor differences. Combined, these share classes have an AUM of 731$$ billion. Using the TER and AUM mentioned in the table above, we can come up with an approximate figure of earnings of 240$$ million in the year 2020. The actual amount is probably somewhat lesser since we haven't considered average AUM in this case.
The total expenses of Vanguard S&P 500 fund across all of its share classes was 184$$ million. This means that Vanguard earned only about 50$$ million in profit.
It should be kept in mind that Vanguard itself is structured differently than most AMCs and the company is owned by the investors in its funds. It was founded by the father of index investing, Jack Bogle, who was a proponent of low cost index investing. It would be fair to say that we haven't had any AMCs similar to Vanguard or influential index investing pioneers in India yet.
https://utimf.com/forms-and-downloads/
https://investor.vanguard.com/etf/profile/portfolio/voo
https://investor.vanguard.com/mutual-funds/profile/portfolio/vfiax
https://investor.vanguard.com/mutual-funds/profile/portfolio/vffsx
Let's start with the absolute basic thing you can do. Nothing. If you want to park money for a few days or a few months, you can keep it in your savings bank account which, as of Jan 2021, would yield anywhere from to in too big to fail banks like SBI, HDFC, and ICICI. Axis Bank and Kotak Mahindra Bank are offering upto .
You can also park your money in a high yield savings account, if available. Banks may offer abnormally high interest rates for many reasons. For example, IDFC First Bank was offering upto interest rate (archive.org link | archive.is link) during Jan 2021. This was at a time when big banks like SBI were offering on their saving account. In this case, IDFC First Bank wanted to improve its Current Account Savings Account (CASA) ratio. As their CASA ratio improved, they decreased their interest rates accordingly. For more details, check out page 42 of the Q3 FY21 investor presentation (archive.org link) from IDFC First Bank.
You can get a deduction of on earnings generated from interest in savings bank accounts under Section 80TTA. Senior citizens get a deduction of under Section 80TTB and this includes interest earned from savings bank accounts as well as bank fixed deposits.
The second natural choice for most people should be bank fixed deposits which have reasonable liquidity and safety for parking money. As of January 2021, most big banks are offering anywhere between to interest rates on FDs. However, unlike bank accounts which are tax-exempt if the interest amount is less than , all interest income from a fixed deposit is taxable. The bank will auto deduct TDS @ if your interest income from FDs exceed . You’ll have to pay any additional taxes later if you fall under income tax slabs higher than .
That being said, investments in debt funds don’t incur TDS or taxes until you redeem money from them. Many liquid funds also offer instant redemption up to at any time of the day although the reliability of the instant redemption depends on the AMC website.
As an example, let's consider lakh parked for 1 year in a bank account, a fixed deposit, and a liquid fund. The interest earned and the actual interest earned after taxes, assuming tax slab, are mentioned as follows:
Savings Account []
Fixed Deposit []
Liquid Fund []
Since the interest earned from Savings Account is less than , this is tax free income. FD and Debt Mutual Funds are taxed at the applicable tax slab.
Let's see what happens when we park lakh for 3 years. This is where indexation benefits come into the picture in debt mutual funds.
Savings Account []
Fixed Deposit []
Money Market Fund []
The indexed gains are and this is taxed at . The taxes payable are . This gives us our actual realized gains of .
Before we begin, Total Expense Ratio (TER) is the amount that investors pay to AMCs for the operative and administrative expenses of managing a mutual fund. If a mutual fund has total assets under management (AUM) of crores and an expense ratio of , it charges crores as expenses in an year.
Vanguard's S&P 500 ETF shares class (VOO) has a TER of and an AUM of about 221$$ billion. This means that it earns about 66 million every year from the ETF shares class. When we combine the AUM from all share classes of Vanguard's S&P 500 fund, the total AUM becomes $$$731.3 billion. For reference, the total AUM of the entire Indian mutual fund industry is $$$431$$ billion.
In contrast, Kotak Flexicap Fund, one of the largest equity funds in India, has an AUM of crores and a TER of which means that the AMC gets about crores every year. In terms of dollars, that's $$$29$$ million.
The total AUM of UTI Nifty index fund was crores at the start of the FY20 and was crores at the end of FY20. Its expense ratio throughout the year was . If we consider the average AUM throughout the year as crores, a TER of would've given UTI approximately crores as earnings from UTI Nifty index fund in the FY20.
The total expenses borne by UTI for its UTI Nifty index fund in FY20 were crores. Even if our TER calculation was an approximation, we still don't expect UTI would've made any significant profit from this fund and let's not forget, this is not charity or a non-profit venture by UTI. Since UTI kept the same expense ratio for UTI Nifty index fund in the FY21, it would've probably suffered losses in FY21 as well. We'll know more once the annual report of scheme financials is published by UTI.
The total AUM of Motilal Oswal S&P 500 index fund as on 31st March 2021 was crores and its expense ratio has been since its launch on 28th April 2020. Assuming an average AUM of crores, MO would've been able to earn approximately crores from its S&P 500 index fund.
We don't think it makes sense to compare the TER of Indian index funds to that of Vanguard's index funds and ETFs. The difference in scale is just too great. The index investing scene in India is at a nascent stage, to say the least, if we compare it with giants like Vanguard. We've seen that a 20 year old domestic index fund like UTI Nifty Index suffered losses in FY20. Considering an international index fund like MO's S&P 500 probably has to face additional expenses, may not be unreasonable. Of course, we'll know more once we have the annual report of MO's funds for FY21.
If that is indeed true, best time to buy gold was a year ago. It can be a great investment, but one cannot judge good or bad investment only the basis of recent returns.
Past performance is not indicative of future returns. If you pick assets after they have performed well, you'd most likely miss out on assets that performs well after you have invested in it.
If Gold has gone up 50% this year, right time to invest in it would've been 1 year ago.
Instead, question your asset selection process: is your selection criteria good enough for it to have picked Gold as an investment a year ago?
In other words, what were Gold's 1Y / 3 Y / 5Y / 10Y returns, 1 year ago on this date? Most likely, it won't have been good, and you'd have passed on that.
Chasing past returns, hoping for a repeat of performance, is called return chasing. It's common among new investors, but even veteran investors fall prey to this. As a rule of thumb, avoid greed in decision making.
This is not to say Gold is a bad investment for next 1Y / 3Y / 5Y. It might be, it might not be. But the fact that Gold has surged in price in recent times; is not a good reason to invest in Gold.
Super top-up is better, as the limit is reset on every claim. While for top-up, it's per policy year
Before we get to the answer for this, we need to define and establish common understanding around some domain specific terms.
A Base Policy, which could either be a group, an individual, or a family floater policy, covers you and/or your family members up to the Sum Insured.
This is for any hospitalizations; for a minimum period of 24 consecutive in-patient care hours, except for specified procedures/treatments where such admission could be for a period of less than 24 consecutive hours.
This base policy might have restrictions on Room Rent (all major hospital expenses are linked to this parameter, as discussed before) and ICU charges; require you to co-pay a specified percentage of the admissible claim amount and have other restrictions/exclusions under the policy.
Given all other conditions like your age, any pre-existing illnesses, number of family members being insured being the same, your base policy premium will increase with every increase in the sum insured. Hence a ₹2,500,000 (25L INR) sum insured policy will have a higher premium than a ₹1,500,000 (15L INR) sum insured policy.
Cost price inflation of medical services and medicines (closer to 10%-15% per annum) and lifestyle diseases can make a base policy of 25L inadequate in the next 5 years, since the time of subscribing in the policy.
Any new policy will also have a waiting period for pre-existing illnesses (PED’s) along with higher premiums due to the PED’s. If you want to future-proof your medical expenses, the base policy alone will not be enough.
The option you then have is to buy an additional top-up or super top-up policy. Both these policies are based on a clause called a deductible.
As per IRDAI’s guidelines on standardization in health insurance:
Deductible means a cost sharing requirement under a health insurance policy that provides that the insurer will not be liable for a specified rupee amount in case of indemnity policies and for a specified number of days/hours in case of hospital cash policies which will apply before any benefits are payable by the insurer.
When you buy a top-up or super top-up policy you must choose a deductible - the maximum cost you need to bear when making claim.
Assume you are buying this policy with a deductible of ₹500,000 (5L INR). What it means is that the first 5L INR of any eligible claim will first be paid by the insured either through a separate base policy or out-of-pocket.
In case of a top-up the deductible is applicable for each hospitalization, whereas in case of a super top-up the deductible is cumulative for the policy year.
Assuming you already own a base policy and are choosing between a top-up vs super top-up, it’s usually recommended you buy the super top-up.
The higher the deductible that you choose, lower will be the premium for the super top-up policy.
Ideally your super top-up policy should have the same renewal date as your base policy. This ensures that both policies overlap each other 100% and the benefits of having these two policies are maximized.
Super top-up policies are available for sum insured of up to 1 crore with some insurers.
Insurers can offer super top-ups at a cheaper rate compared to base policy. This is because of much lower probability of higher expenses, that’d require you to use your super top-up policy claim options.
Statistically, it's more likely that your hospitalization costs would be within the deductible limit of super top-up policy. Hence, insurers can afford to offer lower premium.
File a return, it is an important piece of paperwork that can come in handy later. Even if you have no tax to pay. It would take 5-10 mins at worst.
Filing an Income Tax Return (ITR), and paying taxes are two different things. A return filing is a declaration. Even if you're not eligible to pay taxes in a particular financial year; we recommend filing a return nonetheless.
An ITR is a piece of document that might need to be used in the event of a loan application, credit card application, or even visa interviews.
In fact, until you review your form 26AS, you won't know if there's an entity out there who's deducted TDS against your PAN. If so, you can claim a refund from IT dept. only via completing a return filing.
There's no harm in filing one, it clears up a lot of things and get those on the record.
These days, there are services like ClearTax, Quiko etc., that would let you file most common type of ITRs for free of cost. You can prepare and submit directly from these apps.
Direct plans of mutual funds have no commission, lower fees compared to its Regular plan counterpart. Returns are higher with no extra risk.
A mutual fund is not free from costs. An asset management company (AMC) is a for-profit entity who aim to make some profit from their venture. They also have to pay their security analysts, operations teams, pay brokerage fees for market participation, and record keeping fees to registrars like CAMS and KFintech, formerly known as Karvy.
A regular plan of a mutual fund has one more additional expense — distributor commission.
There are various types of commissions. In this FAQ, we'll only focus on recurring trail commissions, and ignore upfront one-time commissions.
There are many reasons why regular plans shouldn’t exist.
Erosion of Value
Regular Plans add no value to the portfolio of an investor. All it does is eats away at your portfolio valuation and make the distributor richer.
This cost scales with your portfolio valuation. The more your investments grow in value, the more money is taken out of your investment.
It’s a classic case of tyranny of compounding costs, words made famous by Jack Bogle.
Distributors are Inherently Biased Against the Investor
The distributor which subscribes an investor to a regular plan is inherently biased against an investor because the distributor would recommend funds which have high distributor commissions regardless of whether the fund is actually good for an investor or not.
To prove our point, here’s an example.
This stark difference in the source of AUM should be enough to highlight where the priorities of regular plan distributors lie.
It’s unfair
You might’ve placed a purchase order five years ago in the regular plan of a fund, to purchase some units. This one transaction and subsequent payments, have been lining up pockets of the distributor, every day, for the last five years. And it would continue to do so as long as you have even a single unit in the regular plan of the fund.
Meanwhile, the distributor is not at all involved in the process of managing your portfolio — that’s being handled by the respective AMC.
This payment model of perpetual payment in eternity is rarely ever seen in nature, outside of this one use-case. Imagine visiting a doctor who demands 1% of your income every month in perpetuity till you’re alive.
It’s sneaky
For most mutual fund investors out there, the disadvantages of investing in regular plans are not well understood. Lack of financial knowledge, and fear of complexity have driven a generation of investors to blindly trust their distributors without looking too closely at account statements.
But this charge is so sneaky, there’s no column in most account statements sent by AMCs, that include an entry for the amount that went to your distributor in the last 1M / 1Y / 5Y. Fortunately, your NSDL / CDSL consolidated account statement (CAS) would include this information.
If distributors have faith in their financial advice and planning, they should have no shame in openly sharing with their clients, how much they’ve made blindsiding them. Or, the distributors should send an invoice to said clients. But they don’t, and to hide this daylight robbery, the payment is done by an AMC to the distributor directly, at periodic intervals.
Let’s try to understand, with real world scenarios, exactly how much one can stand to lose investing in regular plans. However, before we get there, let’s discuss what direct plans are.
The only difference between a direct plan and a regular plan of a mutual fund is that direct plans do not have distributor commissions. The word direct must be present in your NSDL / CDSL / AMC account statements if you’re investing in a direct plan of a mutual fund.
Although it may not be straightforward to calculate the difference in returns between a regular plan and a direct plan of a mutual fund from AMC account statements, we can calculate it by simulating the same transactions on the same date in the direct plan of a fund.
Next time, when a distributor tells you to keep your SIPs going, you have to wonder whether it’s because they don’t want to see their income disrupted, which is tied to total portfolio value.
We can use this data to get some insights about the expenses generated by this fund.
In mutual funds, TER is an yearly average expense deduction. It’s deducted everyday before publishing the new NAV of the fund. All returns reported on mutual funds, are after costs have been deducted. There’s no need to subtract TER from final returns or NAV, as it’s been already factored in.
As on 9th April 2021, the direct plan of mutual funds have had more than 8 years of history since they were started back in January 2013.
We are considering some large-cap funds that have mostly stayed true to their large-cap stock selection mandate, i.e., mostly having bluechip stocks in portfolio of the fund. Mirae Asset Large Cap fund has been excluded, as it was operated as a multi-cap fund throughout most of this time period (2013-2018) that’s being considered.
As we can see, in the large cap space, equity mutual funds have mostly performed in-line with the index funds over the last 8 years. Most of them have underperfomed, but some of them have outperformed.
Let’s look at the data presented above from a different perspective. We’ll focus on distributor commissions and their impact on our portfolio.
In the above tables, we’re using the TER data available as on 9th April 2021. TER changes from time to time, and the latest TER differences won’t reveal historical performance.
As you can imagine, no popular distributor was publicly recommending UTI Nifty Index fund’s direct plan, back in 2013-14. This isn’t surprising considering the fact that for a regular plan distributor, recommending UTI Nifty Index fund’s regular plan would’ve been the least profitable.
Unfortunately, investing in the regular plan of a mutual fund is only the beginning. As more and more time passes by, staying invested in the regular plan of a fund will erode your portfolio further.
As Jack Bogle said:
The miracle of compounding returns has been overwhelmed by the tyranny of compounding costs.
The recurring cost model of regular plans can unleash this mythical tyranny right on your portfolio, without you even realizing it.
As you’d imagine, regular plans are a juicy proposition for every participant involved, except for the investor whose capital is being eroded.
An investor might come across some of the following arguments in favor of regular plans. We’ll go ahead and debunk them.
AMCs don’t have a reason to compete on performance, when they can just offer more commissions on their funds. The distributors would then sing praises of such funds over other available options.
AMCs like Mirae Asset, have been artificially reducing the TER of the direct plan of their funds well below that of their competitor fund houses, creating large TER differences between their funds’ direct plan TER and regular plan TER.
This incentivizes distributors to recommend Mirae Asset equity funds over other funds and lures in direct plan investors with unusually low expense ratios. Of course, the unusually low TER of direct plans can simply be increased later once Mirae Asset’s AUM targets are achieved. It’s unfortunate that there are no regulations on frequent TER changes made by AMCs.
As on 9th April 2021, this is how the TERs look like for flagship funds from Mirae Asset AMC:
Of course, Mirae Asset isn’t the only AMC which is doing this. You might come across unsustainably low TERs in direct plans of other AMCs, with reasonably high TER in the regular plan of the same fund.
Regular Plan distributors don’t have to recommend good funds, because if it doesn’t perform well, they could just tell you that the markets were bad this year, keep your SIPs going, and buy at lower prices. Your uninterrupted inflows in regular plans makes the regular plan distributor richer.
To understand how deep this nexus is, take a look at AMFI disclosure reports on commission to distributors, from past years:
The NAV of regular plans is lower because it includes distributor commission and it'll always be lower than the NAV of its direct plan counterpart. In this case, your purchase price doesn't matter. What matters, is the rate of growth after you purchase.
As we just saw, the NAV purchase price and the number of units that you get are irrelevant and do not affect the final portfolio value. The CAGR, however, does, and it should be evident that the CAGR of a direct plan will always be higher than its regular plan counterpart.
Taxes are on realized gains. Commission is on entire corpus.
Just like the largest ant is no match for the smallest elephant, your taxes might be low enough, if any, compared to your potential commission losses over next few years. Even if it’s not, tax is a one-time headache. Commissions are forever, till the date you’ve zero units to your name in that regular plan of a fund.
You could also switch out partially, and not all at once. That’d save you some taxes by spreading your redemptions over more than one financial year.
In a scenario like this, it’s best to compute the potential values for tax liabilities, project losses in commissions, and make a choice on a case-by-case basis.
It's your decision to make but we'd advise you to think rationally about this, and keep your emotions aside when making decisions about your money.
Your distributor may have introduced you to mutual funds but if he signed you up on regular plans, he probably didn't sign you up because he was thinking of your welfare first.
At this point, you have the power to make decisions about your own money and switch to direct plans to save expense costs. You don't even have to find different funds.
If you're not comfortable choosing funds, you can start investing in the direct plans of the same funds offered by your distributor. Even in that case, you'd save on a lot of expenses.
As we saw in the previous section, in the last 8 years, regular plans of large cap funds haven’t been able to achieve for the average SIP investor, what the direct plan of a low-cost Nifty index fund has generated.
Clearly, the so-called financial advice from regular plan distributors hasn’t been good enough to even make-up for the cost.
Investing in direct plans is a risk-free way of improving returns. A good advisor would recommend direct plans to their clients.
Also, when you invest in a mutual fund, the fund manager manages your portfolio. They are responsible for managing the investments in the you’ve invested in and adapt it according to market conditions. Your distributor has no role to play there.
SEBI has already issued notices saying that mutual fund distributors cannot be advisors. A person can either sell or advise but not do both.
Unlike a few years ago, we have many platforms today that offer investment in direct plans to every investor in the country. It has become much easier to invest in direct plans and manage your portfolio these days. One doesn’t need to visit an office, or use clunky AMC websites with bugs and errors.
If you’re wondering which website / app you should use to invest in direct plans, check out the following article.
If you’re wondering which mutual fund should you invest in, check out the following article.
We’d like to mention that choosing a “good” or a “best” fund isn’t important or required. Pick a decent actively managed fund and stick with it unless something fundamental changes about the fund. Or, if you’re still confused, pick an index fund and call it a day. The choice of the fund isn’t as important as sticking to that fund and investing in it in the face of market turbulence.
The real takeaway here is that recurring costs can affect your investment corpus in a really bad way over the long term. As an investor, avoiding regular plans is important. But in the same spirit, we should also avoid other recurring costs as well, which add up over the years, such as (but not limited to):
brokerage commission, in percentage terms (and not fixed), for equity delivery
rebalancing costs
frequent selling leading to capital gains taxes
high asset management fees of exotic products
Unlike regular plans, some of the above aren’t always avoidable. But do keep the adverse effects of costs from repeatedly doing these in mind, when engaging in, say, rebalancing.
Quantum AMC started offering direct plans of their flagship funds, Quantum Liquid and Quantum Long Term Equity, back in 2006. They were the first AMC to do so in India. They chose to not tie up with distributors, but rather offer a direct purchase option to the investors via offline mode (CAMS or KFinTech offices) and on their own website.
Since January 2013, SEBI regulations have forced all AMCs to launch direct plans for each and every mutual fund that they had and would come up with in the future.
If you haven’t done it yet, take a look at your NSDL / CDSL CAS, and see if the word “direct” appears in the name of the funds that you’re invested in. If not, you’re most likely invested in the regular plan variant instead. Ideally, all your funds should be in direct plan mode, and no fund should be in regular plan mode. You might be losing money to a rent-seekers without receiving anything of value in return. If that’s the case, start the process of switching to direct plan today.
You just need to stop the existing SIP, import the CAS statement to the new platform and restart the SIP there under the same folio number
There are 2 ways to hold mutual funds. One in the demat form and another in physical (rematerialized) format. The method of transfer will vary depending on the form that your mutual funds are stored in.
Since the mutual fund are handled by the fund house, you don’t need to ‘transfer the fund’. To see the funds in the platform of your choice, you need to
Stop the SIP if you have any in your existing platform
Go to the platform of your choice and select import folio
You will then be taken to the CAMS / KFintech site where you need to enter the requested details
You will receive a CAS (Consolidated account Statement) in your email shortly
Depending on the platform and the access permission given, you will either have to forward the mail to the mail ID specified by the platform or they will automatically fetch it from your email.
You now can select the existing folio for SIP or lumpsum transaction
Invest in a cost-effective manner. For smaller corpus, it makes sense to invest via India-domiciled mutual funds that invest overseas, while with a larger corpus it could be cheaper to invest directly
Investing in US equity markets can be rewarding, if done for the right reasons, with right expectations.
When it comes to overseas investments; costs are usually the biggest factor to keep in mind. Unlike market returns, costs are in your control, and can be a determining factor in outcome of your investing journey.
There are currently two main ways in which retail Indian investors can invest in US stock market:
Direct Investing: Investing via a platform or broker, which allows one to direct buy US stocks, ETFs, and other securities directly.
Indirect Investing: Investing in India-domiciled mutual funds, FoFs (Fund of Fund - a mutual fund investing in another mutual fund), or ETFs (Exchange Traded Fund) which invest in US companies’ stocks.
If one is investing in smaller amounts (or SIPs) of less than ₹2L or so at a time, India-domiciled mutual funds are the more efficient choice due to lower costs (as low as 0.49% TER currently) and a simpler tax compliance process.
There are India-domiciled US index funds available to retail Indian investors at reasonable low costs.
There are also actively managed funds starting at a sightly higher (but still pretty reasonable) TER; that offer exposures in US equity markets.
But if one were to try and invest directly, one would run into a few challenges. At present, the international fund transfer process is cumbersome and expensive. Mainly because:
Banks typically charge ₹500 - ₹1500 for every single international fund transfer.
There is another 1% in currency spread / forex costs on the transaction, that's incurred for every transfer.
There is an LRS form (called the A2 form) that needs to be physically submitted and presented to the bank for international transfers for the purpose of investing. Some banks might pick up this document from your place, or allow an online submission, but it can take up to two weeks for the funds to show up in your international trading account. Which means two weeks of opportunity and interest cost.
The same costs and time, when withdrawing the funds back to Indian bank accounts; effectively doubling all above costs.
As a result of the above fees and taxes, average retail investors might lose up to 5% of their capital even before they’ve bought a single stock.
Because of the cumbersome and expensive fund transfer process and additional tax compliance, it is recommended that for now, Indian retail investors should prefer India-domiciled mutual funds and ETFs for investing in the US.
One's fees will vary depending on the bank or service one uses, and tends to get more reasonable as a fraction of total investments the larger one’s investment amount is. As an illustration one can refer to the below table ($1 = ₹72.5):
Remittance charges may vary from bank to bank. For simplicity, we’ve used the average of present remittance charges across HDFC, ICICI, and SBI. You may notice a slight difference depending on which bank you use.
The above table doesn't consider the forex conversion spread, which can be estimated as 1%.
A conversion spread means you get to buy USD from bank, at higher price than it's worth, and sell to bank at lower price, than it's worth at that time.
On the other hand, as you invest and accumulate larger and larger corpus; the proportional cost model (i.e., where you get charged a percentage of your asset size) becomes costlier.
For instance, if you're investing ₹50,00,000 (50 Lakhs INR), an effective expense ratio of 1.5% would eat away ~₹75,000 (75k INR), every year. At that corpus size, it might be cheaper to actually invest directly into a US ETF (domiciled in IRE / LUX), and incur compliance costs.
There are broadly, two types of platforms providing US investing services to Indians:
An Indian brokerage or platform, having a tie-up with an international or US based-brokerage like Drivewealth or Saxo.
An international brokerage.
The international brokerages generally require a minimum account value (total value of investments held with that broker - similar to minimum relationship value used by banks) and charge higher brokerage.
On the other hand, Indian platforms generally don’t require a minimum account value and generally have lower brokerage charges (some even offer zero brokerage).
Some of the common platforms are:
Aspects such as fees/charges, features and range of stocks available for investment vary from broker to broker and keeps changing over time.
When you invest in the US stock market directly, there are two types of taxation events:
Taxes on investment gains: You will be taxed in India for this gain. Taxes will not be withheld in the US. The amount of taxes you have to pay in India depends on how long you hold the investment. The threshold for long-term capital gain is 24 months, with the rate of 20% with indexation benefit. If you sell a stock in less than 24 months, capital gains are considered short-term and are taxed according to your income tax slab.
Taxes on dividends: Unlike investment gains, dividends will be taxed in the US, at a flat rate of 25%. Fortunately, the US and India have a DTAA (Double Taxation Avoidance Agreement) which allows taxpayers to offset income tax already paid in the US. However, availing proof and paperwork for DTAA is not straight-forward. The 25% tax you already paid in the US is made available as FTC (Foreign Tax Credit) and can be used to offset your income tax payable in India.
India-domiciled mutual funds and ETFs holding more than 35% of their overall portfolio in foreign stocks are taxed similar to debt mutual funds and provide indexation benefits on long term capital gains after three years.
If held for less than 3 years, gains are added to your overall income and taxed at your income tax slab rate. If held for more than three years, gains are taxed at a flat rate of 20% after indexation.
While Indian equity funds have an advantage over international equity funds when it comes to taxation, taxation shouldn’t be the most important criteria if one is investing for long term and one is investing according to one’s asset allocation.
Also, one must keep in mind that tax rules can change over time.
Investments in US equities must be made in USD. One has to first wire (remit) USD to one’s broker’s partner bank in the US to fund one’s account. In order to do this, the investor must fill out an LRS form (called the A2 form) and submit it to their own bank.
On placing a withdrawal request, the money should be wired directly to your bank account in India. It may take 3 to 5 business days for the wire to come through.
The Indian securities market regulator SEBI doesn’t have any effective oversight of these entities.
Hence, as a cursory check, investors should verify that the brokerage they are investing through is registered with the SEC, FINRA and SIPC which are the primary US regulatory bodies.
It is advisable for Indian investors to also go through the prospectus, factsheet or other such scheme documents of the underlying fund to get a better idea of any hidden fees and charges.
US equities give diversification and exposure to global growth in the most stable currency. Invest in US equities, if you can find a cost-effective way to do it.
As an Indian equity investor, there are plenty of reasons for you to invest in the US equity markets. Equally, there are good reasons why one should avoid investing in US markets, if they are already exposed to Indian equity.
Diversification is an important part of an investment journey. It helps one reduce volatility and risk of their portfolio, especially at larger portfolio sizes.
As portfolios get bigger over time, drawdowns can also be larger in absolute terms. When your portfolio has ~₹100,000 (1L) in valuation, a 1% drop is a nominal loss of ₹1,000. At ₹1,00,00,000 (1 Cr.), same 1% drop is a 1L nominal loss. As portfolios grow with time, many investors seek to reduce day-to-day volatility and large drawdowns.
Investing in overseas or foreign equity can provide some geographic diversification.
The rationale for diversification is clear — domestic equities tend to be more exposed to the narrower economic and market forces of their home market, while stocks outside an investor’s home market tend to offer exposure to a wider array of economic and market forces.
In other words, unless there's a big global driver, most of the times, India and US equities won't move up and down, won't move up and down, in same direction nor necessarily with the same pace, simultaneously. Hence moderating the swings based on percentage allocations one takes in US equities.
US equity markets are the largest equities markets in the world. As an investor looking to build long term wealth with equities, over decades, you should have some exposure to largest equity market in the world.
As of 2018, U.S. equities accounted for ~44% of the global equity market, far greater than the next largest market China (~9%). Indian market capitalization was only ~3% of the global market.
Why is size important?
Due to its vast size, most of the retail and institutional investors all over world, would always be chasing US equities, and be willing to take position in this. Its size makes it so that it remains efficient, and provide cues to other markets globally.
Being the biggest market it also attracts companies from around the world to be listed here as getting investing capital is easier in this market. Eg: Spotify (NYSE: SPOT), Makemytrip (NASDAQ: MMYT), Alibaba (NYSE: BABA)
The liquidity and quality of top US stocks are simply unmatched anywhere else in the world.
Just buying different stocks (or other assets) alone, won't automatically result in diversification benefits. The assets into which one is diversifying should have low price correlation with the assets already present in one’s portfolio. Price correlation measures how closely the prices of two different assets are related.
Price correlation can either be positive or negative - the closer to zero, the better. A high positive correlation (approaching 1.0
) means that the asset prices move in tandem, offering diversification in name only, while a high negative correlation (approaching -1.0
) would mean that the investments' price movements will virtually cancel each other out, defeating the purpose of investing.
For example, large-cap Indian equity mutual funds will usually have a high positive correlation with the Nifty 50 index; because many of the stocks held by these funds would be from the Nifty 50 space.
As seen in the table below, US markets have historically, had low price correlation with Indian markets
This table based on data provided by Bloomberg, considering prices of these indices between Feb 2005 and Feb 2020.
Nifty 50, Nifty 500 are Indian equities index benchmarks. We use TRI (Total Return Index) to account for dividends.
NASDAQ 100 and S&P 500 are popular US equity indices. Here we also use TRI, converted to Indian currency (INR).
As expected, Indian equity and US equity benchmarks have close to 1 as correlation co-efficient among themselves. But any time an Indian equity benchmark is compared with a US equity index, or vice versa, the price correlations are drastically lower.
Some of the biggest and most famous brands and companies are listed in the US.
Think Apple (NASDAQ: AAPL), Microsoft (NASDAQ: MSFT), Google (NASDAQ: GOOGL), Amazon (NASDAQ: AMZN), Facebook (NASDAQ: FB), Tesla (NASDAQ: TSLA), and many other similar ones.
Most of these companies are also MNCs (Multi National Corporation) and have internationally diversified businesses and revenue streams.
In that sense, taking exposure to US equities can be viewed as getting access to equities growth of companies with global revenue and user-base.
Foreign investments are subject to currency risks. If you're an Indian resident, your investments would be valued in INR (Indian Rupee). And not in USD (US Dollar).
If INR appreciates against USD, then your US investments would lose its market value, and show up as a loss in your portfolio.
Opposite is also true (that's how risk works!) - if INR depreciates against USD, then your foreign holdings become more valuable, as it's priced in INR.
Forex movements would affect your portfolio. In addition to market risks that come with every equity investments, you'd also be assuming one extra risk which would impact your portfolio.
US taxation rules are different from Indian taxation rules.
Depending on how exactly you've been taking exposure to US equity markets, you could be on the hook for various legal and tax-related compliance and reporting.
That adds cost of management (e.g. you having to take the extra time and effort to understand US taxation), and compliance cost (e.g. foreign holdings requiring filing ITR-2 every year during tax filing seasons).
In addition to that, there might be forex exchange costs, remittance costs etc. that'd eat into your portfolio.
Often, investors wrongly assume that investing in US equities would mean higher than Nifty returns.
In reality, diversification works both ways. It's a trade-off.
For example, in 2018 December, US markets dropped in a big way over a period of just last two weeks of the year. S&P 500 was down nearly 20%.
Indian equities were not as affected, over same time-period.
But if someone had wrong expectations of US equities always doing better than Indian equities, and invested on the basis of that; they'd have learned a tough lesson the hard way.
Similarly, towards the end of 2020 and beginning of 2021, Nifty outperformed S&P500 over a period of 3-6 months.
In summary, there'd be periods of underperformance and outperformance from US equities, compared to Indian equities. As an investor, you shouldn't assume US equities always do better than Indian equities.
There are great reasons to invest in US equity. It adds much needed geographic diversification to your portfolio, and gives you exposure to equities that reflect global revenue and economic growths, in a stable currency that's recognized all over the world.
If you can take cost-effective positions in US equities, and have well-tuned expectations; you should go for it.
Pick a discount broker you're comfortable with, as per your investment style and functionality requirements
In India, there are plenty of small and big brokerage platforms available to you, that let you open trading and demat accounts for equity, bonds, ETFs (Exchange Traded Fund), commodities etc.
Read this to get an overview of features / functionality of popular brokerage services, and the costs you'd be incurring if you were to go with one of these.
Broadly speaking, there are two types of brokerage services in India at present:
Discount Broker
Full Service Broker
These are the traditional stock brokers, most commonly sharing a parent corporation with a big bank, which offer more than just buy / sell / hold functionalities. To name a few add-on services, for instance, most full service brokers provide:
Brokerage reports and analysis
Stock advisory
Portfolio management / wealth management services etc.
Typically, these platforms have both online and offline presence to serve you.
Axis Direct, Citibank Securities, HDFC Securities, ICICI Direct, Kotak Securities, Motilal Oswal Financial services, SBI Securities etc. are examples of full service brokers.
A tell-tale sign of a full service broker, is that they charge a percentage of your investment as brokerage fee, which means costs scale with investment amount.
After the penetration of internet, it became less and less necessary to have a physical location to cater to the customers' needs.
So with reduced staff by not having physical customer service locations, discount brokers are offering the trade with discounted rate.
They also don't provide the research / advisory services, portfolio or wealth management services etc. to keep the operational costs low.
As a result, they can afford to charge lower trading fees. Most discount brokers have zero fee on equity delivery trades, and close-to fixed fee for intraday trading / BTST etc.
One also needs to keep in mind economics at scale. By offering lower costs, these services are reducing barrier to entry. That means larger number of users, and higher trade volumes. Even if per trade costs are lower, it has the potential to help these discount brokers pocket higher revenue than some of the full service brokers.
Such businesses want the volume, and while they operate on lower revenue margins per trade (not to confuse with margin provided by a broker) compared to a full service brokerage; they make bank on volume.
A few popular ones are listed below, in alphabetical order.
The following table is a comparison-at-a-glance for these discount brokers. The information presented in this table maybe out of date at any moment in time. We'll do our best to update this table whenever we come across new information.
*Add-on pack: Some platforms offer subscriptions plans which will enable to advanced users to get more features, reports, reduced trade fee etc. for a monthly fee.
*Number of accounts: It's indicative of trust, as larger user-base might mean more audits & compliance requirements. These numbers change everyday, so exact value is not that important. By the time you're reading it, most likely exact number of accounts on each of these platforms could be higher than what you see in the table above.
The above table compares some popular discount service brokers, in terms of the following parameters:
What are the aspects the platform make easy for you (USP)
What are the factors the platform make harder / costlier for you
Fees / charges on various types of trades
Funds credit options to trading account, and time it takes to credit the amount
Approximate number of accounts on the platform, as reported, at the time of writing this
Selecting a brokerage service might require some care. Unlike picking a mutual fund app, it's not that easy to migrate between brokers. This is not an easily reversible decision.
Some brokerages make it so easy to trade, that you might end up placing too many orders, and lose big on brokerage fees.
Most brokers ideally provide a cost calculator to get an estimate of various fees & charges that might show up against your account, for the volume of trades you'd want to execute.
We highly recommend being careful with F&O, intraday trading and BTST trades. Ideally, as a retail investor, if you're looking to buy for long term, most discount brokers are quite cost effective.
An important aspect to understand, is your broker has lot of control over your holdings; unlike your mutual fund app.
For instance, the Karvy brokerage scandal of 2019-20, exposed how even full service brokers can exploit dormant holdings, keeping those shares as collateral for their other business arms to get loans.
It's of paramount importance that you evaluate a brokerage service on these two parameters:
Does the brokerage house have a history of lending out shares, to arrange for some liquidity?
Does the brokerage platform have enough retail accounts, that they'd be subject to more audits and compliance?
This is why it's important to go with a broker that has been around for past few years, have healthy financials of their own, and have good volume. On that front, Zerodha comes out ahead of other brokers covered above.
It doesn't just end at choosing a broker with decent fees and nice UI / UX. You've to keep track of your holdings outside of the brokerage app. Check your monthly CDSL or NSDL CAS, to confirm your holdings are as shown in the portfolio section of your broker's app.
As per SEBI stipulation of BSDA (Basic Service Demat Account), there will not be any annual maintenance charges if your portfolio value is less than ₹50,000. However, if it is greater than ₹50,000 but less than ₹2,00,000, a charge of ₹100 will be levied. If the portfolio value exceeds ₹2,00,000, charges will be levied as applicable to a regular non-BSDA demat account.
Yes, you should. Employer provided group policy might have lower cover, or co-pay, or a cap on room-rent. You should get one on your own, to decouple your insurance from your employer
According to IRDA (Insurance Regulatory & Development Authority) of India
A group insurance policy gives you advantages of standardized coverage and very competitive premium rates
The risk for a group insurance provider is spread over a larger population, hence making the premiums cheaper.
Group covers have lot of benefits.
Salient features of Group health insurance:
PED’s (pre-existing diseases) are generally included from day one, with some exclusions.
An option to increase Sum Insured (SI) as well as insure your parents/in-laws by paying an additional premium.
TPA (Third Party Administrators) services are comparatively better in group insurance schemes due to higher absolute premiums paid by the group.
You can port to another policy of the same insurer, to avoid having to wait out the exclusion periods for pre-existing conditions.
However, you’ll have to start the porting process at least 30 days before you leave the organization, and the new policy will provide fewer benefits, as it’d no longer be a group policy.
Limitations of Group health insurance are as follows:
Sum assured is generally lower than Individual or Family floater policy options.
Due to the lower sum assured, they may have a room rent/ICU capping clause.You will end up paying more if your stay is in a more expensive room, since all major hospital expenses are linked to the room rent.
Imagine if your medical bill is 2L, and room-rent cap in the group policy is 8k / night; but your actual rent for room in the hospital was 10k / night. Then all your bills would be scaled down by a factor of 0.8, by insurer, and not just the room rent.
Out of 2L, insurer would at most pay 1.6L (= 2L x 0.8).
Group policies could have a co-pay clause. Even if they don’t have it this year for your policy, they might next year when policy is renewed. It's common in most firms, or corporates, to negotiate for better rates with new insurers, every year. TPA for the insurance remains same, but actual underlying insurer changes frequently. New insurers come in with new clauses.
The coverage of the group policy ends immediately, if the employee resigns or is terminated. You and your family will be without coverage in the transition period between jobs.
Group health insurance is adequate when you’re starting out in your career, do not have dependents, and are relatively healthy (confirmed by an annual health check) or less likely to fall ill.
You can have two options here:
Continue with the group cover alone, hoping that you won’t need additional health insurance in the near future.
Buy an additional individual/family floater plan, in personal capacity
Biggest risk in depending solely on the group cover, is that any illnesses that you or your family members later develop could result in a significantly higher premium for a floater plan or an insurer declining to underwrite your policy.
If you have an additional individual/family floater policy:
You can use the group cover for minor hospitalizations.
After 3-4 years, the waiting period for any pre-existing illnesses would be over and subsequent hospitalizations due to these PED’s will be covered in your personal Individual / Family floater plan.
You and your family will have a health cover if you decide to take a sabbatical or during a transition period in-between jobs.
You can also buy a super top-up plan using the floater plan sum insured as a deductible.
Step-by-step detailed guide on how to update nominees in your mutual fund investments, or securities holdings in Demat account, or even across your bank accounts.
Let us first begin with what nomination means.
According to AMFI (Association of Mutual Funds in India):
Nomination is a facility that enables an individual unit-holder (including sole proprietor of sole proprietary concern) to nominate a person, who can claim the units held by the unit-holder or the redemption proceeds thereof in the event of death the unit-holder.
In short, nominees do not inherit the assets after the death of the unit holders. They are responsible for distributing the assets, as per the will, or to the legal heir of said unit-holder.
Nominees are usually added to a mutual fund folio at the time of its creation; but it can also be added or altered at a later phase.
There are various ways to go about updating nominee details in mutual fund folios.
💡If you don't have an MFUtility account, this convenience alone is worth it to sign up for one.
You'd need to fill out a nominee update form, which can be found below
Investor needs to print the form, duly fill it as instructed, and then can do one of the following:
Send it to MFUtility head office at Thane, Maharashtra; via registered post. Address is mentioned at the bottom of the form.
Visit a CAMS or KFinTech office in your city, and submit the form there.
This will update the nominees for all the mutual funds folios, mapped with the Common Account Number(CAN). Benefit of this process is to use one single form, and update all nominees, across all folios with all mutual fund houses, that have been mapped to the CAN.
Another way to update nominee details is to visit the nearest office of the AMC, or the nearest Registrar and Transfer Agents (RTA) office. RTAs are responsible for managing the records of investor folios, for the AMCs.
There are predominantly two RTAs these days — CAMS and KFinTech,;and together they serve all the AMCs (except Franklin, which is served by FTAMIL presently, though they plan on moving to one of the two major RTAs).
You can find the RTA responsible for a particular AMC, by checking these links below:
Investors can download the nominee update form from the website of the AMCs or download a generic form, from the RTA’s website.
Disadvantage of using this method - investors need to fill a separate form for every AMC in which they want to update the nominee details, and submit the form physically at the nearest center. In some cases, one might even need to fill out one form for each folio.
Or, with the RTA forms, one would need to find out which RTA their AMC is using for record-keeping, and pick specific form.
Above links, to nomination forms on websites of RTAs and MFUtility , may change in the future. Always download latest versions of these forms from the official website of the entities as mentioned.
⚠️This is not applicable for all AMCs.
Some AMCs (like DSP Mutual Fund, at the time of writing this) allow investors to update nominee from their investor portal.
Just log on the portal and visit the folio section, and you will find nominee details.
Plenty of us invest through third party platforms, in mutual funds - Coin, Groww, Kuvera, PayTM Money, INDMoney, FundsIndia, ScripBox, Wealthy.in, ICICI Direct, HDFC Securities etc.
In such cases, it'd be instructive to follow up with respective platform's service team. They'd be able to guide you better with respect to nominee update process, specific to their platform.
For the mutual funds units that are held in demat (for instance, Zerodha Coin or HDFC Securities), nominee(s) will be same as the nominee(s) for the trading and demat account.
If the investor updates the nominee for their demat account, the nominee will be updated for all the folios held in the demat account with the respective broker.
Steps to update the nominee for trading and demat account is similar for all the brokers.
Investors can, and should, directly contact their broker’s support teams for the exact process for updating nomination.
Generally, the first step is to download and print the nomination form from the website of the broker.
Copy the text and replace “Name of broker” with the name of your broker.
"Name of Broker" AND "Nomination"
For e.g. if the investor wants to update the nominee for demat account with HDFC Securities then they can search for:
“HDFC Securities” AND “Nomination”
Visit the link that is from the website of the broker and the form will be available on the page.
Once the form has been duly filled, investor can send the nomination form with an attested proof of identity, to the registered office of the broker.
For brokers with pan-India presence, investors can also submit the form to the nearest office. These are usually traditional brokers like ICICI Direct, HDFC Securities etc.
Some brokers charge a service fee for updating nomination. For e.g. Zerodha charges ₹25+18% GST, at the time of writing.
To update nominee in a bank account, usually you've to visit the local branch with identity proof, close to your residence, for that bank.
However, some banks these days, do allow updating these details via their app / web portal. It's best to contact email or call or chat support of your bank, or just checking their website once, before physically visiting a branch to update nominee(s).
Other than this, you can also use official IT , to file your ITR. While the UX of portal is not exactly a match for the other two services mentioned earlier; it already pre-populates data from 26AS and other sources in your ITR, so you're less likely to file returns with wrong values.
As of February 2021, Mirae Asset Tax Saver had a total expense ratio (TER) of for its regular plan and for its direct plan. That’s a difference of between the regular plan and the direct plan of the same fund. On the other hand, UTI Nifty Index had a total TER of for its regular plan and for its direct plan.
The assets under management (AUM) distribution of these two funds is interesting. Mirae Asset Tax Saver had AUM of crores out of which AUM is from the direct plan and the rest is from its regular plan. Meanwhile, UTI Nifty Index had a total AUM of crores but had of its AUM from its direct plan.
We’ve got the data about AUM distribution from link on page. You’ll need to search for similar links on other AMC websites.
As of 9th April 2021, the 5 year return (CAGR) of Axis Long Term Equity Direct Growth Plan stands at and that of the regular plan is . Let’s assume an initial investment of lakh on 9th April 2016.
The distributor of this plan has made approximately of the original investment as commission in the last 5 years. And 5 years is a small time period in equity markets. Of course, this commission will only increase with time. However, this cost could’ve been easily avoided, just by investing in the direct plan of the same fund, 5 years ago.
One might say that the commission looks high only because the returns are high enough to more than double the original investment. After all, annualized returns over 5 year periods aren’t common.
Keeping this in mind, let’s take a different fund with a lower 5Y CAGR, where we do the same comparison, and see if losses to commission really goes down with the returns. As of 9th April 2021, the 5 year return (CAGR) of Tata Large Cap Direct Growth Plan stands at and that of the regular plan is .
Although the returns and nominal profit of the investor have been reduced by a lot, the distributor commission has increased! In this case, it’s approximately of original investment, eroded over 5 years. Your distributor would make bank, whether your returns are higher or lower. They’d make even more, if your portfolio does well.
Let’s consider Kotak Standard Flexi Cap, one of the largest (in terms of AUM) equity mutual fund in India with an average AUM of crore at the end of March 2021. Its direct plan had a TER of and the regular plan had a TER of . From the average AUM disclosure provided by Kotak AMC for the month of March 2021, we know that Kotak Standard Flexi Cap had crores from its regular plan and crores from its direct plan.
Kotak AMC gets to keep crores from both the regular and direct plan. Since distributors get on the regular plan, their commission comes out to be crores.
In a mutual fund with over crores in AUM, of its AUM comes from regular plans and mutual fund distributors end up taking away more expense income than the AMC of the fund itself even though the fund manager does the job of managing the mutual fund portfolio while your distributor does nothing except earn commissions and help the AMC inflate its AUM.
We’ve got the data about AUM distribution from link on page.
We’ll simulate a SIP of per month, in the direct and regular plan of some funds, starting from 2nd January 2013.
We have generated this data using the ‘My Investment’ tool from .
Besides SBI Bluechip’s regular plan, no large-cap fund from our list has managed to generate higher corpus in its regular plan than UTI Nifty Index fund direct growth plan has done over the last 8+ years for a simple / month SIP.
We saw earlier that the difference in TER difference between the direct and regular plan of a mutual fund, or , can be thought of as an indicator of regular plan’s distribution costs.
Let’s assume that investing a lumpsum amount of in an asset generates a CAGR of . This asset also has a regular plan variant which generates a CAGR of . At lower CAGR, this is how the valuation would change over time.
If the difference in CAGR is assumed to be , this is how the corpus changes.
Eventually, an investor could end up losing of their portfolio to distributor commissions over a long period of time.
From our previous calculations, it should be clear that additional expenses would erode the corpus of an investor significantly in the long run.
If that person really did have your best interests at heart, he wouldn’t recommend funds with a high . If he’s doing that, he has his own interests on greater priority than yours. This wouldn’t be a problem in some other case but here, it’s about your money, not his.
Let’s start with the latest report, from 2019-20. It’s a PDF that lists the names of distributors and the gross amount paid in multiples of .
As expected, big banks like HDFC, ICICI, Kotak, and SBI are easily making hundreds of crores, just from rent-seeking and not adding any meaningful value to the portfolio of investors. However, relatively small distributors have been doing great as well. Based on that list, it’s not unusual to make over crore (a pretty large milestone in annual income for most Indians) by selling regular plans of mutual funds.
Let's consider the NAV of Axis Long Term Equity as on 12th April 2021. It was for the regular plan and for the direct plan. If we invest in the regular plan, we'll get units in the regular plan, and units in the direct plan. Let's assume that we get CAGR after 5 years in the regular plan and CAGR in the direct plan. The final portfolio value of the regular plan would be and that of the direct plan would be .
As we’ve already shown above, a of can erode more than of your portfolio value over the long term. Even , let alone , is a significant loss to your portfolio. Are you okay with losing lakh from your corpus of crore and end up having lakhs? How about losing lakhs?
Would you rather be grateful to your distributor for the rest of your investing journey and lose up to of your corpus in the long term, or switch to direct plans and not lose that money?
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However, despite the ease of access, most retail and HNI (High Net-worth Individual) investors still invest in regular plans. This is evident by the fact that most of the mutual fund industry AUM is still in regular plans, and not direct plans. ( | ), only of the industry AUM is in direct plans, while rest of it are in regular plans.
PayTM Money maintains listing difference in TER between direct plan and regular plan of mutual funds.
Please follow the steps mentioned in since transferring of Mutual fund in demat form is done in the same way.
If you want to convert your existing mutual fund from regular to direct, refer
For instance, the (| ), is available at a relatively reasonable TER (Total Expense Ratio) of 0.49% (as of 25 March 2021).
See this ( | ) outlining the pain points for Indian investors investing in US stocks or ETFs directly.
In additional to the fund transfer process, there’s also the additional overhead of higher tax compliance when it comes to investing directly. For instance, one has to while filing one’s ITR.
(US-headquartered Indian platform)
(Indian platform)
(Indian platform)
(Indian platform)
(Indian brokerage)
(Indian brokerage)
(International brokerage)
(International brokerage)
For more reading, one can refer to the following ( | ) for a recent discussion on some of the popular options.
Under the RBI’s LRS (Liberalized Remittance Scheme), resident Indians can invest up to USD 250,000 (~₹1.8 Cr. based on $1=₹72.5) per FY (Financial Year) for any permitted current or capital account transaction or a combination of both. |
If you opt for the indirect option, some of these funds might be fund of funds. ie, the India-based MF simply buys units of another fund investing in the US markets (called the underlying fund). For instance, the Franklin India Feeder - Franklin U.S. Opportunities Fund invests in the Franklin U.S. Opportunities Fund, Class I (Acc) fund which is an international fund investing in US stocks and run by Franklin Templeton in multiple countries. Investors should note that the Total Expense Ratio (TER) shown in the factsheet of such funds usually only includes the TER of the FoF/feeder fund. The underlying fund would also have its own fees (e.g., management fees, etc). The actual expense incurred by investors will also include this and will usually be the sum of both these, i.e. Effective TER = TER of the FoF + total fees of the underlying fund To illustrate, let us look at the Franklin India Feeder - Franklin U.S. Opportunities Fund. As of 29 January 2021, its ( | ) mentions its expense ratio as 0.61%
for the direct plan. But we also see that the underlying fund’s ( | ) mentions a management fee of 0.70%
. So for an investor, as on 29 January 2021, the total expense charged would be at least: 0.61 + 0.70 = 1.31%
The easiest and fastest way to update nomination for all mutual fund folios, across fund houses (AMCs) is to update the same via .
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For CAMS, . If the AMCs you invest with are using KFinTech, then .
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₹10,000
₹600
₹9,400
₹2500
₹6,900
-31%
₹50,000
₹750
₹49,250
₹2500
₹46,750
-6.5%
₹1,00,000
₹900
₹99,100
₹2500
₹96,600
-3.4%
₹5,00,000
₹1,250
₹4,98,750
₹2500
₹4,96,250
-0.75%
₹10,00,000
₹1,700
₹9,98,300
₹2500
₹9,95,800
-0.42%
Good For
Various trading plan from basic to intra trader pack to cater different customer segments & charges
Single platform for Stocks, direct mutual fund and other asset class investments
Lowest trading charges
Fastest trading platform (15 Seconds)
Technical Analysis & Integration with ‘Quant’- for behaviour analysis & fundamental analysis
Bad For
User interface is difficult to navigate especially for beginners
No option to currently trade in derivatives (futures & options), commodity, and currency segment.
No NRI Trading
No Good Till Triggered (GTT) or Good Till Cancel (GTC) orders
Frequent delays and downtime during high traffic hours
IPO application Possible?
Yes
Yes
Yes
Yes
Yes
Invest in US market
Yes
Yes
No
Yes
No
Add-on Pack available?*
Yes
No
No
Yes
No
Demat Annual Charges
300 Rs.
Free
300 Rs.
300 Rs.
300 Rs.
Equity Delivery Charges
20 Rs./Order
Rs. 20 or 0.05%/Order (whichever is lower)
Free
Free
Free
Equity Intraday Charges
20 Rs./Order
Rs. 20 or 0.05%/Order (whichever is lower)
Rs. 10 or 0.05%/Order (whichever is lower)
Rs. 20 or 0.05%/Order (whichever is lower)
Rs. 20 or 0.03%/Order (whichever is lower)
Equity Futures
20 Rs./Order
NA
Rs. 10/Order
Rs. 20 or 0.05%/Order (whichever is lower)
Rs. 20 or 0.03%/Order (whichever is lower)
Equity Options
20 Rs./Order
NA
Rs. 10/Order
Rs. 20 / Order
Rs. 20 or 0.03%/Order (whichever is lower)
Fund Transfer Options
-
-
-
-
-
UPI Transfer Time / Fees
NA
Immediate / Free
Immediate / Free
Immediate / Free
Immediate / Free
Instant Payment Gateway Time / Charges
NA
Immediate via Net banking / Free
Immediate via Net banking & Debit Card / Free
22 banks / 7Rs+tax
25 banks / 9Rs+tax
NEFT / RTGS Time / Fees
2-10Hrs / Free
NA
NA
2-10 Hours / Free
2-10 Hours / Free
IMPS Time / Feed
10 Min. / Free
NA
NA
NA
10 Min. / Free
Cheque Time / Fees
NA
NA
NA
3-5 Days (250Rs+tax- For dishonored margin cheque)
3-5 Days / 350Rs+tax
Number of accounts
0.25 Million
1 Million
6 million
2 million
4 million
User Experience (UX) and User Interface (UI)
Imposes outdated password length restrictions, doesn't have proper 2FA on their website
If your email ID is linked to the folio, you need to login to the portal of the fund house and select the switch option. If not, you will have to visit the office of the fund house
If you know which mutual fund you want, it is always better to buy a direct mutual fund since it eliminates the commission deducted by AMCs as fees for distributors (the person or entity who had facilitated the transaction(s) for you to invest in the fund).
The difference between TER of regular and direct plan normally varies between 0.5% to 1.5%.
Switching a mutual fund is just two transactions of selling a fund (the regular plan), and buying another fund (the direct plan) from same AMC in a single order. Because of this, you will attract either STCG (Short term Capital Gains Tax) or LTCG (Long term Capital Gains Tax). You may also attract exit load if applicable and TDS for NRIs
Since the LTCG is lower, it would be better to convert the mutual fund units which are eligible for LTCG as and when the mutual fund units become eligible for it. Platforms like Paytm Money, Groww, INDMoney, Kuvera (with their tradesmart feature) etc. are offering this feature along with the option to convert just those units to direct mode if you need. You may opt for STP (Systematic Transfer Plan) to convert the required unit in a fixed frequency if you need.
There are two modes by which you will be able to perform the switch
Online Mode
Physical Mode
This is the easiest method for switching a fund.
Login to the fund house or Mutual fund platform website (Create account if you don't have)
Select the fund you need to switch
Stop the existing SIP (if you don't, the SIP in regular fund will continue to get processed)
After selection, you will be presented with options like switch, redeem etc.
Select switch and then select the fund to which you would like to switch
Then select whether you would like to do switch for full investment or partial.
Once you do the authorization by means like OTP after this, you will get a confirmation that the fund is under process for switching.
If you have an old fund where the email ID is not updated, then this is the only option for you.
Go to the office of the fund house and ask for the form to do the switching
You will be receiving a communication from them once the fund is switched
If the fund house doesn't have that facility offline, ask for form to redeem the fund. Once the fund is redeemed and the amount credited to your account, invest via offline by filling the purchase form or online
For any schemes having lock-in period like ELSS fund, switching can happen only after the period. You may use STP for this.
Closed system, where someone's gain is another person's loss. Does not scale with corpus size. Has little to no regulatory oversight. Stay away. Also called as chit, kitty, chitty, kuri, etc.
It is a savings plus credit / loan product. There is an organizer (a.k.a foreman) and there are a specified number of members, who agree to pool/pay/deposit a specified amount of money periodically for a pre-decided fixed duration.
E.g. there can be a chit fund with 20 members (and a separate 21st organizer who conducts the whole show), and they agree to pool Rs 1000 every month for 20 months. So, a fixed number of members, periodic deposit monthly, deposit amount of rs 1000 and fixed total period of 20 months. In the first month, the total amount of deposit would be 20,000.
This total monthly amount is called the Pot/Prize/Kitty. Each member, either by lot or by auction, will be entitled to this prize/Pot amount. The lowest bidder (one who demands the least amount) will get the money after paying the organizer fees and rest of the money will be distributed among the members. The lowest bid can be up to a discount of 40%. The distribution is usually by way of decreasing the monthly amount.
Eg. if selection is by auction, and there are only two members (A and B) who want money in this month, then they can bid for anything less than 20,000. If A says he is ready to take the pot for 19k (he will leave 1000 for the rest of pool provided he gets the money right now) and B says he is ready to take the pot for 18k, the winner of the first month will be B. The foreman will deduct the organizer money (maximum of 5%, in this case 5% of 18,000 = 900) and give 17,100 to B. The remaining amount of 2,000 will be distributed equally among the 20 members, by way of this month's monthly instalment of 900 (and not 1000). In this case, the lowest allowable bid would be 40% lesser which would be 12,000.
Every month the same process goes on. Members who have taken the Pot in the previous months cannot bid again during rest of the chit fund period. And every month, depending upon the amount of final lowest bid, the monthly instalment gets decreased.
If there is no one to auction in any month, then a lucky draw is done and the entire pot, after deduction the foreman fees, is given to that member.
There is a central govt Chit Fund Act 1982 and multiple state government chit fund acts, which govern the organized chit funds. Nowadays, there are online chit funds also with different prize groups and ability to pay/receive payments online.
And there are lot of local chits/kitties/committees, which have their own particular models of deposits and withdrawal systems.
The dividend income earned per month is neither tax deductible nor taxable. No TDS applies on them.
The overall income is taxable as income from other sources.
The overall loss can be claimed as business loss.
E.g. if a member receives Rs. 22,000 instead of Rs. 20,000, then Rs. 2,000 would be taxable as Income from other sources.
While if a member receives Rs. 18,000 instead of Rs. 20,000, then the difference of Rs. 2,000 can be claimed as a business loss.
Those members who are in need of money (for small business, marriage, construction of house, big expense, etc ) can bid for the Pot in the initial months and use that money for their own purposes. Effectively, it works as an advance loan for them with EMI-like payments in the later months.
While those members who are not in need of money prefer to take the pot in the later months, and therefore make more money. They get lumpsum money while saving smaller periodic amounts.
In short, chit funds connect loan seekers with savers with the foreman as the person who guarantees the transfer of money. It is an overall less than zero-sum game, some member lose money while others gain money, while the foreman takes his payout.
Both the foreman and members are exposed to credit risk since the members can default on their payments, either before or after getting the prize. The foreman can sue the defaulters in court but timely settlement is a problem. Many foremen require some form of surety by members who have won the auctions. There is no bank/govt insurance for the chit fund payments, so it is riskier than bank deposits.
So if one sees that parents, or friends or relatives have earned a lot from chit funds, then they should understand that the above-FD returns are because of taking on the credit risk which may or may not occur in future. Consider your own risk appetite and financial situation before putting money in a chit fund. If you still want to take such a risk, at least go by organized reputed chit fund groups, and not local unorganized ones.
Promise of high returns: Chit funds cannot promise return rates in advance, and if any of them does it, it is better to run away. They cannot do so because no one can predict at what discount would the members bid for the prize money during the entire duration of the chit fund.
Unregistered: Please don't. You will have no recourse to get any money if there is any default.
Incentive to get new members: If the chit fund offers any incentive to get new/additional members, then it is outside the normal rules of the chit fund and is likely to be a Ponzi scheme. Run.
Allows to stop future instalments after getting the prize money. This structure is also against the basic chit fund system, and should make you think of what else? Run.
Online unknown chit fund schemes. Go only with groups backed by large groups/state governments who have been doing proper rule-based chit fund schemes. Don't entertain small unknown groups.
Direct Growth
Regular Growth
Commission Outflow
Direct Growth
Regular Growth
Commission Outflow
Fund Type
AAUM
Expenses Deducted
Direct Plan
Regular Plan
Direct Plan
Regular Plan
Direct Plan
Regular Plan
Direct Plan
Regular Plan
Direct Plan
Regular Plan
Direct Plan
Regular Plan
Direct Plan
Regular Plan
Direct Plan
Regular Plan
Direct Plan
Regular Plan
Fund Name
TER (Regular)
TER (Direct)
Commission Losses
Commission (% of total investment)
UTI Nifty Index
HDFC Top 100
Franklin Bluechip
ABSL Frontline
SBI Bluechip
DSP Top 100
ICICI Pru Bluechip
Nippon Large Cap
Fund Name
TER (Regular)
TER (Direct)
Mirae Asset Emerging Bluechip
Mirae Asset Large Cap
Mirae Asset Tax Saver
Mirae Asset Healthcare
Mirae Asset Focused Equity
Mirae Asset Hybrid Equity
Nifty 50 TRI
Nifty 500 TRI
NASDAQ 100 TRI (INR)
S&P500 TRI (INR)
Corrections in the stock market aren't unusual. Do your own due diligence before buying stocks.
Since 1920, the S&P 500 has, on average, experienced a 5% pullback 3 times a year, a 10% correction once a year, and a 20% decline every 7 years.
In fact, a 10-20% temporary decline is as common as your birthday and you should expect this almost every year.
A market correction should never be the only reason for buying stocks, unless you’ve already done your due diligence on the stocks you’re looking to buy.
It might sound surprising but the price of a stock is one of the least important things about a stock. At any point in time, the price of a stock may, or may not, reflect the underlying business fundamentals of the company in question.
Even if we assume that the stock recommendation comes from a person or an entity which apparently knows what they’re doing, you shouldn’t be willing to bet your hard earned money on borrowed conviction. They might find a better opportunity and sell the stock suggested earlier to buy another stock. Would they keep you updated every step of the way? They can also simply be wrong.
One has to realize that it’s much easier to buy a stock than it is to hold it or sell it. Although one doesn’t necessarily need to have conviction when buying a stock, holding a stock requires considerable research, devotion of time, and conviction, often in the face of extended downturns or a sideways market, even if one knows that the underlying business fundamentals are strong. The act of selling a stock is even harder and often the source of regrets among investors. People often have trouble letting go of a stock they’re mentally, and sometimes emotionally, invested in, even if the stock should be sold. Sometimes, people sell too soon and then regret it later.
while there is clear evidence of skill in buying, selling decisions underperform substantially — even relative to random selling strategies.
Assuming you’ve already done your due diligence on a stock and have enough conviction to hold it in the face of possible downturns, you may go ahead and buy the stock you want. However, if you haven’t done your own due diligence on a stock, it’s better to stay away from it. Asking for recommendations from others is a futile act because borrowed conviction will not help you in the time of crisis and the person who recommended the stock may not hold the stock in the near future or might be completely wrong about his choice.
However, if you still have the urge to buy something during a market correction, it might be relatively better to invest more in mutual funds you already hold.
How do we research a sector — in the Indian context
The author of this section DOES NOT have any long or short position for companies used in this section for illustration purposes as of the date of being published. This may or may not change in the future.
The companies used as examples are mentioned solely for educational purposes, mention of any company is random and is certainly NOT an investment recommendation.
As individual investors, our primary focus is to,
find disparities between a company's market price (the price at which it trades) and its intrinsic value (the underlying value of the company we find fair).
make an assessment on this disparity, and attempt to exploit it to make money.
It would be naive to take a shot at tracking all the listed companies. So, we need a method to carve out order from this chaos so to speak. Intuitively, arranging companies under different buckets based on some basis seems like a good starting point. One such basis is categorizing companies on the basis of the sector/industry under which it conducts business, then further categorizing them based on sub-sectors, and so on.
For example, a company 'A' selling chocolates and a company 'B' selling pencils would both broadly be part of the 'fast moving consumer goods' (FMCG) sector, however, company 'A' would come under Foods sub-sector, and company 'B' would come under Stationary sub-sector.
This categorization helps us keep track of a broader universe of stocks - it gives us an approach for thinking about companies based on the sector under which they operate before we even begin conducting our due-diligence on them. Once categorised, we can work with the sectors that we understand.
There are two investing strategies with which we can use this categorization,
Top-down strategy: This strategy involves studying macroeconomic factors to narrow down preferred sectors to invest in, then finding the best opportunities in such sectors. The focus on individual companies is lower here, and sector conditions are the prime focus. Sometimes, top-down strategy investors also prefer buying baskets of 2-3 stocks in a sector rather than finding the strongest player in the sector.
Bottom-up strategy: In this approach, we first find potential opportunities in companies based on some set of criteria or a checklist, and then slowly move up to studying the sector and its players. The focus on sector conditions is lower here than in top-down strategy; the idea is to find companies that can remain healthy even in sector downturns, and so can outperform its peers over the long term.
Either of them does involve at least some sectoral research, so let's get to how we can do that.
Broadly speaking, a sectoral research should include,
Information about the product, and its applications,
Understanding the value chain of the sector,
Market history, key events, and an overview on current conditions, and,
Benchmarks, and metrics to keep track of the sector.
To keep up with this section, I implore you to pick a sector, and try answering the questions I frame for each of these points. I will try to provide examples from different industries for each section for your understanding, but you can stick to the sector of your preference and pencil down the answers for the sector you picked.
Quite self-explanatory and perhaps overly simplistic, but noting down does help to answer a few forthcoming questions that are often ignored. For example,
Fast moving consumer goods sector, often abbreviated as FMCGs, sell products that are generally cheap, and sell quickly as a consequence of frequently being used, such as packaged foods, beverages, stationery products, etc.
Financial sector, often abbreviated as BFSIs in India, deals with financial products such as loans, insurance, brokerage services for capital markets, etc.
Pharmaceuticals sector sells medicines, drugs, vaccines and other health related products.
Most, if not all sectors can further be divided into different segments, and you'll often find the economic dynamics of such segments differ from one another, but generally not contradicting that of the sector itself. Often, a company operating under a segment eventually forays into all sub-sectors. For example,
Fast moving consumer goods sector can be categorized into personal care, home care, packaged foods, beverages, and stationary/office segments.
Automobile & components sector can be categorized into pureplay automobile manufacturers, and auto-ancillaries.
Utilities sector can be categorized into Power, Gas, Water, etc.
Market sizing refers to the estimation of a variable with little or no data available. In general, market size refers the potential revenue / volume a company can attain if it had 100 percent of estimated market share in the sector. Determining market size helps us perceive,
the growth potential of companies operating within a sector, and
the growth potential of the sector itself under conducive macroeconomic factors.
For example,
There is great value in identifying potential disruptions in a sector. There are two kinds of disruptions a sector can face,
A fundamental change in the product itself. An example of this is the introduction of affordable electric vehicles in the automobile sector.
A value chain analysis refers to evaluating various aspects involved in running a business, such as,
Procuring required raw materials & machinery,
Recruitment of labor / workforce,
Conducting Research & Development (R&D),
Building, testing, and releasing the product,
Managing & storing inventory, and
Marketing, distribution, delivery, installation & post-installation services of the product.
We evaluate value chain of a company to,
Understand the value created by a company in a marketplace,
Understand potential inefficiencies and bottlenecks faced by a company in building & selling its product,
Take account of steps taken by a company to weed out such inefficiencies and bottlenecks.
Analyse the value chain to see where costs can be reduced, and thus profits can be maximised, and
Understand the differentiation of various players which offers them competitive advantage.
a distinct advantage a company has over its competitors which allows it to protect its market share and profitability.
This additional value in the company's products can be many things - brand power, brand recall, pricing power, first movers advantage, technological superiority and so on.
You will find commonalities in value chain analysis of most companies working under the same sector. Thus, a broad understanding of value chain of a sector essentially gives you a bird's-eye view of any company operating in it. Paradoxically, the process of understanding value chain of a sector itself needs an assessment of value chain of a few companies in the sector. In due-diligence, there truly are no shortcuts.
Let us go through the mentioned aspects of a value chain with some examples—
Though this aspect doesn't necessarily belong to value chain analysis, the destination of production sites is often relevant in a company's business model. This can be in terms of keeping costs of building the product low, procurement of relevant raw materials, or recruitment of skilled labor.
Companies like to keep their raw material landed costs as low / benign as possible without compromising on intended quality of their products. This is, of course, because volatility in raw material prices would affect the cost of production, which in turn affects the profitability of the company.
A company has few avenues to keep raw material costs benign, such as,
Using raw materials efficiently by optimizing usage and minimizing wastage.
Having favorable long term contracts with suppliers to safeguard against volatility and achieve security of supply at favorable prices.
Minimizing the proximity of the company's production site to the supplier, since transportation of raw materials is generally borne by the procurer, directly or indirectly.
Vertically integrating supply of raw materials.
Some sectors require frequent capital expenditures on machinery and equipment. This may be for,
Capacity expansions,
Maintenance, or
Replacement of older equipment / machinery
In such cases, it may be worthwhile to understand the costs and specifics associated with such capital expenditures.
However, this is not to imply the capital expenditure needed for machinery and equipment is frequently done only in nascent companies. Some traditional sectors require constant upgrades too, and thus are capital intensive in nature.
Different sectors require varied kinds of the workforce needed to conduct its business. The cost of recruiting a company's workforce would depend on,
The skills required of the labor to conduct business, as different qualifications would dictate different wages.
The availability of such labor, as the fundamental supply and demand principles apply.
Research and Development (R&D) costs refer to expenses incurred in innovation & enhancements of products, services, and various activities of a company. Such investments are essential for a company to stay competitive in the market. Generally, sectors with higher rate of change in underlying technology have higher R&D costs, such as health care, telecommunications, and automobiles.
While the various input costs we've discussed so far affect the margins (a measure of profitability) of a company, the real value addition of a company in the marketplace comes from its manufacturing or production activities. In other words, a company purchases inputs (such as raw materials, power, etc) from its suppliers, and transforms these inputs into finished and marketable goods.
Consider a company that purchases such inputs, and for some reason can't convert it into a finished good. What will the company do with these inputs? If it is sellable in the market, such as raw material, it would do that. But since there's no value added by the company, it would at best fetch the same prices for such inputs that it bought it for (considering there's no price arbitrage). The company wouldn't get any profits.
The company would purchase inputs in the form of semiconductors (typically Silicon), tempered glass (specialized for solar modules), silver paste, and electrodes.
Silicon in crystalline form is melted and cast into blocks. These blocks are cut into thin wafers.
The wafers are then used as diodes, so that charges flow in only one direction. Thus, current is generated.
Many such wafers are combined to form a single solar cell producing about a watt of power. And, many solar cells are combined in a single solar module.
The diodes are connected with metals, so that current can be directed out of the cells.
To prevent the solar light from being reflected (the light reflected of course cannot be used to generate current), an antireflective coating of Titanium Dioxide (TiO2) or Silicon Nitride (SiN) is applied on the surface of cells.
An encapsulant material (typically Ethyl Vinyl Acetate) holds together solar cells between the top surface and rear surface. The top surface is tempered glass specifically made to protect solar modules and let solar radiation pass through. The rear surface is a thin polymer back sheet (typically made of Tedlar) that prevents ingress of water and gases.
The panel itself is typically put in a protective frame made of Aluminum.
A junction box is used to direct electrical connections outside the Aluminum frame.
Suppose you had bought a company that sells solar modules. If you had not studied the manufacturing/assembling pipeline, you would probably not be aware of the existence (let alone importance) of solar glass in the modules. In an event where there is shortage of solar glass in the market, the company would have to either pay extraordinary prices, or in the rare occasion, shut production. You, as an investor in the company, would be caught off guard with the margins of the company being affected. Thus, it is important to understand the importance of studying every aspect of the value chain of a company.
Once inputs are transformed into finished products, a company has to store the products and the raw material that remained unused. The finished product will be packaged and delivered to customers, and the raw material will be used as input at a later production cycle. This is referred to as inventory management.
An example of this is the rice sector. As you may know, some kinds of rice are aged before being sold. The company would need to ensure that the rice is kept safely with proper hygienic measures for long durations to safeguard against the rice being ruined.
Marketing, distribution, delivery, installation (if applicable), & post-installation services (if applicable) of the product are all customer-facing activities, associated with the part of value chain that is carried out after the company produces its finished goods. Essentially, marketing refers to a company's ability in effectively promoting the value of its products & creating an image of the brand, distribution refers to the various paths a product takes in reaching the end-user, and delivery refers to how the company hands over the product to the end-user.
You'll often find companies with moats create value in this part of the value chain.
For fast-moving consumer goods, distribution channels are key to ensuring their brands have a consistent mind share with customers. We all know the brand value that Nestle's Maggi enjoys, but another competitive edge of the company lies in its extensive distribution channels. It doesn't matter where you are in the country, you are very likely to find stores that sell Maggi & Nescafe coffee.
Hopefully, the significance of understanding value chains has struck you by now.
Any sector with a couple of years of existence has some past/forthcoming events that have a material financial impact on its players. This can be a major disruption, a government policy, a new player bent on capturing the position of incumbents, a black swan event and so on.
Studying such events gives you a lot of context on how a sector operates.
Having a finger on the pulse is vital to concluding your research on a sector. This includes catching onto a sector's growth headwinds, market maturity (where the sector is in its cycle), consumption split between organized versus unorganized market, consumption split between domestic and international players, split between the consumption in domestic and international markets, the players responsible for setting the trend in the sector (in terms of pricing power, product innovation, etc), the emerging players that could disrupt the set trends, the barrier to entry faced by new players, and so on. Look, it's impossible to list such things down here, specially since different sectors can have different things to look at, but the gist is to have an eye on what the participants of a sector as a collective are doing.
Tracking every number associated with the sectors you're tracking becomes impossible very quickly. And so, the flip side of performing due diligence is the ability to keep track of companies / sectors within your circle of competence as simply as possible. In fact, performing thorough due diligence yourself essentially allows you to abstract what's relevant in a sector, and track that. For example, with the telecom sector, much of what you need to know apart from your research is encapsulated in one number - average revenue per user (ARPU). With fast-moving consumer goods, a lot of information that you would need to keep an eye on cuts down to value/volume growth.
Occam’s razor is all about simplicity. The simplest explanation is often the best one. [...] And it really just enables you to the razor cut through the noise on an issue and just boil it down to the critical path towards an outcome. The best investors are able to boil down investment decisions to the fewest possible variables. [...] They have this unbelievable ability to aggregate all of this information about a company and just say the one or two things that actually matter. [...] They’re able to boil something complicated down to the simplest possible variable for them to look at. Gavin Baker [...] talks about this a lot in a number of interviews that I’ve heard with him, he talked about it as it related to electric vehicles, as an example. All that matters is the battery efficiency. And so, you just focus on that. You don’t need to get caught up in all the other metrics because battery efficiency is what matters for driving these businesses forward and for their success as a business model. And so you focus on that. That’s really what this is all about. Don’t add unnecessary assumptions, variables, and noise, when really only one thing matters. So identify that one thing, and then ruthlessly focus on it as a means to just bring simplicity into extremely complex companies.
To sum up what we've covered in this chapter, we essentially perform due-diligence over sectors to get a birds-eye view of its participants. A sectoral research includes the understanding of its products, an analysis of its value chain, looking at key events in its history, getting an overview on its current conditions, and an effective way to keep adding to it.
Reading an Annual Report — in the Indian context
The author of this section DOES NOT have any long or short position for companies used in this section for illustration purposes as of the date of being published. This may or may not change in the future.
The companies used as examples are mentioned solely for educational purposes, mention of any company is random and is certainly NOT an investment recommendation.
Readers are advised to read the complete fine-print of an annual report while conducting due-diligence and avoid skipping contents that went unmentioned in this section.
There are various filings & documents an investor should read before making an investment decision, such as the company's annual reports, quarterly reports, transcripts of conference calls held by the company, credit rating reports, brokerage reports, and so on. Of these, annual reports are unquestionably the most critical to study.
An annual report is a document that any listed company is required to provide to its shareholders at the end of every accounting year, containing information about the financial & operational activities undertaken for the year in review. Apart from this, the report also contains information about the management, the board of directors, and the products sold by the company. For an investor, it serves as the primary document to gather information about a company. In general, we want to see an attempt made by a company to make its business understandable to its shareholders.
As per the Securities and Exchange Board of India (SEBI) listing obligations and disclosure requirements, a listed entity must
submit its annual report on the stock exchanges, and
upload it on the company's official website
Apart from the stock exchanges and the company's website, annual reports can also be found on various screeners and other financial data aggregators.
Once you are on BSE's websites, you can search for the company on the search bar located at top right of the website > scroll down to find Financials toggle in the left sidebar > and click on Annual Reports to find the past ten years of annual reports of the company.
As mentioned earlier, companies must upload their annual reports on their official website to provide easy access to shareholders. These can generally be found under Investor Relations page on the company's website.
You can also find annual reports of companies on various screener and financial data aggregator websites. Generally, they're just links to the PDFs used for company's filings on stock exchanges.
More often than not, an annual report will begin with information about the company's product, its operational activities, management, board of directors, and ends with financial statements of the year under review.
This section gives a brief overview of the financial performance of the company in the form of slick visual representations designed to market the prospects of the company to the reader. It is important that you ensure to judge the data for what its worth, not for how it has been shaped to woo you over.
Oftentimes, the company also showcases their portfolio of products under this section (sometimes, a company will only showcase new additions to their product portfolio).
Though it is not mandated by law, companies usually take the opportunity to communicate to its shareholders,
Comments on operational activities conducted under the year in review
Review of the financial performance achieved under the year in review
Company's broad position in the sector in which they operate
General economical conditions under which the sector is conducting business
Threats that the company may face, and risk mitigation strategies
Plans to undertake new projects, or investments
Updates to the projects, or investments announced in the past years
Any other key event that took place in relation to the company
You may find this section sometimes containing two letters, one from the Managing Director (representing the board of directors) and the other from Chief Executive Officer (representing the management team) of the company.
The directors' report comes from the perspective of representatives of the shareholders.
You will often come across the same phrases or coverage of points used in multiple sections of the annual report. Essentially, the directors report elaborates and sets some context for the same points found under Management's letter to the shareholders section, but with further explanation and data points to support their claims, that is, this section expands on the company's operational activities, financial performance, position in the market, capital allocation policy, dividends distribution policy & dividends proposed for the year, capital expenditure plans, updates regarding the capital expenditure taken up by the company in the past, and the economic conditions under which the company is conducting its business.
You can, and should check whether the management is able to deliver on commitments made previously by comparing the operational or financial activities conducted in the year in review to plans announced in the past few year's annual reports.
Industry structure & developments
Opportunities & threats
Segment-wise, or product-wise performance
Risks and concerns
SEBI regulations make the inclusion of following points mandatory in this section:
Outlook for the business conducted
Internal control systems and their adequacy
Financial performance with respect to operational performance
Material development in Human Resources / Industrial Relations front, including number of people employed
details of significant changes in key financial ratios with explanations: debtors turnover, inventory turnover, interest coverage ratio, current ratio, debt to equity ratio, operating profit margin, net profit margin, and sector-specific ratios
details of any change in net-worth
This section explains the company's governance philosophy and the workings of governance structure, provides some details of the upcoming Annual General Meeting, and gives information about the key management personnel & the board of directors. Corporate governance refers to a structure that regulates and manages companies, encompassing the complete dynamics of its functioning. Good corporate governance practices are a sine qua non that helps to create long-term value for both its shareholders and other stakeholders.
The corporate governance report includes,
Short profiles on the directors and key management personnel
Changes (appointments, reappointments, and retirements) to be undertaken in board of directors and the key management personnel team
Remuneration, or compensation paid to the directors and key management personnel in the year in review (this includes sitting fees)
Compositions and mandates of board committees
Attendance of directors for board meetings, and
Details of the upcoming Annual General Meeting (AGM)
If the company doesn't spend the required minimum of 2 percent of average net profits for the past 3 years, this section contains an explanation, and mentions how it will proceed with the unspent amount.
If the company spends more than the required minimum amount mandated by the law, you may appreciate that the company is willing to spend more on social development, or shudder at the decision of increasing CSR expenditure at the cost of decreasing shareholder value.
This section notifies the shareholders of the company of all relevant details regarding the upcoming Annual General Meeting, such as
date and venue at which the meeting shall take place,
the agendas to be discussed in the meeting, and
information regarding shareholders voting process
Notice of the AGM can also come as a separate email, notice to the investor, or as a newspaper ad in an English and a local language publication, as mandated by SEBI.
With this, the non-financial half of an annual report concludes.
The financial part of annual report begins with an Auditor's report, which contains an assessment done by an auditing entity evaluating the compliance of forthcoming financial statements with Indian Accounting Standards (Ind-AS) or International Financial Reporting Standards (IFRS). The auditor is expected to disclose,
any deviations noticed from Indian account standards (Ind-AS) or International Financial Reporting Standards (IFRS)
any fraudulent accounting observed
alignment and agreement with the company on the compliance and reporting of numbers
The financial statements section includes standalone and consolidated (where applicable) statements of profit and loss, balance sheet, cash flow, and change in equity. The statements usually have figures from the previous year for easier comparison.
The Profit & Loss (P&L) statement deals with information about revenues received by the company, expenses incurred, and profits earned by the company in the year under review.
The Balance Sheet statement is essentially taken as a snapshot at any specific time, providing information about the assets, liabilities, and shareholder's equity held by the company. Since it is taken as a snapshot at the end of year and carried forward, it shows us this information as a resultant of operations of the company since its incorporation.
The cash flow statement gives us transactional details of the cash collected / earnt by the company (inflows) from its operational and investment activities, and cash spent (outflows) on financial, operational, and investment activities by the company.
The statement of change in equity deals with transactions related to shareholder's equity in the year under review.
You can refer to detailed calculation or breakup of figures reported in financial statements of the company under the Notes to Financial Statement section to get a better understanding of the business. For instance, you can often find the interest rates at which the company has taken up a loan under the note elaborating borrowings of a company. Figures in financial statements are accompanied by an index consisting of the serial number of the note interlinked with a specific figure. Take this screenshot taken from Tata Consulatancy Services' profit and loss statement.
Suppose you want to investigate about the finance costs reported, you simply have to check the note number in front of the heading, and look for note 16 under the Notes to financial statements section. You'll find the breakup of finance costs given under the note.
Apart from calculation / breakup of figures, this section also provides information about accounting policies followed by the company in preparing the financial statements, and specifically mentions any change to the policy introduced in the year under review.
Companies are required by law to disclose all transactions (transfer of resources/services/obligations) taken up by the company with entities controlled or significantly influenced by the company's promoters, directors, key management personnel, and their family members. These disclosures can be found under the Related Party Transactions section of an annual report. Often, this section is under Notes to Financial Statements
Reading order for annual reports of a company: Personally, I prefer and recommend reading at-least past 5 years of annual report of a company before making an investment decision, ordered from oldest to newest or you may take a small, immaterial token position (i.e. capital you can afford to lose) and then study the company reports in detail before increasing your position. I've often encountered companies that have a listing history of nearly 5 years. In that case, I read the Red Herring Prospectus of the company as well, since it's usually more comprehensive regarding risks and threats the company may face.
This series on Stocks will go into detail about how to read an annual report, how to research industry sectors, financial ratios, preparing a due diligence checklist, and much more.
During the course of one's investing journey, one may come across their friends, relatives, colleagues, or simply hear about it in the newspaper or a website, about how profitable stock investing can be.
As on April 2021, there are 3,947 companies available for trade on BSE, the oldest stock exchange in India. Only 500 companies among these are qualified to be on the S&P BSE 500 TRI index while only 30 companies make it to the premier S&P BSE SENSEX TRI index.
Considering that there are approximately four thousands listed companies in the stock market in India, how does one go about deciding which companies to invest in? Where do we even begin? Which companies are "better" than their peer companies also listed on a stock exchange? Which parameters should we employ to judge companies and their stock? Perhaps we should also be asking ourselves — can we beat the market, benchmark indices like S&P BSE SENSEX TRI and Nifty 50 TRI, if we invest in stocks? If one isn't able to consistently beat easily investable indices after dabbling in stocks for several years, is stock investing even worth it?
We'll attempt to answer these questions in this series.
Financial metrics and ratios are numbers which can help investors interpret the financial performance, health, and efficiency of a company.
Financial ratios are numbers which can help investors interpret the financial performance, health, and efficiency of a company.
Although financial ratios can seem like an attractive tool to make quick judgments about a company, in isolation, a financial ratio conveys little information and, in some cases, can even be misleading.
One of the most popular financial ratios, the price to earnings (PE) ratio, is used by a lot of investors to somehow judge the "value" of a company which may or may not always make sense. Avenue Supermarts, a chain of supermarkets across India, operating under the brand name DMart, made its debut on the NSE on 21st March 2017 at a PE ratio of approximately 105 and since then it has rarely exhibited a PE ratio of less than 90.
Of course, this doesn't mean that PE ratio isn't useful, but one should know how and, more importantly, when to use it. That goes for all financial ratios we're going to talk about.
All that being said, financial ratios can become a powerful tool in an investor's repertoire if
the method of calculation of the ratio in question is accurate
the ratio in question is calculated for a period of time (we suggest looking at, at least, the past 5 years of financial statements) to create a trend of how the company has performed
the ratio in question for a company is compared against its peers and an industry wide analysis is performed
When we say trend, think of Google Trends. Plotting financial ratio data points on a graph over a period of time would tell us a lot about how a company is evolving. Similarly, comparing these trends in financial ratios data against industry peers helps us gauge whether the evolution of the company is satisfactory and competitive.
In the following sections, we'll take a look at various financial ratios, their implications, and their relevance across different sectors.
Introduction to what advance tax means, and if you owe advance tax, how to pay it to IT department
Income tax is commonly deducted at source by the entity (employer, banks etc.) while making a payment to the taxpayer in any form (salary, interest, income from profession etc.).
This is known as TDS (Tax Deducted at Source) and is generally reflected in Form 26AS every financial year/ assessment year.
However, the taxpayer might have other sources of income on which no tax has been deducted. Or, adding up the income from multiple sources would probably put them in a different tax bracket with extra tax liability; that neither entities might know about.
Examples include:
Capital Gains from sale of stocks or mutual fund units, or selling house / real estate
Rental income
Freelance/business income
Income from bank deposits
In such cases, the responsibility lies on the taxpayer to compute their tax liability in advance and pay it to the government directly; as advance tax.
However, it's also not enough to just pay the total tax owed to the Income Tax department, by end of the financial year.
As it happens, one needs to also pay the right tax based on estimate of gross income for the whole year, before the right dates (advance tax deadlines) in a financial year.
Based on prevailing Indian tax law and IT act, it's generally supposed to be paid on a quarterly basis.
The advance tax must be computed and paid based on the tax slab, to which the taxpayer belongs, if the overall tax liability is greater than ₹10,000 in a financial year.
If advance tax is not paid, interest may be charged on the tax liability under sections 234B and 234C of the Income Tax Act.
For senior citizen (more than 75 yr old), if only pension and income from bank interest are only the 2 sources of income, the bank will deduct the TDS and no need to file ITR (Income Tax Return).
Click on Challan No./ITNS 280 section See image(s) below for guidance, and click to zoom in
Select (0021) Income Tax (Other than companies) under Tax Applicable.
Select (100) Advance Tax under Type of Payment
Select the mode of payment, enter your PAN, assessment year and other details. Assessment Year (AY), is usually one year ahead of Financial Year (FY). For example, if it's advance tax for FY20-21, then that should be selected as AY21-22.
Make the payment with Netbanking or Debit card or UPI (as applicable), and keep a copy of the tax receipt /challan, which has details such as
BSR Code
Tender Date
Challan No.
See below for a sample counterfoil after advance tax has been paid.
This will be useful at the time of filing of tax returns where details of advance tax paid should be entered.
However, ideally, if the transaction and payment were successful, you should see your 26AS statement updated in a few days after paying advance tax, reflecting the amount. This would also be auto-filled in your ITR, during return filing.
One might wonder, if there's any value in paying taxes in advance. Why can't we just pay it during filing returns?
Section 234, in particular section 234B and section 234C, deal with penalties of not paying right taxes at the right time. Rest assured, if you owe the Govt. any taxes, you'd have to pay it.
If you don't do it on time, you'd be paying that with exorbitant interest as penalty for late payment.
If you've any concerns over how to estimate advance taxes, it's prudent to do a tax planning at the beginning of the financial year, and review that once a quarter. If needed, it's of extreme value to employ a tax professional for a fee. Might save you a lot of headache and surprises down the line.
You might want to refer to some online articles or posts about more details on this process, and various corner-cases. Here are a few examples, provided below.
How to achieve something specific in context of investments, finance, and economics
If depository of both to and from DP is same, use Easiest for CDSL and Speed-e for NSDL. Otherwise, submit DIS physically
Before we begin, we need to clarify on some terminologies used in this document.
A DP (Depository Participant) is a broker who coordinates with the national depository to keep our shares, debentures etc. in electronic form
National Depository: Centrally authorized share depositories. Presently, there are two such depositories in India
CDSL (Central Depositories Services India Ltd)
NSDL (National Securities Depository Ltd)
Depending on to which national depository both the DP (From where you want transfer and to where) are associated with, the procedure for transfer are different.
Online transfer will only work if the national depository of both the to & from stock broker is the same.
CDSL Provides an online platform (EasiEasiest) for submitting off-market, on-market, inter-depository and early pay-in debit instructions from one's demat account.
Below are the steps to use that facility to transfer shares from one DP to another
Provide the details of DP from where you need to transfer the shares while registering
Add the trusted account by giving DP details to where you need to transfer the shares
Go to Setup → Bulk setup → Transaction
Select the added trusted account to which you need to transfer the share and provide the needed details
After successful verification, the transfer procedure will start
Similarly NSDL got Speed-e service which offers similar functions if your DP supports e-DIS.
Please try offline transfer only if the online option doesn’t work or you have to transfer shares between an NSDL and CDSL linked DP.
Please note that you may have to pay the charges for the DIS slip, and its postal charges; if you opt this route.
Get the DIS (Delivery Instruction Slip) from your existing stock broker.
Fill DIS with
Demat account number & DP ID of the account to which you need to transfer the shares.
Name of the security / company / scrip, and its ISIN number.
Send the DIS along with the CMR (Client master report) copy to the new account provider.
In 3-4 days after the receipt of the DIS, the shares should reflect in your new account.
If you are closing the old account, you can fill the details of the account to which you need to transfer the shares. This will eliminate any transfer fees
For any issue related to the securities market, file complaint in scores.gov.in website
As an investor, you've certain rights, and market participants (AMC / RTA / broker / depository / advisor / distributor etc.) have to make sure your rights are not violated.
Indian securities markets are highly regulated. And if you're not satisfied with resolution of an ongoing issue with your broker or AMC you're investing with; you can approach SEBI (Securities and Exchange Board of India) to hear you out.
For any grievance related to the securities market, with a listed company/ intermediary registered with SEBI you can file a complaint with SEBI if you are not satisfied with the response from the party.
What is an intermediary in this context?
Examples of Intermediary
Depository & Depository Participant
Mutual Fund house
Investment Advisor
Institutional Investor
Broadly speaking, SEBI takes up complaints related to
Issue and transfer of securities (e.g. listing not visible after purchase)
Non-payment of dividend with listed companies
Against the various intermediaries registered with it and related issues (e.g. Mutual fund house not allowing cancellation of SIP)
You can file the complaint in the online platform called SCORES provided by SEBI and track its status.
Below are the steps to raise a complaint provided the issue had happened in the last 3 years
After login, go to Investor Corner -> Complaint Registration
Provide details like name of entity, nature of complaint and category like Mutual Fund, Broker, Portfolio Manager etc.
Detail the complaint in less than 1000 words and attach any proof in PDF format if you have.
You will receive an acknowledgment after submitting. An email and SMS also will be sent to acknowledge the same.
A response will be given to the complainant with in 30 days.
Category List
Listed Companies, Registrar & Transfer Agents, Non-Demat & Remat
Brokers, Stock Exchanges
Stock Broker
Portfolio Manager
Stock Exchanges
Commodity Exchanges
Depository Participants, Depository
Other Entities
Collective Investment Schemes
Merchant bankers
Debenture Trustee
Bankers to an issue
Credit Rating agencies
Custodian of securities
Underwriters
Venture Capital funds
KRA (KYC Registration Agency)
Alternative Investment Fund
InvITs (Infrastructure Investment Funds)
REITs (Real Estate Investment Trusts)
Manipulation
Price/Market manipulation
Insider trading
Complaints pertaining to commodity derivative
Investment Advisor, Research Analyst
Fake and Forged
If you haven’t registered the complaint to the relevant entity before escalating it to SEBI, they will redirect the complaint to the concerned entity and you will receive a reply in 30 days.
If you want to file a complaint against a company which is about to be listed, select “Pre-listing / Offer document” under complaint category.
Based on our experience, possibly the hardest part in registering a complaint on SCORES is to find which category the market participant belongs to.
If you already have this information it's quite straight-forward to file this complaint.
We have table below, which should help with filing complaint against common popular entities
Some of the names in the 3rd column are uncharacteristically capitalized, but that's only because these are lifted as is from SCORES portal, without any modification.
This is by no means an exhaustive list; and the registration can change / get defunct / recategorized at the time of reading this.
However, most of these should help you file a complaint against one of these popular entities.
An individual investor needs to invest time and effort, have a capability to think on a higher level than the consensus view, adapt to changes in market dynamics, and have patience and conviction.
Here you'll find,
What does beating the market mean? Is it possible?
Whether one can consistently beat the market - and what it takes
The phrase beating the market can mean different things for different people. The intuitive definition is to earn returns on a portfolio level that consistently beats the market index. However, more people allocate their equity investments in funds managed actively than passively - so it makes sense to see how your returns stack up against that of professional investors (simply put, those who invest money on behalf of others), or at-least try to understand how an individual investor has a fighting chance against institutions in the chase for every possible rupee gain.
It's easy to achieve average market performance, one simply needs to buy the market through a low cost index or exchange trading fund - and there's nothing wrong with aiming to get what is known as market returns; between February 2000 to 2020, over a 20 year period, Nifty Total Return Index returned a compounded annualized growth rate of 14.3% per year, comfortably beating inflation.
If efficient market hypothesis is to be believed, stock prices reflect consensus view of all publicly available information that can have a material impact on the price action of the stock. However, that doesn't render the exercise of finding mismatches between price and intrinsic value of a stock ineffectual. Instead, it involves finding instances where the consensus view of the market is itself inaccurate, thus creating an opportunity to make money from the divergence.
So, if an analytical mind is willing to invest time and effort in pursuit of such mismatches, earning profits higher than the market returns is possible, and can be a great tool to create wealth for goals.
There are several logical, financial and regulatory obstructions that a professional investor has to face, which makes the prospects of individual investors beating them higher. Some are,
The account size of professional investors is such that any meaningful investment in a midcap or smallcap stock has an impact on its price. And so, they're constrained with a limited universe of companies to pick from.
Professional investors are bound by the mandate of the fund they manage, and so any investment that falls outside of this mandate is out of the question, further constraining the universe of companies to invest in.
Like an individual investors, the performance of a professional investor is compared to market returns. However, unlike an individual investor, a professional investor can't pragmatically afford to underperform the market for a long duration at the risk of losing their clients. To a professional investor, this is known as benchmark risk, and the only way to keep up for them is to imitate an index once a reasonable alpha is generated. Once this happens, the professional investor generally tends to stop caring about additional returns, and rather focuses on averting losses that could cost them their jobs.
Most professional investors lean towards having a diversified portfolio as a consequence of avoiding these risks, and thus outperforming the market with such diversification is relatively improbable compared to a curated portfolio maintained by an individual investor.
It is worth noting that the exercise of comparing an individual investor's returns against that of the market, and that of professional investors is relative in nature. However, picking stocks should encompass more than that. Critics would be correct to note that majority of individual investors beating the market luck out on taking incremental risks that they don't necessarily know or acknowledge. As Seth Klerman notes in his annotation in Howard Marks' The Most Important Thing —
"Beating the market matters, but limiting risk matters just as much. Ultimately, investors have to ask themselves whether they are interested in relative or absolute returns. Losing 45 percent while the market drops 50 percent qualifies as market outperformance, but what a pyrrhic victory this would be for most of us."
Another upside to the exercise of stock picking is that if it is done correctly, the comprehension / understanding of risks associated with the equity you hold is higher than when investing in a fund — active or passive. The reasons are simple:
The investor is more likely to be doing their own due diligence for the underlying stocks in their direct stock portfolio.
Generally, a retail investor's stock portfolio is more concentrated than an equity fund (let alone more than one in aggregate, which seems to be the norm), so it takes less time and effort to keep track of stocks in a direct stock portfolio than stocks in an equity fund.
Also, as Seth explains, an investor has to think in terms of both absolute, and relative returns - beating the market matters, but absolute returns are equally important; the inverse of this is also true - one may be able to reach their self-defined goals in terms of returns, but under perform the market in a bull run.
Apart from benchmarking against the market, or self-defined goals, some investors often pick up direct stock picking for much simpler reasons - enjoying the process behind evaluating a business, and acting upon opportunities provided by the market. That is, there's a certain pleasure in doing it yourself.
Establishing the possibility of beating the market is futile if one doesn't acknowledge what it takes to do it consistently — a brutal cocktail of time, effort, discipline, conviction, contrarianism, and an investment philosophy to invest the time, effort, discipline, and conviction in.
An investment philosophy can be thought of as a construct of mental models upon which the investor builds his portfolio upon. If the universe of stocks under the investor's circle of competence is chaos - an unexplored territory of potential, the investor mines out order from this chaos in the form of a portfolio, using mental models as forklifts. The lack of having an investment philosophy generally results in owning stocks that are not a perfect fit for the portfolio. As Chuck Palahniuk writes in his book,
'If you don't know what you want, you end up with a lot you don't.'
So, mental models help investors validate their strategy by providing a confined framework, and an investment philosophy is a set of mental models that the investor follows. Luckily, mental models in stock picking have been figured out to a large extent (such as momentum, growth, low multiples and value investing), one simply needs to recognize, study, and implement them.
For all intents and purposes, every investor (professional and individual) competes in pursuit of profits in any asset working with the same information available in the public forum. The consensus on the impact of this information is what establishes the stock price in the short run, and so if your view aligns with that of the majority, it makes sense that you'll largely make market returns - every investor can't beat the market as together they are the market. To get extraordinary returns, you need to have an extraordinary perspective. This is what Howard Marks calls second level thinking, Ben Graham calls trace of wisdom, and Warren Buffett & Charlie Munger call having an edge.
This is not to say the consensus view of information is always wrong, in all likeliness millions of other investors may be smarter and more knowledgeable than you. The idea is to find instances where the individual investor can use contrarian insight that the market isn't reflecting, and it has to be accurate, or at-least more correct than the consensus view.
To quote Howard Marks' The Most Important Thing,
Only if your behaviour is unconventional is your performance likely to be unconventional, and only if your judgments are superior is your performance likely to be above average. For your performance to diverge from the norm, your expectations— and thus your portfolio—have to diverge from the norm, and you have to be more right than the consensus. Different and better: that’s a pretty good description of second-level thinking.
Marks also proceeds to provide a framework, a set of questions that an investor must ask when working with contrarian thinking,
What is the range of likely future outcomes?
Which outcome do I think will occur?
What’s the probability I’m right?
What does the consensus think?
How does my expectation differ from the consensus?
How does the current price for the asset comport with the consensus view of the future, and with mine?
Is the consensus psychology that’s incorporated in the price too bullish or bearish?
What will happen to the asset’s price if the consensus turns out to be right, and what if I’m right?
To sum it up, holding consensus view on any material information comes naturally to us — specially if an investor relies on financial news channels or social media to acquire information; but that's not how above average returns can be achieved, by definition consensus views largely yields market return. The ability to accurately spot market inefficiencies requires an edge.
Taking the time and effort to read annual reports, brokerage reports, primers, conference call transcripts, and various other filings are all part of what an investors signs up for while performing due diligence for a company. Skim, and you may miss what disproves your investment thesis, which is perhaps one of the major reasons for higher churn rates in an individual investor's portfolio.
When asked on how to make smart investments, Warren Buffett said,
“Read 500 pages like this every week. That’s how knowledge builds up, like compound interest.”
To beat the market, you need to bring what's needed to be a succesful investor, and that means sacrificing a lot of time and effort that could have been used elsewhere, like your day job. At some point, an investor needs to decide whether the cost of time and effort exceeds the benefit of outperformance in his/her stock picking journey.
Having an accurate non-consensus view will only get you as far as your conviction on the investment thesis goes. Remember, the market can stay irrational for long durations of time. As Sanjay Bakshi notes in his appearance in an episode of the We Study Billionaires podcast, unlike many other professions, an investor rarely receives an immediate feedback on his operations. Sometimes it takes years for the market to catch up to intrinsic value of an asset, and so it is hard to separate luck from genuine success — so hold on to the underlying process rather than focusing on the outcome. A good handle on your conviction helps you to hang in until other investors catch up on the market's inefficiencies. On this subject, Joel Greenblatt annotates on The Most Important Thing,
I always tell my students, “If you do a good job valuing a stock, I guarantee that the market will agree with you.” I just don’t tell them when. It could be weeks or years.
Another thing to note is an investor should never rely on borrowed conviction, primarily because it's never enough to hold on to. If you don't do your own research, and rather rely on someone else's, the conviction tends to be weak, and so emotions act up, and exit plans are broken before the thesis fully appreciates. The other reason is that you have to rely on the goodwill of the researcher, as they may not warn you if something disproves their thesis.
As Howard Marks notes in The Most Important Thing, investing is more art than science — in the sense that past results can't be relied upon with confidence, the cause and effect relationships can't be depended upon. And so, investing can't be routinized. An investor must be able to adapt to changes in the market dynamics to consistently outperform the market.
To sum it up, an individual investor needs to invest time and effort, have a capability to think on a higher level than the consensus view, adapt to changes in market dynamics, and have the capacity for patience and conviction to consistently beat the market.
crores
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Total Expenses: crores
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A correction or a crash in the stock market isn’t an unusual event, despite what one might think during such an event. ,
Of course, similar behavior can also be observed in India with the S&P BSE Sensex index in the past 20 years, starting from 1980 to 2020. According to this blog post by ( | ),
Let’s assume that you didn’t do any due diligence on the stocks you bought during an ongoing market correction after asking for stock recommendations. What would you do if the price of a stock you bought falls by more than ? Would you sell it or hold it? What would be your reason for taking either of those actions?
( | ) from the University of Chicago and MIT Sloan School of Management suggests that,
A prerequisite to finding such a disparity is having a set of companies to work with. Collectively, the market is made up of thousands of companies; it is chaos, an unexplored territory with limitless potential, if you will.
Domestic automobile sectors sold 21.5 million vehicles in financial year 2020.
Fast moving consumer goods sector was a 3.4 lakh crore market in India as of financial year 2018.
A change in business dynamics of the sector. The obvious example of this kind of disruption is the entry of Reliance's Jio into the telecom sector forcing the incumbent players to either match its prices, or shut shop.
If you think about it, a company's intrinsic value is some function of the additional value it exclusively creates in the marketplace, and the relative efficiency with which it conducts its business. I feel this is roughly what people mean when they're referring to a company's competitive edge, or what Warren Buffett calls moat, which Investopedia defines as,
For example, Ruchira Papers, a paper manufacturing company, prefers Himachal Pradesh as a preferred manufacturing destination as the energy costs in the state are favorable, and raw materials (softwood pulp, wheat straw) are readily available from Punjab and Haryana.
A sectoral example of this is a large number of cement production plants in Rajasthan due to the state being rich in limestone.
For example, Tata Metalliks, a company that was initially engaged in producing and selling pig iron, has opportunistically pivoted to primarily selling ductile iron pipes in recent years. Note that one of the key raw materials needed for producing ductile iron pipes is pig iron, which the company has been producing for years.
Recently as you may have heard, pharmaceutical manufacturers have started relying on backward integration for the supply of active pharmaceutical ingredients (APIs), which is the raw material needed for production of drugs.
Nascent sectors are a good example of this. As you may know, the Electric Vehicles (EV) sector needs constant investments for building charging stations — the adoption of the technology heavily depends on it. The CEEW Centre for Energy Finance estimates in its report that an investment of $2.9B is needed to develop 2.9 million public charging points in the country by FY30.
For example, consider the telecommunications sector with evolving technology standards for their network infrastructure. It is estimated that Reliance's Jio, Airtel, and VI (formerly known as Vodafone Idea) will need to spend a combine of roughly $28B in capital expenditures in the next few years to build infrastructure of 5G.
For example, the IT sector would consider software developers and project managers as its workforce, which for reasons not in the scope of this section, requires skills that command higher wages. Employee costs are generally 50-60 percent of operating costs in these Tier-1 players of this sector. Thus, while tracking the IT sector, employee costs would be one of the key metrics to keep in mind.
So, studying the production (or value addition) process of a company is essential to understand how a company generates its profits. Let us take an example here, that of manufacturing of solar modules. If you are not aware, solar module are components that convert solar radiations into electricity. A solar module manufacturing process is as follows,
A great example of a marketing campaign is the Ambuja Cement ad we've all seen at some point, in which after terribly failing to destroy a war between their houses, Boman Irani asks Boman Irani 'Bhaiya yeh deewar toot ti kyu nahi!?' and Boman Irani replies 'Kyuki yeh deewar Ambuja Cement se bani hai'. Fun times.
Take the airlines industry in the recent past as an example of a black swan event & intervention by the government. In April/May 2020, airlines had to ground their flights due to rampant spread of coronavirus. While domestic flights have resumed, operations are still at ~50% of pre-COVID levels. The Ministry of Civil Aviation (MoCA) has mandated fare bands, limiting the revenues earned by airlines.
For the telecom sector, a major event in its history dictates the fate of its player for the next few years; the Supreme Court of India asked 15 telecom players to pay a combine of roughly 90,000 crores to the government. For the coming years, two of the total four players have to take strategic decisions with this liability in mind.
Sahil Bloom, VP of Altamont Capital Partners describes this beautifully in his appearance on the We Study Billionaires podcast,
The Bombay Stock Exchange's (BSE) website can be found at
The National Stock Exchange of India's website can be found at
You can simply search for the company's name in corporate filings > on NSE's website.
For instance, Bajaj Auto's annual report can be found . A screenshot is shown below as an example.
For instance, on , you can find annual reports of past few years under the documents section of a company's page. generally links this to BSE's repository of filings.
Unlike Management's letters to shareholders, this section is mandated to be placed in an annual report either as a part of Directors report, or as its own entity. SEBI regulations instruct the management of companies to include the following discussions/analysis under this section (We've added relevant excerpts from ARs of two different companies):
Corporate Social Responsibility activities refer to investments made by a company to responsibly handle the social, environmental and economic consequences of its activities. These expenditures incurred are mandatory by law for companies having net worth of at least 500 crores, or turnover of at least 1000 crores, or a net profit of at least 5 crores, as a result of the obligation on the companies operating in a social environment.
We have talked about understanding related party transactions under the chapter of this series.
As mentioned in the disclaimer, you are advised to avoid skipping any contents of an annual report that I may have missed in this section. The contents and organization of annual reports vary from company to company, and so I've tried to include sections I've come across under most annual reports, but more importantly, all sections that are mandated to be included in an annual report by Schedule V of LODR Regulations, and Section 134 and other applicable provisions of the Companies Act.
The ability to create & export highlights helps in efficiently going through an annual report — So use a PDF viewer if you can! Personally, I use -- its online, tracks progress, and gives you the ability to export your highlights.
We've previously mentioned the importance of conducting thorough due diligence while researching a company in the section chapter of this series. Reading an annual report is essential to get a better understanding of the business a company is engaged in, but sometimes the technical terms used in an annual report may repel the uninitiated, and so we've tried to explain most sections found in an annual report.
For example, if an employer has paid in salary over the year to an employee, then depending on tax saving investments for the employee, the employee might be liable for, say, in taxes.
This entire would have ideally been deducted by the employer, as TDS, and deposited to income tax department. In particular, the TDSPC (TDS Processing Cell).
For freelancers and other non-salaried professionals, of tax must be paid on or before 15th March.
Visit the tax information network portal of the income tax department. Link:
| |
| |
List of DPs offering Online transfer- ,
Register for Easiest facility:
To close the account in NSDL, the application form in must be submitted or a separate request on plain paper along with the DIS form to transfer securities, both signed by the account holder and it takes 15 days after that. Refer for more details
Register account in the SCORES portal:
See SEBI Circular: for more details and flow chart.
On or before 15th June
of liability
On or before 15th September
of liability, minus tax already paid
On or before 15th December
of liability, minus tax already paid
On or before 15th March
of liability, minus tax already paid
5Paisa
Stock Broker
5Paisa Capital Limited--NSE
CAMS
Registrar & Transfer Agents
COMPUTER AGE MANAGEMENT SERVICES LTD
Coin by Zerodha
Stock Broker
ZERODHA BROKING LIMITED--BSE
ETMoney
Investment Advisor
Groww
Stock Broker
NEXTBILLION TECHNOLOGY PRIVATE LIMITED--BSE
INDMoney / INDWealth
Investment Advisor
Finzoom Investment Advisors Pvt. Ltd.
KFinTech
Registrar & Transfer Agents
KFIN TECHNOLOGIES PVT LTD (Formerly KARVY COMPUTERSHARE PRIVATE LIMITED (KARVY CONSUL LTD))
Kuvera
Investment Advisor
AREVUK ADVISORY SERVICES PVT. LTD.
MFUtility
Registrars & Transfer Agents
MF UTILITIES INDIA PVT. LTD.
Mobikiwik Money
Investment Advisor
HARVEST FINTECH PRIVATE LIMITED
Niyo Money / Goalwise
Investment Advisor
ALPHAFRONT FINSERV PRIVATE LIMITED
PayTM Money
Investment Advisor
PayTM Money Limited
PayTM Money (Equity)
Stock Broker
PAYTM MONEY LIMITED--BSE
Smallcase
Research Analyst
Windmill Capital Private Limited
Upstox
Stock Broker
RKSV Securities India Private Limited--BSE
A checklist to reference while performing due diligence on a company.
The Product
Brief History / Key Events
Value Chain
Market Overview
Industry Benchmarks / Key metrics
Brief History/Key Events
Value Proposition
Business Model
Profit & Loss Statement
Balanced Sheet Statement
Cash Flow Statement
How much cash is being left after tending to operational expenses and capex (free cash flows)
Are there any anomalies/red flags in the cash flows of the company?
Profitability Ratios
What has been the trend for operating margins for the past few years?
What has been the trend for net profit margins for the past few years?
What has been the trend for return on capital (roic/roce) for the past few years?
Capital Ratios
Is the company over-leveraged? (in terms of debt to equity etc)
What is the latest cost of equity, cost of debt, & thus weighted average cost of capital for the company?
Is the company able to service its debt obligations? (in terms of interest coverage ratio, quick ratio etc)
Efficiency/Operational Ratios
How much time does it take for the company to convert its investments into cash? (in terms of cash conversion cycle)
How much time does it take for the company to convert its inventory into sales? (in terms of inventory days/inventory turnover)
Industry Benchmarks
How does the company stack up against peers in terms of industry benchmarks (like capacity utilization, average revenue per user, revenue per room, gross merchandise value etc)
Overview of promoters & management
Are the managers of the company competent enough to run it?
Is the management style overly conservative or aggressive?
Have the actions of the promoters or managers been in the interest of minority/retail shareholders?
Have the promoters or managers been transparent & integrous in actions that impact the operations or valuations of the company?
Is there a proper succession plan in place for key positions of the company?
Is the management of the company being remunerated more than they should be?
Do the promoters or managers of the company communicate well with the shareholders (hold conference calls, conduct interviews, answer to investor relation emails, etc)?
Shareholding Pattern
What has been the trend for promoter shareholding in the recent past?
How does the distribution look between retail and institutional shareholding?
Is there enough free float? Are the shares of the company liquid?
Is the quantum of shares pledged a concern?
Red Flags
Is there any pending litigation against the promoters or managers that can materially impact the stock?
Is there any pending litigation against the company that can materially impact the stock?
Are there too many/suspicious related party transactions taking place?
Is the structure of the company too complex (in terms of subsidiaries, holding companies etc)?
Are there any red flags in the auditor notes?
Multiples
What multiples have been used to evaluate the valuation of the company, if any?
How do the multiples compare versus peers in the same sector?
Is there a significant discount for risks that the multiples of the company suffer from? Why?
Is there a significant premium for moats that the multiples of the company enjoy? Why? Does the moat show up in financial statements?
Has there been a significant rerating of multiples for the company? Why?
Valuation Models
Have you used any valuation models (such as Discounted Cash Flow or Discounted Dividend or Sum of parts) to evaluate the company?
If a valuation model has been used, what is the approximate intrinsic value of the stock as per the model? What discount does the stock price enjoy with intrinsic value in context?
Valuation Philosophy
Would you characterize buying of the stock as value investing, or growth investing?
Is there adequate margin of safety in an investment in the stock? What constitutes it?
Consideration of investment
What is your primary thesis for investing in the business?
What is the expected duration for which the company is being bought?
What are the quantitative factors that could invalidate this investment thesis?
What are the risks or threats that could cause invalidations to this investment thesis?
What would conclude your investment in the company if everything goes according to the thesis? What is the exit plan?
Is your investment thesis in consensus with other participants of investing forums such as r/IndiaInvestments Subreddit/discord or ValuePickr? Does this classify as a contrarian bet?
Is your investment thesis based on a corporate action or a key event that would have material impact on the stock price? Does it therefore qualify as a workout investment?
Should this transaction be avoided?
Where does the primary thesis for this investment come from? Was it peddled on a news channel/social media post or did it come into your radar as a consequence of independent research?
Is the investment being done due to Fear of missing out on positive price action momentum?
Can the investment qualify as a case of Catching a falling knife?
If you're exiting an investment because it has fallen significantly/sharply, is it because something has changed fundamentally about the business or its future earning potential?
How does the stock fit into the overall portfolio? How much do you own of that sector/country already?
Staying on track
Does the latest Quarterly earnings report validate or invalidate your investment thesis?
Does the latest Annual report provide you any material information that could validate or invalidate your investment thesis?
Does the latest Investors call or management interview provide you any material information that could validate or invalidate your investment thesis?
Step-by-step guide on how to re-materialize demat units of mutual fund.
There can be some disadvantages and inconveniences for having the mutual funds in dematerialized (aka demat) form.
Some of these are
Difficult to change the investment platform or DP (Depository Participant)
Vendor lock-in, where you are locked to the brokerage platform and its subset of functionalities.
You will have to pay various charges like annual charges, depository charges etc.
Often, you might find it more cost effective to sell your demat holdings through your broker, and re-buy units in non-demat mode in same fund's direct plan; than going through this process.
You should consider the alternative course of action and estimate your costs for both these processes.
Below steps will help you to understand how to convert your mutual funds in demat form.
Get 2 copies of Re-materialization Request Form for re-materialization from DP for each ISIN (International Securities Identification Number) / scrip / mutual fund.
Submit the form signed by all the holders along with SOA (Statement of Account), Self attested address proof and PAN to the DP.
DP does the verification and process the request.
RRN (Re-materialization Request Number) is generated for tracking.
On confirmation of details provided, the corresponding accepted balance in the BO’s (Beneficiary Owner) account is reduced from that ISIN balance in the BO’s Account.
The AMC / RTA sends the SoA/certificate in physical or electronic form directly to the Registered Owner.
Charges for re-materialization may apply (as decided by the DP).
Partial conversion may not be possible.
Re-materialization of lien-marked units cannot be done.
A bond is an instrument of indebtedness of the bond issuer to the holders.
A Bond is a contract, between an entity taking the loan (issuing the bond) and another entity providing the loan. It denotes the indebtedness, and captures the necessary information on how much to pay back, and when.
Companies that need capital (fancy way of saying access to large sums of money), can issue bonds. Central banks, like RBI or Federal Reserve or Bank of England, can and do issue bonds. Govt. of a country (GOI, for example) as well as state governments, can also issue bonds. Bonds are market-linked securities, just like stocks. Not unlike stocks, bonds also trade daily in exchanges (often called "secondary markets") such as NSE / BSE etc.
A company issues bonds to raise capital from the capital markets. It helps with their immediate need for cash. Which they would invest in growing their business. The belief here is they can generate much higher return than it'd cost to pay interest on that loan raised through bonds. Central banks, governments etc. do it for similar reasons as well; but instead of business growth, they're more focused on controlling flow of money within economy and issuing bonds in capital markets is how they start. The buyer of bonds is getting interest on money lent out against bonds.
Is currency a bond?
You might think that 10 rupee note in your pocket is a bond issued by RBI, because it clearly has the signature of RBI Governor, and some legalese printed on that. No, it's not a bond. Currencies are not bonds, even if they're issued by central banks.
Bonds were government debt instruments issued by the governments to finance government spending as an alternative to taxation. The first issued bond can be traced to Mesopotamia in around 2400 BC. The bond was backed by grain similar to how modern era secured bonds are backed by assets, as was customary of the time. Failure to repay the bond resulted in forfeiture of this surety. The staple currency in the era was corn. As loans were primarily taken to finance growing crop or herding cattle, interest payments were made in the form of the harvests of said crops. Over time silver became the dominant currency due to the perish-ability of other commodities. The modern form of bonds came to life when European merchants started lending to the aristocracy to fund sovereign spending.
Bonds can be issued by Governments (sovereign entities) or by corporates. Depending on that a lot of things will vary, including how risky the bond is but there are some things to keep in mind while looking at bonds which we will talk about in more depth as we progress in the series.
Coupon is simply the rate of interest that the bond will pay out throughout its life. Depending on the type of the bond this can be fixed from the date of issue or keep on varying. Payment dates too can vary.
It is the rate of return. How does this differ from the coupon? Simply put not all bonds give out interest, some bonds instead are sold at a discount and you get a higher value back at maturity. Think of it like a cumulative FD if you may.
Yield to Call
A call option is a special provision in some bonds where the bond issuer has the special right to immediately pay off the bond. Think about how you might want to pay off a loan after getting a promotion with a large hike. Quite often a bond that offers a yield much higher than average will be "called" so it is prudent to check both the yield to maturity (yield which you will get if held till maturity) and yield until the date when the issuer has a right to call the bond. As an addendum there is another feature in some bonds called a put option which is the reverse ie it lets the bond holder force the issuer to pay the money back early, a premature FD closure if you may.
As mentioned earlier not all bonds are made equal. Some bonds are riskier than others, this risk can be estimated by a "credit rating" which is a score that indicates how risky a bond is.
Bonds that are issued by private and public corporations are known as corporate bonds.
In the previous module we learnt about bonds issued by government but governments are not the only entities that raise debt through bonds. Bonds that are issued by private and public corporations are known as corporate bonds. Companies may issue debt to raise money for a variety of purposes for example to raise money for a new plant and these bonds act as a way for people to lend money directly to the company.
If you have compared fixed deposit rates at various banks, you would have noticed the big three (SBI, HDFC, ICICI) tend to have lower interest rates on their fixed deposits when compared to smaller players. The other end of the spectrum tends to be small finance banks which tend to offer a good 3-4% over what a major bank would offer. This parity in rates is due to risk and the same applies to bonds issued by companies. Bonds issued by a robust bluechip company has a much lower chance of default than one issued by a shakey unprofitable smallcap.
There needs to be a way gauge this risk and that is why we have something known as a credit rating. Credit ratings are like your CIBIL scores, just for companies. Broadly speaking there are:
CRISIL Limited
India Ratings and Research Pvt Ltd
ICRA Limited
CARE
Brickwork Ratings India Pvt Ltd
SMERA Ratings Limited
Infometrics Valuation and Rating Pvt Ltd
Generally, speaking a company issuing debt will get themselves rated by one or more of these agencies and they will issue a grade to their company based on the category. There is a separate rating and rating scale for each type of debt issued - long term debt, short term and FDs (there are more subcategories but we will limit ourselves to the three main types).
As the names imply each rating is tailed for the specific type of debt security issued. Each rating agency has their own scale which is publicly available but most ratings go from AAA (safest) to D (default) with BBB being the lowest possible grade for investment grade debt (Colloquially, AAA is commonly used but short term debt is usually rated from A1 to D where A1 is the equivalent to AAA). Any debt with a rating less than that is considered to be junk debt and often will not get investments from pension funds, some mutual funds, etc due to guidelines by their regulators. Colloquially, some bonds are considered to "pseudo SOV rated". These are generally bonds issued by PSUs and PSBs and there is an assumption that the government will recapitalize these entities incase of a default. There is some merit to this argument but it is prudent to assume some risk as there is no guarantee that requirements the government to bail out bond holders.
While a useful metric to analyse the overall risk, it is important to note that these ratings are merely a reference and taking these ratings at face value can backfire and history has several examples of this - the meltdown of AAA rated Mortgage Backed Securities (MBS) during the 2008 financial crisis.
There are a couple of types of debt based securities that companies can issued and these have different consequences both for the company and the investor.
Corporate Fixed Deposits are similar but not the same as bank deposits in that they are not market based securities. Similar to how you would do in a bank you can deposit a variable amount of money for a duration of your choice provided by the company. Unlike a bond these are not market based, which means liquidity is provided entirely by the company. If you want to exit a traditional bond then you can do that at any time by selling the security in the secondary markets ie the exchanges NSE/BSE through your broker (though you might end up selling for a discount if there isn't enough liquidity). This is not possible with a corporate fixed deposit as these are not listed, if you want to get your money back early then you need to go through their early withdrawal process which may have a penalty of 1-2% on the interest.
Furthermore, it is very important to note that corporate fixed deposits are not backed by RBI and DICGC's 5L insurance and if the company goes insolvent then there is a risk of default and the only option for you would be either to sue or wait to get your proceeds from any resulting liquidation process. The "reward" for taking this is risk is usually a much higher rate of interest over bank fixed deposits.
In terms of taxation, these are taxed similarly to bank FDs and tax is deducted at source unless you provide a 15G/H form if you're under the tax slabs.
Non‐Convertible Debenture is a financial instrument issued by Corporates for specified tenure to raise funds through public issue or private placement. The non convertible in the name implies that the debentures are not convertible to equity (some types of convertible debentures can be swapped for equity shares for example). These can be issued by Companies, including Non-Banking Finance Companies (NBFCs) or any corporate bodies worth more than ₹100 crore that are permitted to issue debt by the Reserve Bank of India. Furthermore, these issuers must be rated by at least one Credit Rating Agency(CRA). If they plan to issue ₹1000 crore or more in debt they must be rated by two CRAs. The minimum credit rating must be atleast A3 for issue.
Unlike a fixed deposit these are listed securities and investors can exit their investment by selling the debentures on the markets. As with any market linked securities these can suffer from changes to interest rates ie a rise in interest rates can make your NCBs to be worth less and vice versa. There can also be a spread (ie if the debenture is worth ₹100, sellers might want 104 while buyers offer only 96 which means you lose money both to enter and exit) due to a lack of liquidity in the market for the particular instrument. As with any corporate instruments, NCDs, are not backed by RBI and DICGC's 5L insurance and if the company goes insolvent then there is a risk of default. There are two types of NCDs:
Secured: Investors can claim the company's assets incase of a default
Unsecured: Investors can't directly stake a claim on the company's assets
In terms of taxation if NCDs are sold within a year or lesser STCG will be applicable as per the income tax slab rate. If the NCDs are sold after a year or more or before the maturity date, LTCG will be applicable at 20% with indexation. For those in higher tax brackets these may be superior to holding FDs.
Bonds are a financial instrument issued by Corporates for specified tenure to raise funds. These are most part very similar to Non‐Convertible Debentures however with some key differences
Bonds are generally issued by larger, public corporations whereas NCDs can be issued by unlisted corporations as well
Bonds are usually secured and furthermore incase of an insolvency proceeding, bondholders are higher in the line of recovery ie if there are sales of the company's assets bond holders will be the first to get their money followed by NCD holders (then commonly preferred shareholders and finally regular equity holders who are the last ones to get if anything is left by then).
Due to the lower risk nature of bonds compared to NCDs, NCDs will have a higher yield than their Bond equivalent.
Capital Gain Bonds (54EC Bonds)
While not strictly a sub category of debt, these are bonds that relevant to Real Estate investors as they are a way to gain some respite from capital gains taxes. Do note we will not go in depth into the exact details of how capital gains works in case of property but this section applies on all the gains after brokerage, indexation, expenses, etc are subtracted from the sale price. This final capital gains amount can be then invested in these 54EC bonds as a way to avoid the tax burden. To be eligible for this exemption there are three key requirements
The amount you invest should be sourced from the gains you have from the sale of property
The amount should not exceed 50 lakhs for individuals or 50L per partner in a real estate business
Investment shall be made within 6 months of date of sale or filing of your IT return
Currently, three companies issue bonds under this category and you can invest in them through your bank.
REC (Rural Electrification Corporation Ltd)
PFC (Power Finance Corporation Ltd)
NHAI (National Highways Authority of India)
The key details to note about these bonds are
As of today, all 54EC bonds are AAA rated PSUs (which are partially divested by the Government)
TDS is not deducted on interest from 54EC bonds and they are exempt from Wealth Taxes
They are issued with a lock-in period of 5 years
Minimum investment in 54EC bonds is 1 bond amounting to ₹10,000
How can we use various screener websites to our advantage and analyze stocks
The author(s) of this section does not hold any position (long or short) in any of the companies used in this section at the time of writing this. The purpose of using these companies is purely illustrative and educational in nature. Mention of any company in this section is NOT financial advice.
The screens run in this section are purely for educational and illustrative purposes. The results of queries run in this section are NOT stock recommendations. The screens themselves are NOT financial advice.
The watchlists in the screenshot of this section are NOT the author(s) actual watchlist. They are just resultants of arbitrary screens run for illustration and educational purposes. Stocks under these screenshots are NOT stock recommendations.
The author(s) of this section did not get incentivised for recommending or not recommending any websites/tools/products mentioned in this section.
Don't trust numbers reported on any screener at their face value, always verify the numbers shown. Since calculations are done based on one-size-fits-all formulaes, factoring in nuances in input values is not possible. The methods of calculating these numbers may vary between different websites. Sometimes, the numbers can even be absurd and the methods used in calculating them can differ from generally accepted definitions. Making investment decisions solely based on the reported idea can be extremely risky.
As of December 2020, the number of actively traded listed companies are nearly 4200 on the Bombay Stock Exchange (BSE)^1, and nearly 1800 on the National Stock Exchange of India (NSE)^2. This absolute abundance of companies to choose from makes the task of creating a watchlist challenging.
Fortunately, there are tons of screeners available, that can filter through these listed securities to build a universe of companies based on constraints set by an investor. These constraints can be,
based on financial criteria set by an investor
based on alternate market data based criteria set by an investor
based on circle of competence of an investor
In India, there are many screeners available to you for free. Some of these screeners stand out with distinct use cases, so it makes sense to use different screeners as per the need of the hour. These are,
Tijori differentiates itself from other screeners by providing company's alternate data (financial or operational information that is typically beyond the scope of a company's stock exchange filings), such as market share of its products, or number of stores the company operates. It also has some neat features, such as a macro page to track economic indicators, sector indices, and sector-based market data. However, the platform has moved to a paid subscription-based model. Whether it's worth for you is going to be a personal call.
Tickertape has a friendly interface for beginners, and explains relevance of figures presented in financial data. However, this is a double-edged sword, a screener's commentary on figures can eliminate its neutrality as a tool, and induce bias.
Screener's interface/feature set is mostly neutral and thus doesn't introduce a lot of bias. The screening itself is more flexible/comprehensive than most other screeners (maybe barring Tijori), and allows exporting financial data to an excel sheet (you can customize the sheet's template!). However, the interface can be slightly overwhelming for beginners, and some data that is freely available in annual reports, or other screeners is behind a paywall.
Trendlyne aggregates research reports for a company, and you can usually find audio files of conference calls held by a company about a day after being conducted. However, the actual screening is limiting, and the interface is not the most intuitive of the bunch.
The two primary reasons we chose Screener (capital S will refer to screener.in subsequently) for illustration purposes of this section are,
Screener doesn't induce simplification, nudges, or potential biases.
We would recommend you to start building your own excel sheet for financial data once you're comfortable. Screener's Export to excel feature and the ability to customize the sheet's template helps as a transitional step towards that.
You can land to a company's page on Screener by using the search bar located on the top right of any page. Once you are on a company's page, you will find,
You can find quick access to frequently sought information here such as,
links to company's official website, NSE page, and BSE page,
market information (market cap, current price, shares outstanding), and key ratios (you can customize this to your liking!),
a short outline/history about the company,
an option to export the company's financial data to an excel sheet, and
the ability to add the company to your watchlist (more on this later)
You can check financial graphs for a company under different timeframes in this section. There are a few options,
Price line chart with volume and a couple of daily moving averages.
Price to Earnings (P/E) line chart with trailing twelve months (TTM) Earnings per share (EPS), and a line indicating the median P/E for the selected timeframe.
Quarterly sales chart with gross profit margins (GPM), operating margins (OPM), and net profit margins (NPM) for the respective quarters.
Though the charts here are good enough to serve their purpose, they are not as customizable, or comprehensive compared to other tools available, such as TradingView.
This section can safely be ignored, as it lists pros and cons of a company based on some ratios. You might find your unbiased conclusion to be different from conclusions listed here, so shortcuts such as this section in a screener can induce potential bias in your investment decisions.
This is where things start to get interesting! You can compare a company to its listed competitors in this section, on the basis of financial data selected by you --- say you want to check how a company's operating margins stack up against that of its peers to determine if its products have pricing power, or say you want to check if the company's quarterly results are in line with the sector --- you can do this here.
Don't let the ratios used in the screenshot above overwhelm you. We've covered tons of them under our Financial Ratios section if you haven't checked it out already. You can add, remove, or change the order of ratios shown here by clicking on the 'edit columns' button.
If you click on either the company's Sector or Industry, you can look at the complete directory of the company's listed competitors (in the peers section, screener only shows you a few).
You can also use the 'Detailed comparison with' option to get a head to head comparison of the company with one of its peer if you have a paid subscription.
If you're unsure what to look for, don't worry! We've covered how to compare a company to its peer in 'Researching a sector' and 'Reading and Annual Report' chapter of this series.
You can find the past few quarters' standalone & consolidated profit and loss (P&L) data in this section.
There's an option to view the revenue, profit, and return on capital breakup based on product segments and geographical segments for paid users, but you can get this data free of cost from the company's quarterly earnings reports.
This section gives you past ten years & trailing twelve months (ttm) financial data from profit & loss (P&L) statements of the company, in both standalone and consolidated figures, for easy comparison --- for instance, to check the trend of operating margins (OMP) over the past few years, or to check interest on the company's debt it pays each year.
Again, there is an option for paid subscribers to view the revenue, profit, and return on capital breakup based on product or geographical segments, but you can get this data free of cost from the company's annual reports.
Below the P&L data table, this section shows you compounded sales, profit, & stock price growth, and average return on equity over the past 3, 5, & 10 years, and the trailing twelve months (TTM).
We've covered how to read a profit & loss (P&L) statement and related financial data under our Financial statements chapter of this series.
This section gives you the past ten years of financial data from the balance sheets of the company, in both consolidated and standalone figures, for easy comparison --- for instance, you can compare the company's debt over the past few years, or check how much cash the company holds.
There's also a handy option to check details of past corporate actions (this data goes back up to 2005) taken by the company, such as buybacks, distribution of dividends, allotment of bonus shares, stock splits, mergers, and rights.
This section gives you past ten years of financial data for cash flows of the company, in both consolidated and standalone figures, for easy comparison --- for instance, you can check cash outflows due to distribution of dividends by the company to its shareholders, or compare changes in working capital the past few years.
Figures for Free Cash Flows (est.) are unfortunately missing here, but can be calculated as shown in [Financial statements](https://www.indiainvestments.wiki/stocks/reading-an-annual-report#financial-statements chapter of this series.
You can find return on capital employed (in %), debtor days, and inventory turnover of the company for the past few years in this section. This section could be ignored, as it is recommended you calculate these and many other ratios yourself while conducting due diligence for company, as explained in Financial ratios chapter of this series.
You can find the shareholding pattern of a company's promoter entity, and distribution of its shareholders between promoters, foreign institutional investors (FII), domestic institutional investors (DII), government entities, and retail shareholders for the past few quarters here.
Screener also allows you to view other listed companies held a shareholders of the company. For example, if you click on Life Insurance Corporation of India in the screenshot above, you'll find a list of other public companies held by LIC.
This section gives you quick access to recent stock exchange filings and annual report of a company. As far as I've observed, they are usually linked to BSE's repository. Apart from stock exchange filings, Screener also provides links to credit rating reports of a company here.
Now that we have some understanding of a company's Screener page, let's move on to more interesting things.
As remarked earlier, there are thousands of companies listed on the Bombay Stock Exchange, and the National Stock Exchange of India. We use screeners to make sense of this abundance of companies to choose from, based on criterias set by us. Primarily, Screener allows us to screen companies based only on financial data (you can however filter companies based on industries, so there is some form of a screening option to confine companies based on your circle of competence).
To screen companies on Screener, click on screens page at the top. You can find your previously saved, and some popular screens here.
Click on the Create new screen button. Here, you want to start adding your constraints, with the keyword AND
separating them.
Suppose you want to get a list of companies with fairly large market cap, decent growth in revenue and earnings in the past few years, consistently good return on capital, and low debt. Syntax for this query would look something like this,
This query gives us a list of public companies and some ratios (customizable using the edit columns button) that match the financial constraints we've put. You have the option to save a query for conveniently running it again (it can be located at the screens page from the top).
If you find a financial ratio missing from the set available by default, Screener allows you to manually create your own here. For example, to create a ratio for P/FCF, you can fill in the following information ---
The ratios you create can be added to Peers comparison section of a company's page, or on results returned by a query.
You can add a company to your watchlist by following it from the company's page. There are a couple things you can do with your watchlist. One, you can view it as a query and manage it here, and two, keep track of the company's filings on Screener's home (feed) page. On the left part of this page, you can see latest filings submitted to stock exchanges by the companies you have in your watchlist. On the right, you can check when the upcoming results of companies you have followed are expected.
You can export a company's financial data to a spreadsheet using the 'Export to excel' option available on the top of any company's Screener page.
More importantly, you can set up a custom template for excel sheets downloaded by the 'Export to excel' option. To do this,
First use the 'Export to excel' option for any company -- it doesn't matter which one. Then, open the excel sheet and go to the 'Customization' tab. It should look something like this.
Delete everything on this tab. This is now a blank slate to put everything you want to see in your custom template. Use the financial data from other tabs of this excel sheet for calculations done in this tab. For ideas, you can refer to Financial statements and Financial ratios chapters in this series and see what is missing on Screener by default.
For illustration purposes, I've used this tab to find estimated free cash flows of a company over the past few years. Free cash flows are calculated as FCF = Cash flows from Operations - Capital expenditure
. I've used cash flow from operations
data from the cash-flows tab of this sheet, and calculated capex
using fixed assets
and capital work in progress
from the balance sheet tab & using depreciation
from the profit and loss (P&L) tab of this sheet.
Now, save this excel sheet, and upload it here. You can always upload an updated sheet with more customization done later using the same page.
All done! Try using the 'Export to excel' option for a different company -- you will find your custom ratios for this company added in the customization tab automatically.
If you're up for it, try running various stock picking strategies as a screen! Here are a few you can try,
Joel Greenblatt's Magic Formula, an investment technique explained in his book -- The Little Book that Beats The Market^3.
Benjamin Graham's net-net investing, in which a security is valued solely on the basis of its current assets^4.
Rob Kirby's Coffee Can investing, popularized by Saurabh Mukherjea's book on the subject^5
Dividend Yield Investing, popularized by investment newsletter publisher Investment Quality Trends, known as IQT^6
Intro to excel calculators and spreadsheets, and how to use them for your finances
What’s the most popular programming / coding language in the world?
Hint: It’s not Java or Python or JavaScript or C or C++ or whatever Tiobe index has it on top these days. Nor is it HTML, nor CSS, for that matter.
It’s Excel formula! Or simply, just excel. Per estimate, 99% of automation out there, have been written in Excel’s inbuilt programming paradigm.
Excel as a language gives you powerful primitives, that are easy to pick up, and one can start using on real world datasets, to address real needs every type of businesses face.
Most of you’ve guessed it already, but for the sake of clarity, we should explicitly mention it - Excel, the programming language; is different from Microsoft’s MS Excel application. Excel, the programming toolkit, is the core engine of Microsoft Excel.
But there happens to be other applications as well, which offer Excel functionalities - Google Sheets, for instance.
In this series, we cover how you could harness this power for yourself.
Before you hope to be a DIY investor, you need to be comfortable as a DIY excel user.
No more asking others to share their pre-built excel calculator templates, to track your monthly budget or compute XIRR of your stock portfolio.
You’ll feel empowered to build these on your own, from scratch; and maintain or update the same.
Familiarity with Basic Math
You don’t need to be a programmer or software developer in your day job.
If you know some basic Math, like addition / subtraction / multiplication / division; it’s good enough.
Access to Google Sheets or MS Excel
Excel as a language is fantastic, and if you can afford an Office 365 license, great for you.
But most of us cannot or wouldn’t want to. Google Sheet supports most Excel functionalities as is, that we’d cover here.
If you’ve a Google account or G-Suite account; you can use Google Sheets for free.
LibreOffice has its own implementation, called Calc. It would most likely work as well but we cannot confirm this.
On Mac OS X and iPhone / iPad, Apple Numbers app should be fine too.
In this series on excel, we'll stick to using Google Sheets. There'll be some chapters where we'll explicitly call out how to do something specific, in MS Excel. But most of the series would focus on using one single tool - Google Sheets.
Access to a desktop / laptop / workstation is preferable
It’s not a hard requirement; that without it, you won’t be able to proceed at all.
But given this is a bit programmable in nature, having access to more real-estate on your screen is desirable.
It isn’t as if you cannot do without it, but you’d have a better time if you could get your hands on a laptop or desktop or even a workstation.
This corner of our wiki is bit different. It's much more hands-on, than other series and topics on our wiki.
It requires your active involvement and practice. Just like you cannot learn swimming reading a book on swimming, if you don't pause and practice, this series would be of no use to you.
Reading passively is comfortable consumption. Practicing and exploring is active assimilation.
We expect you to read small bits of text, and try that out in the excel sheet or spreadsheet at the same time. In fact most of your time should be spent playing around with formula and functions, compared to reading content from this series.
However, we're also mindful of the fact that it'd involve context switch. It's no mean task having to read, then switch to a spreadsheet, then come back again to read next paragraph or section.
Hence we recommend this setup as shown below
That is, split your screen in a way that the wiki is on your left, and your spreadsheet or excel window is on your right - both visible and accessible at the same time.
If you've a multi-monitor setup with external displays, even better.
You don't have to follow this exact setup. Maybe you've other preferences. But we do recommend giving it some thought, that you remove the constant frustration of switching between tabs.
As you progress throughout the series, you'd notice we've images and videos, to explain and guide you through each step; in addition to textual steps.
For images, we provide both dark and light mode images, for same screenshots.
Most blog posts / articles you'd read, would have either dark mode, or light mode images. It's optimized for the author of the piece (i.e. if author is used to dark mode, you'd get dark mode; and vice versa).
We provide both, because we believe this should be optimized for consumption. That is, if you prefer reading a piece in light mode, you should be able to zoom in and view the light mode version of the image. And if dark mode is your thing, the dark mode image is the one you can zoom in, to check closely; by clicking on the respective image.
We'd ideally want to make only the right image visible, depending on your screen's theme (light or dark), and not both. But our present content hosting service doesn't support dynamically hiding specific set of images, so we'll explore this only in the future.
Regarding videos, we'll be using our own YouTube channel to host these videos.
We've looked into various video hosting providers, and nothing comes close to YouTube in terms of richness of the offerings. YouTube is also optimized for low network consumption across the planet, and the de-facto video consumption platform that everyone is familiar with.
We've disabled interest-based ads, also known as targeted or personalized advertising, on our YouTube channel as we are a non-commercial project, and we've no plans of monetizing this content.
All of our videos on YouTube for this series are unlisted at the moment, and not easily discoverable through a public search on YouTube.
Unfortunately, it looks like we cannot disable ads completely on our YouTube channel. This seems to be a limitation of YouTube. YouTube as a platform, reserves all the rights to display ads in our videos hosted on YouTube.
If you don't want to watch personalized ads on YouTube, we recommend changing your privacy settings on your Google Account. If you don't want to watch ads while browsing our videos, you may consider buying a YouTube Premium subscription.
To be abundantly clear, this is not a guided tutorial on MS Excel or Google Sheets. There are plenty of those available, that have much more depth; if you just google or search in YouTube.
This series is all about learning enough excel to be dangerous, and applying it to your finances.
In addition to these, we won't be providing ready-made excel sheets or spreadsheets.
Why?!
To understand this, you must first understand how Egyptian pyramids look like to humans of this era.
We know when these were built, where these stand etc.
However, we don't know how these were built many thousand years ago (to put it in perspective, mammoths still roamed the earth when some of these were being built).
Not knowing how something was built, only makes the end product feel more magical and complex. It'd feel daunting if we had to build one like that. And our immediate knee-jerk reaction would be to accept it's beyond us to achieve the same feat.
Some might even skip the lesson and just reach for the ready-made ones.
To avoid this exact problem, we'd strive our best to not provide ready-made excel sheets or spreadsheets. We're more interested in demonstrating with step-by-step guide how to build a useful spreadsheet or excel sheet yourself.
Efficiency Ratios, also known as Activity Ratios, help investors evaluate the efficiency with which a business is able to use its assets to generate revenue.
One of the most basic operational aspects of a business is generating sales using its assets. We can measure the efficiency of this operational aspect using the asset turnover ratio which can be defined as
We’ll consider the average of the total assets during a financial year to account for potentially abrupt changes in total assets due to unusual events like sales of fixed assets, increase in goodwill etc.
Asset Turnover Ratio is one of the components in the DuPont Identity we used to calculate the Return on Equity in the Profitability section.
As we’ve mentioned before, it wouldn’t make sense to compare ratios between companies in different sectors. FMCG companies usually enjoy high asset turnover while asset heavy companies and financial institutions don’t.
The total income of Hindustan Unilever Ltd for the year 2019 is ₹39,860 crores
and the average total assets are (₹18,629 + ₹17,862)/2 = ₹18,245.5 crores
. The asset turnover ratio of Hindustan Unilever for the year 2019 is ₹39,860 / ₹18,245 = 2.18
. In contrast, the asset turnover ratio of Nestle India for the year 2019 is 1.66
. If we observe the past 5 year trend, Hindustan Unilever has had an asset turnover ratio of greater than 2 while Nestle India has had an asset turnover ratio of greater than 1 but less than 2. Using this information, we can infer that Hindustan Unilever is possibly more efficient at generating revenue from its assets than Nestle India.
The asset turnover ratio of a company can get skewed due to a number of unusual events such as asset sales, issue of additional shares, investment into assets for long term growth, deliberately increasing inventory to meet demand etc. It’s best if we look at a trend of how asset turnover ratio has been in the past 5 years before jumping to conclusions. Let’s consider the financial statements of Avenue Supermarts for the year 2020.
The asset turnover ratio of Avenue Supermarts for the year 2019 is 3.16
. However, due to issue of additional shares and the investment of the capital gained into non-current financial assets, the asset turnover ratio drops to 2.61
in the financial year 2020.
Although we’ve seen what asset turnover ratio is, we can go ahead and refine it further to get a more useful metric. Instead of considering total assets, we’ll now consider only the non-current, or fixed, assets of a company to calculate the Fixed Asset Turnover Ratio. Why not consider the current assets? Well, most companies and sectors where asset turnover ratios are relevant often invest in long term assets to generate sales. We’ll focus on current assets in the working capital and cash conversion cycle.
We can define fixed asset turnover ratio as
The fixed asset turnover ratio of Hindustan Unilever Ltd for the year 2019 is ₹39,860 / ((₹6,715 + ₹6,202) / 2) = 6.17
while that of Nestle India for the year 2019 is 3.82
.
The efficient management of inventory is one of the key operational aspects of a business, especially in cases where making forecasts about inventory is essential to prepare a business for seasonal effects. The sales projections of a business depend upon how efficiently inventory is managed.
One of the metrics that can help businesses make better decisions about pricing, manufacturing, and purchasing inventory is the inventory turnover ratio. This ratio tells us how quickly a business can replace its inventory by turning it into sales. It’s a measure of how many times a business can sell its entire inventory in a specific time period.
We can define the inventory turnover ratio as
We’ve already defined COGS when we discussed gross profit in profitability ratios. The average inventory is simply the average of the inventory at the start and at the end of a financial year.
Although we could’ve used Net Sales
in the numerator instead of COGS
, it would’ve ended up artificially inflating the inventory turnover ratio. After all, the costs associated with the inventory in the balance sheet does not include the potential markup in prices due to profits earned.
Generally, high inventory turnover ratios indicate that a company is able to sell its inventory quickly and generate sales, which is reflected due to changes the numerator, but it can also indicate that a company is running low on inventory which might be needed to fulfill obligations and generate sales. In any case, inventory turnover ratio is extremely useful in sectors like FMCG, supermarkets, automobile etc.
Let’s compare the inventory turnover of two supermarket businesses — Avenue Supermarts and V-Mart Retail.
The COGS of Avenue Supermarts for the year 2020 is ₹21,441.68 - ₹338.75 = ₹21,102.93 crores
and its average inventory is (₹1,947.40 + ₹1,608.65) / 2 = ₹1,778.02 crores
. This gives us an inventory turnover ratio of ₹21,102.93 / ₹1,778.02 = 11.8
.
The COGS of V-Mart Retail for the year 2020 is ₹1,275.20 - ₹148.93 + ₹11.47 = ₹1,137.74 crores
and its average inventory is (₹477.92 + ₹328.98) / 2 = ₹403.45 crores
. This gives us an inventory turnover ratio of ₹1,137.74 / ₹403.45 = 2.82
.
Although both Avenue Supermarts and V-Mart Retail are supermarket businesses, their revenue sources are different. V-Mart Retail derives about 80% of its revenue from apparels while Avenue Supermarts gets less than 27% from apparel. How about we compare Avenue Supermarts’ inventory turnover ratio with Reliance Retail?
The COGS of Reliance Retail for the year 2020 is ₹2.99 + ₹1,22,745.81 + ₹1,941.48 + ₹135.62 = ₹1,24,825.9 crores
and its average inventory is (₹9,583.11 + ₹11,493.53) / 2 = ₹10,538.32 crores
. This gives us an inventory turnover ratio of ₹1,24,825.9 / ₹10,538.32 = 11.8
.
Now that we know how to calculate the inventory turnover ratio, we can calculate the average time in days that it takes to turn inventory into sales. This metric is known as Days Sales of Inventory (DSI). It is also known as Days Inventory Outstanding (DIO). DSI can be calculated using the following formula
For Avenue Supermarts, the DSI turns out to be 365 / 11.8 = 30 days
. For V-Mart Retail, DSI is 365 / 2.8 = 129 days
.
Generally speaking, lower the DSI, the more efficient a company is in translating inventory to sales. However, this may not always be the case. Sometimes, companies need to pile up inventory due to seasonal effects or to take advantage of product shortage and sell the inventory at a higher price later.
Solvency Ratios help investors evaluate the competence of a company to meet its long term debt obligations. Liquidity Ratios are used to evaluate the ability to pay off short term debt obligations.
The Debt to Equity ratio tells us how much a company’s debt weighs against its shareholders equity. It gives us an overview of a company’s capital structure by measuring the amount of employed debt against equity.
The Debt to Equity ratio can be defined as
We’ll consider total debt as the sum of financial obligations which bear interest and lease liabilities. This includes current and non-current borrowings, lease liabilities, current maturities of long term debt and lease obligations, and any other liabilities that can bear interest. We will NOT consider trade payables, provisions, and deferred tax liabilities for calculating the total debt. Keeping this in mind, we can define total debt as,
We can also restrict total debt to non-current borrowings and other interest bearing non-current financial obligations only depending upon the company we’re analyzing. In such cases, we’re primarily concerned with the non-current financial obligations of the company in comparison to the shareholders equity.
We’ve already defined shareholders equity before as total assets minus total liabilities. It can also be found on the balance sheet in an annual report.
Let’s consider the balance sheet of an infrastructure and construction company — Larsen & Toubro.
The total debt can be calculated as ₹35,021.02 + ₹23,654.77 + ₹82,331.33 + ₹1,741.6 + ₹424.95 = ₹1,43,173 crores
. The Shareholders Equity is ₹280.78 + ₹66,442.44 + ₹9,520.83 = ₹76,244.05 crores
. This gives us a debt to equity ratio of ₹1,43,173 / ₹76,244.05 = 1.87
.
Although we’ve included lease liabilities in our calculation, not being able to pay lease obligations may not have the same impact as not paying loan obligations. We can exclude lease obligations from the numerator to get a debt to equity ratio of 1.84
.
A debt to equity ratio of 1.87
tells us that for every ₹1 in shareholders equity, Larsen & Toubro has ₹1.87
in debt.
Usually, a higher value of debt to equity ratio indicates higher insolvency risk compared to another company with a lower value. Although this may be correct but the assumption that comes attached — a company with a higher debt to equity ratio is unequivocally not going to stay solvent - isn’t always true. This is because a company’s financial ability to cater to its debt obligations needn’t be stuck solely in shareholder’s equity.
As we’ve said before, ratios are meaningless when looked at in isolation. Let’s calculate the debt to equity ratio of another construction company, Reliance Infrastructure Ltd.
We’ve showcased Note 11(d) from Reliance Infra’s financial statements because it contains figures for the premium payable to National Highways Authority of India (NHAI). According to this ET article, NHAI premiums are payments made by construction companies to NHAI in build, operate, and transfer (BOT) projects. We’re considering NHAI premiums as a component of total debt.
The total debt can be calculated as
₹11,758.86 + ₹2,541.37 + ₹2,765.28 + (₹272.31 + ₹2,206.92) + ₹13.98 + ₹67.61 = ₹19,626.33
and the shareholders equity is ₹11,621.82 crores
which gives us a debt to equity ratio of 1.68
.
Note that comparing the debt to equity ratio of companies from different sectors or industries isn’t helpful and often misleading. Simply put, different sectors, or industries, have different operational and financial aspects. IT companies are generally cash rich and don’t require a lot of capital compared to construction companies so it makes sense that the debt to equity ratio of IT companies would be lower than that of banks & non-banking financial companies (NBFCs) whose business model depends entirely on borrowing money from one entity and loaning it to another.
Another thing to keep in mind is that companies at different stages of their business cycle may have varied debt to equity ratios, so comparing their values may not be perfectly intuitive. One company may be in its expansion stage while another may be focusing on winding down its debt. Companies of different scales may also yield varied debt to equity ratios. This is because cost of debt is often dependent on a company’s size and can affect a company’s decision to take on more or less debt.
Profitability Ratios, also known as Performance Ratios, help investors evaluate the ability of a business to generate profit considering its sales, assets, and shareholder's equity.
There are three major types of profits -
gross profit
operating profit
net profit
Each of them are significant in their own way.
Gross Profit is the amount of money a company earns after deducting the costs directly associated with producing their goods/products/services from the revenue. These costs are collectively known as Cost of Goods Sold or COGS.
How do we define COGS though and what do directly associated costs mean? Interestingly, the answer can vary depending upon the company we're looking at. Let's look at some examples.
For a capital intensive company like Motherson Sumi which deals with a lot of tangible raw materials, it should be expected that the cost of materials consumed would be relatively high. Purchase of stock-in-trade measures the expenses incurred in buying products used as intermediates to create the finished products sold by the company. Change in inventories of finished goods, work-in-progress, and stock-in-trade, as the name implies, are the expenses incurred on creating the products left in the inventory of Motherson Sumi at the end of the financial year 2020.
These costs can be considered directly associated with creating the end product. Expenses like the finance costs or depreciation & amortization aren't directly related to the creation of the end product. We can ask the following question to think whether an expense qualifies as COGS — would this expense have emerged even if no sales were generated? If yes, then it probably shouldn't be included in COGS.
The labor costs incurred to produce the end product are also direct costs eligible for inclusion in COGS. However, this should only include actual labor costs paid to employees responsible for creating the product, not employees in marketing or HR, for example. This is a conundrum because the notes for employee benefit expenses looks like this
We don't know the details of how much of the salary, wages, & bonus are direct costs. The details are not mentioned possibly due to competitive and logistical reasons.
We leave the decision of inclusion of employee benefit expenses in COGS up to the reader and his/her judgement which will possibly be influenced by the company in question and its nature of business. Please note that these expenses would still be reported under the operating expenses and end up getting reflected in the operating profit.
In this case, we'll consider COGS as
This gives us crores.
Since TCS is a services company, it doesn't deal with or manufacture any raw materials or tangible goods. TCS' tangible material is its software licenses and employees who provide services worldwide. In this case, the COGS would be crores.
Now that we know how to calculate COGS, we can calculate the gross profit.
Motherson Sumi's gross profit for the financial year 2020 was crores. Similarly, TCS' gross profit for the year 2020 was crores.
The Gross Profit Margin of Motherson Sumi and TCS for the year 2020 are as follows
EBIT, as the name implies, is the amount of profit a company earns before interest and tax expenses have been subtracted. It is also known as the Operating Profit. We can also strip out depreciation costs of tangible assets and amortization costs of intangible assets from the expenses to obtain the EBITDA.
The revenue from operations for the year ended March 2020 was crores. We won't consider other income here because it isn't generated from operations. The total expenses excluding taxes are crores. If we exclude finance costs (interest) of crores from the total expenses, it gives us operational expenses of crores. Thus, the EBIT in this case turns out to be crores.
You can use the following formula to calculate EBIT.
To calculate the EBITDA, we can simply exclude the depreciation and amortization expenses. The formula then becomes
In this case, the EBITDA is crores.
Why is the EBIT and EBITDA of a company relevant?
EBIT and EBITDA present us with an ideal view of the companies' core operational performance by excluding non-operational expenses like interests and taxes. While the net profit might be skewed by variables like taxes, EBIT and EBITDA will present the true picture of how much the company actually earned from its operations.
EBIT and EBITDA are influenced by the ability of the company to earn revenue and the operational expenses it incurs. The EBIT margin (EBIT in terms of % of revenue) or the Operating Profit Margin of Abbott India for the financial year 2020 was while that of Pfizer India for the same period was . Using these numbers, we can infer that Pfizer India was operationally more profitable than Abbott India during the financial year 2020. Again, keep in mind that this is just one of many data points.
Like most financial ratios and metrics, EBIT and EBITDA are best used for comparison of companies in the same sector. Comparing the EBIT margin of a MNC pharmaceutical company with that of a capital intensive auto ancillary company doesn't make sense.
EBITDA can, however, be misleading and it may not be useful, especially in asset heavy companies with significant depreciation and amortization costs. Here's what Warren Buffet has to say about EBITDA.
People who use EBITDA are either trying to con you or they’re conning themselves. Telecoms, for example, spend every dime that’s coming in. Interest and taxes are real costs.
Here's what Charlie Munger has to say about EBITDA.
I think that, every time you saw the word EBITDA, you should substitute the word "bullshit" earnings.
As the name implies, Profit Before Tax (PBT) is the amount of profit a company earns before subtracting the taxes it has to pay. Although PBT doesn't get the same amount of focus as gross profit, operating profit, and net profit do, it can still be useful in its own right. Corporate taxation laws can change and this can end up skewing the net profit that a company earns in a financial year. For example, India slashed its corporate tax rates (archive.org link | archive.is link) for domestic companies from to in September 2019. Some companies in certain sectors might also enjoy tax incentives from the government for a specific period of time. In such cases, focusing on PBT might be a good idea.
You should be able to find PBT in the profit and loss statement in an annual report.
Profit After Tax (PAT), also known as the Net Profit, is arguably one of the most important metrics in an annual report. It is what we usually mean when we ask "how much profit did the company earn?". PAT is the metric which tells how profitable a company is after all its expenses are considered and deducted from the revenue.
Like PBT, you should be able to find PAT in the profit and loss statement in an annual report.
The PAT margin, also called net profit margin, is a widely used metric to calculate and compare the ability of companies to generate profit.
For the financial year 2020, Abbott India has a PAT margin of and Pfizer India has a PAT margin of .
Unlike operating profit, note that we're using total income, which includes other income as well, to calculate the net profit and net profit margin.
Return on Equity is a widely used profitability ratio that measures how many rupees of profit are generated for each rupee of shareholders equity. It highlights how efficiently a company uses the shareholders equity to generate profits. It can be calculated using the following formula:
Depending on the source, we might find a slightly different formula for ROE.
You can calculate average shareholders equity by calculating the average of the shareholders equity at the beginning and at the end of a financial year.
One might ask — why consider the average of shareholders equity and not the total shareholders equity for a specific financial year?
Avenue Supermarts issued additional shares in the financial year 2020 to comply with SEBI regulations of bringing down the promoter holding below within 3 years of IPO. This is a one-off event which won't happen regularly. To avoid presenting skewed ROE numbers, we'll consider the average shareholders equity rather than the total shareholders equity. This gives us crores. The PAT for the year 2020 was . This gives us an ROE of .
Of course, if the difference between shareholders equity in successive financial years isn't driven by one-off events like buybacks or additional issue of share capital, considering the average shareholders equity may not be needed.
Similarly, Return on Assets can be defined as the amount of profit generated by a company relative to its total assets. We can use this metric to judge how well a company utilizes their assets to generate profits. It can be calculated by using the following formula:
Just like ROE, we can use average total assets instead of just total assets when needed to calculate ROA.
The ROE of Avenue Supermarts for the year 2020 is and the ROA is
Even though ROE is a popular metric, it's important to understand its quirks and limitations. Bombay Dyeing & Manufacturing Company Ltd, one of India's largest producers of textiles, had a ROE of in the year 2017, in 2018, in 2019, and in 2020. As you might have suspected, these ROE figures are misleading (but not incorrect). We'll attempt to showcase the limitations of ROE as a financial ratio and why it should be used with caution in cases where the net profit is negative or when the company is in significant debt.
Besides the definition that we shared above, ROE and ROA can be expressed using the DuPont Identity, also known as the DuPont Method, which breaks down ROE and ROA into several ratios and presents us with a detailed and an alternative view.
According to the DuPont method, ROE can be written as
Profitability Ratio is the PAT margin we've seen before. The Efficiency Ratio is Total Income / Average Assets
and the Leverage Ratio is Average Assets / Average Shareholders Equity
. If you observe closely, the DuPont Identity gives back the original definition we shared if we cancel out the relevant numerators and denominators from the above formula. However, by breaking up ROE into 3 different ratios, we can now know how the ROE figures of Bombay Dyeing ended up getting inflated.
Let's start with the year 2019. We can break down Bombay Dyeing's ROE as follows:
Profitability Ratio =
Efficiency Ratio =
Leverage Ratio =
Return on Equity =
The difference of may be ignored because ratios were rounded to 2 decimal places.
Although the profitability ratio and efficiency ratio (also known as asset turnover ratio) are decent, what ends up inflating ROE is the leverage ratio (also known as equity multiplier) which indicates that Bombay Dyeing's assets are mostly funded through debt rather than equity which is a point of concern.
Let's assume a hypothetical company called A Ltd. Its accounting equation looks like where assets are 10, equity is 8, and liabilities are 2. Its leverage ratio is . A Ltd decides to take on units of loan to finance its operations. The equation now looks like . The financial leverage now becomes . This would end up inflating the ROE of A Ltd but that doesn't necessarily mean that its a good thing. Taking on a lot of debt may or may not pay off. If, however, the profitability ratio and efficiency ratio increase in the subsequent financial years, taking on debt could be considered a worthwhile decision.
The DuPont formula for ROE ends up revealing ROA as well when we multiply the Profitability Ratio with the Efficiency Ratio. This means that ROA is a function of a firm's profitability and its asset turnover capability.
Besides the highlighted limitations in this section, the usual caveats apply. ROA and ROE are best compared against firms in the same sector with similar business models.
Return on Capital Employed (ROCE) is a measure of how much money can a company generate in the form of profits considering the amount of money invested in it for the long term.
After reading that definition, one might think, how do we calculate the "amount of money invested in a company for the long term"?
Let's say you decide to buy a house worth lakh. In addition to this cost, you need another lakh rupees for repair and renovation which means you need lakh. However, you only have lakh for down payment. You decide to borrow lakh from your nearby bank as a long term loan and lakh from an elder sibling for completing repair and renovations. The acquisition, repair, and renovation process takes about 6 months and you're able to pay back the lakh loan you took from your sibling within an year.
If we use the accounting equation in this case, we can say that
Assets = lakh (the house)
Shareholders Equity = lakh (the downpayment you made)
Non-current Liabilities = lakh (the long term bank loan)
Current Liabilities = lakh (the money borrowed from your sibling)
The long term investment in this company (the house) seems to be lakh — the sum of shareholders equity (your contribution) and non-current liabilities (the bank loan). This is what we call Capital Employed. It's the amount of money employed by a business to fund its assets and, ultimately, generate profits.
We can define ROCE using the following formula
where
One might find Capital Employed defined as Total Assets - Current Liabilities
which is just another way of using the accounting equation. The former method of looking at capital is called the financing approach and the latter method is called the operating approach. We can also use Average Capital Employed
to prevent looking at skewed ratios because of abrupt changes in Shareholders Equity or Non Current Liabilities.
The ROCE of Bombay Dyeing for the year 2019 is
EBIT = crores
Average Shareholders Equity = crores
Average Non-current Liabilities = crores
ROCE =
and for the year 2020 as opposed to its ROE of and for the years 2019 and 2020 respectively.
Abbott India's ROCE for the year 2020 is as opposed to its ROE which is . Avenue Supermarts' ROCE for the year 2020 is and its ROE is .
It should be apparent that ROCE is a "better" profitability ratio to use compared to ROE, especially in capital intensive sectors like telecom and auto where assets being funded by significant debt isn't unusual.
However, ROCE isn't free from limitations. Even though retained earnings is being counted as part of capital employed, it may not be employed for any financial activities. A company with high amounts of cash reserves would be negatively affected when calculating ROCE. This should be apparent in the case of Abbott India. If we exclude the retained earnings, we'll get a ROCE of for the year 2020.
One of the drawbacks of ROCE, as we saw earlier, was that it considers cash reserves as part of the capital employed which ends up subduing the ROCE of Abbott India. Instead of looking at capital employed, how about we consider the capital invested in a business? After all, the ability to generate cash isn't the only thing that matters. A company sitting on huge amounts of cash isn't necessarily a good thing since the returns generated from that cash is not going to exceed the cost of capital employed and the expected returns by shareholders. We'd want a company to make use of that cash effectively and grow its business better than its competitors. Efficient capital allocation matters just as much, if not more, than how capital is employed and it is one of the most important responsibilities of the management of a company. Its importance is perhaps best highlighted by the following excerpt from Warren Buffet's 1987 letter to shareholders.
The heads of many companies are not skilled in capital allocation. Their inadequacy is not surprising. Most bosses rise to the top because they have excelled in an area such as marketing, production, engineering, administration or, sometimes, institutional politics. Once they become CEOs, they face new responsibilities. They now must make capital allocation decisions, a critical job that they may have never tackled and that is not easily mastered.
In the end, plenty of unintelligent capital allocation takes place in corporate America. (That's why you hear so much about "restructuring.") Berkshire, however, has been fortunate. At the companies that are our major non-controlled holdings, capital has generally been well-deployed and, in some cases, brilliantly so.
The Return on Invested Capital (ROIC), also known simply as Return on Capital (ROC), is the measure of profit generated by a company relative to the amount of capital invested in its business.
Okay, so how do we define what capital invested is?
We defined capital employed as Shareholders Equity + Non-current Liabilities
but it can also be written as Total Assets - Current Liabilities
using the operational approach. We can exclude
cash and cash equivalents, bank balances, term deposits, and interest
income from cash
goodwill
unusual and one-time items
Excess cash sitting in a bank or in debt funds isn't invested in a business and isn't an operational asset. Goodwill is an intangible asset usually resulting from the acquisition of a company at a premium value. We exclude goodwill because it is the leftover premium from the past, not an investment for future growth. Similarly, other one-time items like asset write downs aren't included in the capital invested since they are not core operational assets.
This gives us
This gives the denominator in the formula for ROIC. Since we are focusing on the invested capital from an operational standpoint, we'll use operational profit in the numerator. However, instead of using just EBIT, we'll adjust EBIT for taxes to get a more standardized version of operating income. This is known as net operating profit after taxes (NOPAT).
ROIC can now be defined as
There's another caveat we should keep in mind when calculating ROIC. The NOPAT generated at the end of a financial year won't be because of capital invested at the end of the same financial year. To account for this timing difference, the amount of capital invested used in calculating ROIC will be as it was at the end of the preceding financial year.
Let's start with Abbott India. The EBIT for the year 2020 was crores. The tax rate can be considered as as mentioned in Note 18 of the financial statements. This gives us a NOPAT of
NOPAT = crores
The capital invested of Abbott India for the year 2019 is
Cash and Cash Equivalents (Note 10) = crores
Term Deposits (Note 11) = crores
Interest on Bank Deposits (Note 13) = crores
Non-operational Assets = crores
Capital Invested = crores
This gives us a ROIC of . The ROIC of Pfizer India for the year 2020 is .
Motherson Sumi, an auto ancillary company which is significantly more capital intensive, has a ROIC of for the year 2020. Of course, this doesn't mean we can compare Motherson's ROIC with Abbott's. An appropriate comparison would be with a company like Minda Corporation which is also a capital intensive auto ancillary company. It's ROIC for the year 2020 was . One may notice that although Minda Corporation had a negative PAT for the year 2020, its operational profit was positive. The reason for the negative PAT seems to an exceptional event which is not considered when calculating ROIC.
Of course, like any other ratio, ROIC has its limitations.
ROIC, and its constituents, are non-standard metrics that we may not find anywhere in an annual report. We have to calculate NOPAT and Capital Invested ourselves, manually, to avoid mistakes and incorrect calculations. Although we considered the timing difference when calculating capital invested, some stock screening websites may not do so and use capital invested at the end of the year in question which is incorrect.
ROIC can also mislead investors into preferring asset light companies with relatively higher ROIC than asset heavy companies with relatively lower ROIC.
These are chapters in progress that may or may not be reviewed yet. Read with caution.
Content in these pages are being worked upon, and not yet ready for publishing. If you are reading these, expect grammatical and spelling errors, incomplete thoughts, and messed-up text in general.
We'll learn how to dive deep and analyze businesses
In the previous chapter, we noted that as individual investors, our job is to find and exploit disparities between market and intrinsic values of businesses. Further, we explored a way to build a universe of companies to study and track based on sectoral categorization.
But, a mechanical study of sectors will only take you so far. Sure, we've gathered qualitative information and numbers associated with a sector based on a generic understanding, but that doesn't cut it.
As we noted in our introductory chapter, we require extraordinary perspective to consistently get extraordinary returns. Of course, gaining extraordinary perspective requires an analytical (and not mechanical) understanding of a business. We've touched on this a fair bit whenever we've referred to the phrase circle of competence, but let us dive a bit deeper into this mental model.
The essence of it can be found in Berkshire Hathaway's 1996 edition of Letter to the Shareholders in which Warren Buffett says,
Intelligent investing is not complex, though that is far from saying that it is easy. What an investor needs is the ability to correctly evaluate selected businesses. Note that word "selected": You don't have to be an expert on every company, or even many. You only have to be able to evaluate companies within your circle of competence. The size of that circle is not very important; knowing its boundaries, however, is vital.
Pretty straightforward - invest only in businesses you understand.
Note that Buffett has used the word businesses, not products; it's a common misconception of the mental model that Buffett was referring to understanding the value a product adds to the life of its consumer. That would have been far more inclusive, most products are simple enough to understand. Instead, it is the economics of the business that needs to be understood and reasonably predicted.
Another misinterpretation of the model is that we're stuck with what we know, and that's that. This may be due to the phrasing often associated with discussions regarding the model, the purpose of which is not to discourage one from expanding your circle, only to be cautious of staying in your circle, whatever it is during the time you're making an investment decision. Sahil Bloom, in his appearance in We Study Billionaires podcast explains this delicate balance beautifully,
I really would impress upon people that your circle should grow, it should shrink, it should morph into different areas as you learn, and as you grow. The whole point is you need to be a continuous learner, and go down the rabbit hole on things that you’re excited about. [...] the reality is, life is dynamic. The world is dynamic, situations change. You need to be constantly learning and trying to grow your circle of competence over time. I think that’s point number one is the circle of competence should be dynamic, you should be striving to build it. The other point is you need to be absolutely ruthless in identifying the boundaries of it throughout. So, you can be striving to grow your circle of competence. But if you haven’t spent the time and really put in the energy and effort for it to have effectively grown, you need to be cognizant of that fact and not start reaching because you think you know everything that’s outside of it.
It all circles back / seamlessly connects with the other mental model we've talked about above, having an edge. A good enough amalgamation of this union is - its smart to use the limited extraordinary insights we have of the businesses we economically understand than to dabble in businesses we don't economically understand. This is because what we know of businesses we don't economically understand is probably common knowledge, and is thus probably priced in.
The reason we've explained this in a segue between the two chapters is to make sure you're not falling into an information gathering hole. Researching a sector or a business is important, but really understanding the economics of it (in a way in which your insights are better than the market's) is something that can't be taught. Howard Marks' in the introductory chapter of his book 'The Most Important Thing' warns of this rather bluntly,
In basketball, they say, “You can’t coach height,” meaning all the coaching in the world won’t make a player taller. It’s almost as hard to teach insight.
If Howard Marks' can't help you learn how to find an edge, we certainly can't. We can only guide you in the rudimentary processes involved in due-diligence.
Anyway, let's move on and see what due-diligence is required while researching a business.
While studying a business, there are a few things you want to look at,
Key events in the company's history
Value proposition of the company's products
Business model of the company
Competition faced by the company
Risks & Threats to the company's business
We're going to cover the questions under these broad themes that need to be covered while studying a business, with examples wherever we feel it is necessary to better illustrate our point. Like in the previous chapter, I implore you to choose a large-cap company of your preference (because it'd be easier for you to gather information on larger companies), and follow along.
Just as a sector, any company with a few years of existing in the market will have some past/forthcoming events that have had, or will have a material impact on its financials and operations. Again, this can be a major disruption, a government policy, a new player in the market behaving irrationally, a black swan event, and so on.
Though a sector-wide event is bound to have an impact on all its participants (after all, companies are constituents that form up a sector), the impact would vary in both magnitude and sometimes even polarity (what is negative for some, can be positive for other players of an industry).
For example, consider the dramatic decrease in average revenue per user (ARPU), a benchmark for product pricing in some industries, in the Indian telecom sector - Reliance's Jio, a disruptor, entered the industry undercutting everyone's prices. While lower ARPU would intuitively mean lower profitability, Jio understood that it had to do this to gain customers. Net-net, it worked out as a good strategy for Jio, while many other players either shut shop, or took a serious financial hit.
Apart from such sector-wide events, there are other key-events that may relate to just one company, and not the whole sector. Consider changes in key management positions, for example.
Any occurrence with material impact on core operations or financials of a company will probably have an impact on its stock price. The inverse of this isn't always true - there can be circumstances which affect the stock price of a company even if there's no effect on its core operations or financials.
Generally, this happens in instances where there can be supply overheads in the market for a company's share. An excess of supply of shares relative to demand can drive down a company's stock price.
For example, a pledge of shares held by promoters of the company for a loan would hurt the market sentiments towards the company. This is because it's an additional market risk - if the promoters are unable to service their debt obligations, the lender can sell the shares taken as collateral, resulting in supply overhead of the company's shares in the market.
Another example of this is when investors with high shareholding in a company decide to exit their investment. Again, this would possibly mean that there may be a supply overhead. Sometimes, even the market's perception that something like this may happen, results in a feedback loop - investors think a supply overhead may come from a large investor exiting a stock investment, and exit themselves, collectively creating a supply overhead.
This refers to the value addition by a company in its products. As Investopedia puts it,
A value proposition refers to the value a company promises to deliver to customers should they choose to buy their product. [...] The proposition is an easy-to-understand reason why a customer should buy a product or service from that particular business. A value proposition should clearly explain how a product fills a need, communicate the specifics of its added benefit, and state the reason why it's better than similar products on the market. [...] A successful value proposition should be persuasive and help turn a prospect into a paying customer.
As we noted in the last chapter, stating the obvious - what products are sold by a company - helps us answer some questions ahead.
Revenue mix refers to a break-up of the revenue generated, based on different business segments a company is engaged in. Similarly, earnings mix refers to the break-up of the Operating Profit, or Earnings before Interest and Tax (EBIT) earned by a company based on its business segments.
Similarly, geography mix connotes the break-up of revenues and operating profits based on different geographies a company operates in.
In compliance with Indian Accounting Standards (Ind AS) 108, companies are required to disclose these break-ups. They can generally be found in a company's annual report under the heading 'Segment Revenue' and 'Segment Results' respectively in Notes to the Financial Statements.
As an example, earning mix and revenue mix of Hindustan Unilever, can be computed from the following figures taken from the company's FY20 annual report.
Studying revenue and earning mix helps us gain a few important insights. One, by bifurcating the total revenue/operating profits into different businesses, we can analyze each business individually.
For example, if one of the segments is growing faster than the other segments, we can identify it as a potential growth avenue for the company in the future.
We can also find out the operating margins of each segment, and identify which business is more profitable in relative terms, and thus should be focused on (assuming scalability is not an issue). Or, we can pinpoint to the segments that have zero, or low profitability, and analyze what can turn these businesses around (or otherwise be divested).
After all, a segment that is growing in double digits, but has close to zero margins will only lift the company's bottom line so much, whereas a high-margins business growing in double digits will do wonders to the company's bottom-line.
On a product level, this referred to as product mix. When someone says the company had a favorable product mix this year, they're implying that the contribution of high-margin products to the revenues of the company were higher than expected.
As we noted in the previous chapter, most sectors can be divided into different segments, and different segments can have varied economic dynamics. So, identifying which product segments the company is operating is in helpful.
For example, while Maruti Suzuki India Ltd operates in the automobile sector, roughly 69% of its domestic volumes come from compact and mini four-wheelers, and the rest comes from mid-sized vehicles, utility vehicles, light commercial vehicles, and vans as per its Q3FY21 Investors Presentation. The company, however, is not engaged in selling two-wheeler, or three-wheeler vehicles.
Alternatively, Hero MotoCorp Ltd, also operates in the automobile sector, but only sells two-wheeler vehicles, and does not operate in three-wheeler, or four-wheeler vehicles, as per its FY20 annual report.
Both of the companies, however, are more focused on selling vehicles in the domestic market, instead of selling internationally.
Maruti Suzuki earns just ~7% of their revenues from exports, whereas Hero MotoCorp earns a similar ~4.3% of their revenues from their exports business.
On the other hand, Tata Motors Ltd, another automobile manufacturer, relies on exports for ~82% of their revenues.
Two companies in the same sector, operating in the same segments, can still coexist and have distinct customer bases. This can be based on the price range of the products, the age group that the product is marketed towards, niche products, etc.
For example, let's extend the two-wheeler example we used above. Eicher Motors Ltd, the company behind the famous Royal Enfield brand, markets its motorcycles for higher paying customers, versus that of Hero MotoCorp Ltd, which targets the economical price range. Bajaj Auto, with a wider portfolio range, has a more blended approach.
Another example of this is with chocolates, with companies like Ferrero Rocher, and Lindt catering to premium, more expensive chocolates whereas Mondelez's Cadbury caters to more economical market.
In clothing, a company like Louis Vuitton targets luxury segment, whereas Levi's, targets premium, and a company like V-mart sells affordable apparel.
Based on targeted age groups, take Monster Energy's beverages as an example, which strictly markets for younger populations, against that of Red Bull, which appeals all age groups.
Similarly, Bira 91, a craft beer brand, considers millennials as their key consumers, whereas peer brands don't necessarily target a particular age group.
In the previous chapter, we explained the generalized definition of market size as the potential revenue / volume a company can attain if it had 100 percent of estimated market share in the sector.
Similarly, addressable market size refers to the potential revenue / volume a company can attain if it had 100 percent of estimated market share of the market segment the products target.
Determining market size helps us perceive the growth potential of a company.
While market size refers to the potential revenue / volume a company can attain if it had 100 percent of estimated market share, market share refers to the real, actual percentage of estimated sector-wide revenue / volume a company has captured.
You'll often find these figures reported in a company's annual report, investor presentations, credit reports, and conference calls.
For example, in CRISIL's credit report of Asian Paints Ltd dated June 30, 2020, the credit rating agency reported Asian Paints having 'a dominant share of over 50% in the organized domestic paints market'.
Note the words organised and domestic used in the report while describing the market they've used to benchmark the company's share. It is essential that attention is paid to the adverbs describing the market, to get a complete understanding of company's share in the market.
A peek into tax estimation process for redeeming units that are outside STCG zone
In the previous chapter, we've seen how to compute total number of LTCG taxation eligible units, if equity transaction history has been provided.
Picking up from where we’d left off in in part 1, we can start with planning for potential tax computations
At this point, we’ve computed units outside of STCG zone (purchased more than a year ago, that’s still in investor’s portfolio, eligible for LTCG taxation if redeemed). STCG stands for Short Term Capital Gain.
We need to compute these:
tax liability, if investor were to sell all these units.
total number of units present, where net tax liability is equal to or below 1L, if investors were to sell those
Tax is computed on realized gain, or booked profits. Realized gain, can be written as SUM(selling price of units - purchase price of units)
.
Say, an investor purchased
U1
units, on date t1
, at price P1
.
U2
units, on date t2
, at price P2
.
U3
units, on date t3
, at price P3
.
Assume selling price (NAV on day of selling) is P
.
This investor has (U1 + U2 + U3)
available for selling. Realized gain is:
Which can be written as:
In previous section, we’ve computed effective value of (U1 + U2 + U3)
, for any number of transactions.
We know P1
, P2
, P3
; for all those transactions.
Only missing information is selling price, P
.
What we need, is selling price as on today (the given day when investor is attempting the sell transaction).
In other words, we need a way to get access to latest NAV of these funds.
Because this NAV would change every day (equity mutual funds update NAVs at the end of the day, every business day); it’d be better to programmatically access it, like we used GOOGLEFINANCE()
for historic data.
GOOGLEFINANCE()
can be one option here. But as we’ve learned in the previous section, it has issues (remember seeing #NA
all over the place?)
Instead, we’d go to the source!
Every AMC has a regulatory requirement to update their NAV daily with AMFI (Association of Mutual Funds in India). And AMFI makes this data available for parsing, in a CSV format, on their website.
This is the link: https://www.amfiindia.com/spages/NAVAll.txt
Remember when you were thinking learning SPLIT()
TRANSPOSE()
would’ve been of no use? Well, as you’re about to see, not all CSV data come in text files.
Google Sheets has an IMPORTDATA()
function, that’d do just fine. We provide it a URL for the AMFI NAV endpoint, and it’d fetch that latest raw NAV data.
Then we can split that raw NAV feed into cells, as we see fit.
This AMFI URL has ~20k entries. To be able to find the funds as in the CSV transaction dump, our excel matchers would be fine.
But the problem is this: the name of fund can appear differently in that list, as opposed to how it appears in the CSV.
Finding fund by matching strings would lead to misses.
A better option would be to find fund the way it’s usually done - by a unique identifier.
This unique identifier is already present in the AMFI NAV feed URL: ISIN
ISIN (International Securities Identification Numbers) is unique across global securities market. Not only can there be no two funds with same ISIN in India; there can be no two securities with duplicate ISINs in regulated markets, across the world!
We have to find ISIN for each of the funds in CSV transaction, manually, and add a column in the second sheet, next to each fund, to add its ISIN.
List of ISIN is also present in AMFI NAV feed.
This is actually a straight-forward, one-time exercise. It should also make it clear to the reader why having too many funds to portfolio can be cumbersome.
Let’s start by adding the ISIN column first
In the second sheet (not the one named data
), add a column next to fund’s name. You can use Insert Column.
Insert ISINs as follows (copy-paste from below):
Final results, should look like this
Parag Parikh Flexi Cap Fund - Regular Plan - Growth
INF879O01019
Invesco India Multicap Fund - Growth
INF205K01DN2
Axis Focused 25 Fund - Regular Plan - Growth
INF846K01CH7
Mirae Asset Large Cap Fund - Regular Plan - Dividend
INF769K01036
Mirae Asset Emerging Bluechip Fund - Regular Growth
INF769K01101
HDFC Mid-Cap Opportunities Fund - Growth
INF179K01CR2
Franklin India Smaller Companies Fund - Growth
INF090I01569
Mirae Asset Large Cap Fund - Regular Plan - Growth
INF769K01010
Franklin India Flexi Cap Fund - Growth
INF090I01239
Franklin India Bluechip Fund - Growth
INF090I01171
Franklin India Prima Fund - Growth
INF090I01809
ICICI Prudential Bluechip Fund - Growth
INF109K01BL4
DSP Tax Saver Fund - Regular Plan - Growth
INF740K01185
Follow these steps
Create a new sheet, name it AMFI NAV (Raw)
In a cell, enter the AMFI URL: https://www.amfiindia.com/spages/NAVAll.txt
Invoke IMPORTDATA()
function, and pass the cell ID of the URL above, as argument
Given it few seconds, it’d fetch latest NAV from AMFI for all mutual funds. It should add some 18k+ rows.
This data is in CSV format, separated by semicolon, per line.
Create another new sheet, name it AMFI NAV (Processed)
In this sheet, add somewhere this formula
=IF(ISBLANK(<cell ID>), , SPLIT(<cell ID>, ";")
, where <cell ID>
points to a row of semicolon-separated data, in the sheet AMFI NAV (Raw).
ISBLANK(<cell ID>)
checks if the cell is empty. As you can see from the data, there can be plenty of empty cells. Invoking SPLIT()
on these, would result in an error, it’d show up as a #VALUE
error on spread sheet.
IF(condition, arg1, arg2)
checks if condition
is true for a cell (in this case, if the cell is empty). If so, the first argument arg1
in inserted in the result cell (not the cell on which condition is being evaluated). Otherwise, arg2
is inserted.
=IF(ISBLANK(<cell ID>), , SPLIT(<cell ID>, ";")
basically means if <cell Id>
is empty, don’t put anything, else split the content of the cell by semicolon, and put the results in cells.
Use autofill drag to fill out all 18k+ rows in new sheet.
Technically, you won't need to fill out all 18k+ rows. As long as you fill out enough number of rows, such that all funds in that other sheet appear in those rows, it's good enough.
Refer to the following video(s) for reference
Your sheets would now have latest available NAV from all mutual funds, in a nice table format.
We've introduced a few new Google Sheets functions in this section:
In this section, we’d compute net redemption value of units older than 1 year.
This is total available units older than one year (already computed earlier), multiplied by latest NAV.
We can look up latest NAV using VLOOKUP
with ISIN as search query.
VLOOKUP()
stands for vertical lookup or row-wise lookup, across columns. It’s a way of searching for matching data.
There’s also HLOOKUP()
and LOOKUP()
; but for our use case, VLOOKUP()
would work fine for now.
VLOOKUP() documentation | archive.org link | archive.is link
Follow these steps:
Come back to the main sheet, which has information on available units and sold units.
Add a column at the end, titled Latest Value
Invoke VLOOKUP()
for the top-most row as follows:
1st argument, <cell ID that has ISIN for the fund>
is ISIN, but we’re doing it this way, to be able to drag and auto-fill.
2nd argument, <range of data from processed NAV sheet>
is a bit interesting.
VLOOKUP()
does not work if the column we are searching for is not the first column of a range. In our processed NAV sheet, the ISIN is the second column.
We have to pick a range, leaving out the first column.
This range is a combination of rows and cells. For instance, if your processed NAV sheet starts at B3
with Scheme Code
text in it; then, our range would be something like C9:F18123
(leaving out the last, date column).
Since we’d be using drag & auto-fill, we can lock these cells: $C$9:$F$18123
.
3rd argument, <column index, that has NAV for the fund>
, is column index of the column for the result.We’re looking for NAV when ISIN matches, which is the 4th column in our range (ISIN is the first column in this range). Hence, we can put this value as 4.
Final argument, is false
. It tells VLOOKUP()
that the dataset in the range is not sorted. Our data set is not sorted on the basis of ISIN (sorted alphabetically on AMC name, actually), hence false
is the right value to pass here.
Refer to this video to follow along steps:
Final outcome in the newly added column, should be similar to these screenshots:
Depending on when you're looking at these, the exact value might differ. Because it depends on latest NAV as on that date. This computation was done with NAV of 22nd March, 2021
We did not explicitly set out to do this, but it's trivial to take a CSV and compute latest portfolio valuation! You already have total number of units investor has in portfolio for each fund, and latest NAV for each fund.
On the surface, this sounds easier than previous steps.
All one has to do, is go and sum on units and NAV column, where date is much before the date 1 year ago.
In fact, investment amount is provided in the CSV transaction dump, so multiplication isn’t even needed (invested amount = unit x NAV on that date).
Except, it’s not that simple.
We have realized that even if units were acquired more than one year ago, doesn’t mean some of those weren’t sold in last 1 year, or before.
Remember that available units is NOT sum of all units purchased more than a year ago. We had to subtract the sold units (sold at any point in time, not just more than a year ago) to arrive at LTCG-eligible units.
In other words, we need to find unit purchase price for only these units. Not that of all units.
Another way to look at it: keep adding purchase price, until total number of units added is same as LTCG-eligible units.
An example to illustrate this idea:
Say, an investor is buying 10 units every month, from 2018 January, to 2020 December. That's a total 36 month period.
At the end of December 2020, units purchased between January 2018 and December 2019, are eligible for LTCG.
Now assume that in 2020, at some point, this investor has also sold 54 units.
Then, at that point, they’ve units available for LTCG-eligible redemption.
What were the purchase price(s) for these 186 units?
More importantly, when were these 186 units acquired?
We know that investor purchased 10 units every month, from Jan 2018 to Dec 2020. Investor has also sold 54 units some time in 2020.
Redemption works in a FIFO (First In First Out) manner in folio. Meaning, earliest purchased units are to be redeemed first.
We first need to account for 54 units that were sold. These units were acquired as follows -
January 2018
10
February 2018
10
March 2018
10
April 2018
10
May 2018
10
June 2018
4
Once we’ve depleted the earliest-purchased-earliest-sold scheme for already redeemed units, we can start to account for remaining 186 units.
These 186 LTCG-eligible units were acquired as follows:
June 2018
6
July 2018
10
August 2018
10
September 2018
10
October 2018
10
November 2018
10
December 2018
10
January 2019
10
February 2019
10
March 2019
10
April 2019
10
May 2019
10
June 2019
10
July 2019
10
August 2019
10
September 2019
10
October 2019
10
November 2019
10
December 2019
10
Total
When computing purchase price for these 186 units, we need to use purchase price from these months in the table; and not purchase price from January 2018.
In other words, this is going to be the most complex part of the computation.
To recap, we compute purchase cost / acquisition cost as follows:
Account for existing sell transactions, depleting units, starting from initial purchase transaction; until total units add up to all units sold so far.
Start adding up units from this date, till it adds up to total available LTCG-eligible units.
Luckily, we have a special scenario on our hands.
In our case, if you notice the units sold and LTCG-eligible units in the column, investor has either never sold any units from their current holdings in a specific fund; or they’ve completely sold off all their units in that specific fund.
Which means, for funds where there are LTCG eligible units; we do NOT need to account for previous sell transactions.
In other words, one can start adding up the purchase transaction costs from the very first purchase.
This won’t be the case for a typical CSV transaction dumps for most investors.
We’ve so far carefully avoided discussing the grandfathering clause in equity LTCG computation.
Union budget 2018, defined purchase price of equity, for LTCG computation as higher of price as on 31st January 2018, or actual purchase price - if units were bought before this date.
To factor this in, we’d need information on NAV price as on 31st January, for each of the funds present in the CSV transaction dump, which has LTCG-eligible units.
The AMFI URL for latest NAV won’t do.
Instead, we can use this URL for fetching historic data: http://portal.amfiindia.com/DownloadNAVHistoryReport_Po.aspx?mf=<AMC Code>&tp=1&frmdt=31-Jan-2018&todt=31-Jan-2018
This URL returns data in CSV format as before. However, it’s specific to each AMC, identified by an AMC code.
An AMC code is a number, between 1 and 100. However, not all numbers between 1 and 100 correspond to a valid AMC code. You’d have to try out each number, and see which ones result in valid URLs that return data.
For example, Nippon AMC is identified by AMC code 21. This URL would return NAV history of all Nippon AMC funds, as on 31st January 2018: http://portal.amfiindia.com/DownloadNAVHistoryReport_Po.aspx?mf=21&tp=1&frmdt=31-Jan-2018&todt=31-Jan-2018
You can follow similar steps as earlier to incorporate data from this URL into your calculations.
We won’t be covering the last bit of calculation here, as it’d be quite complex.
It’s left as an exercise to the reader; as it won’t be of much value to do these with Excel / Spreadsheet, for most investors.
To achieve such conditional summing-up, one would most likely need to use QUERY()
function, writing something akin to SQL queries.
QUERY() documentation | archive.org link | archive.is link
It’d also be much harder to update or understand. for another person going through same excel sheet or spreadsheet; which would have such esoteric constructs.
At that point, using a for-loop equivalent in commonly used programming languages (Python / Node / Java / Ruby / Go etc.) would be much easier to reason about.
Another option would be to use GApps Script (archive.org link | archive.is link), in Google Sheets; which is basically JavaScript to program your sheets. However, we won’t be covering that here.
Phew! We covered a lot of ground in these three chapters.
We can only hope power of spreadsheets are becoming more and more apparent to you. Simultaneously, you've also started seeing the rough edges.
Excel / spreadsheets with complex formulas can be hard to maintain - it's tough to understand and update if needed.
We'd gradually address these in upcoming chapters and series.
How to do returns in excel or spreadsheet? Read along to find out
In investment parlance, returns is a big deal. It probably gets more attention than almost any other metric or ratio out there, and occupies the largest mindshare among most investors.
So far, we've carefully avoided this topic to do it justice because returns also happen to be commonly misunderstood and are often erroneously focused upon.
To begin with, returns are not just some numbers on a screen and the goal is not to have as high returns as possible. It's instructive that as investors, we develop a good visual and mental model of what these numbers / metrics mean and interpret it in the right context.
This chapter's child pages are meant to enhance our knowledge, so we can have higher-level discussions about returns. At the same time, we aim to empower ourselves so we can compute these values independently on our own using spreadsheets rather than relying on external online tools. This would help us make better financial decisions.
Reactive UI : Data Chaining and Updates in Excel with Formula and Functions
Consider a sample receipt from your local kirana store, that looks like this
In real stores, they won’t issue receipts with four columns. But for the sake of this discussion; let’s assume they do provide such detailed tabulation.
Your task is to find out if the tally is correct.
We can use Excel for this.
In this chapter, you'd see images / videos in both dark and light theme. Based on your comfort and preference, pick one of these in each case : either dark theme, or light theme.
Take your favorite Excel app (MS Excel or Google Sheets), and create a new sheet in it.
Going forward, we’d refer to it as sheet.
Enter these numbers, as you see in the images below.
No need to manually enter these data points one after another. You could simply select the above table with your trackpad / mouse; copy it with Ctrl + C
/ Cmd + C
, and paste it in your sheet.
But wait, this is just text in a bunch of grids and cells! Where’s the magic or programming?!
Hold your horses, we’re getting there.
Now comes the part, where we sit back and let Excel formulas operate on the numbers, then cross-check the results for us.
If you notice carefully, some of the numbers in the above table could be derived from other numbers.
This is the starting point of an excel tracker: using excel formulas to derive values from other values.
Notice the 4th column, price of all items for a given item. It’s basically column 2, multiplied by column 3.
For example, in first row, for Apple
, each apple costs 20, and there are 3 of these purchased - therefore, the 4th column has 20.00 x 3 = 60.00
as its value.
How to represent this relationship, column 4 = column 3 x column 2
in Excel lingo?
In Excel, every cell can have either a static value, or a value derived from another relationship.
So far, we’ve used only the former, when we copy-pasted the table into our sheet. Now it’s time to do the second one.
Click on the cell in 4th column / 1st row, that has total price for all the apples.
In the above image, that’s cell E4 (column E, row 4); but can be a different cell in your sheet.
Hit delete
or double-click on the cell and use backspace
to delete the number.
Start by adding an equal-to symbol, or =
. In Excel, an =
starts a formula or relationship.
You’d notice how the color changes as soon as you type in that =
.
Click on the third column value in the same first row, it should automatically populate the cell ID in the active cell which already had the =
.
Type *
in your keyboard. In coding, *
stands for multiplication, and not x
.
You should see =
followed by cell ID of third column in first row (D4
in our above image), and then *
.
Now click on the second column, first row.
It’d also add cell ID of that cell after *
in the active cell. Based on our above image, it would look like =D4*C4
.
Exact cell ID might be different for your sheet; but you should see these three things after =
, in your cell.
Here’s a video to guide you along (both in dark and light theme)
If you’ve done everything as demonstrated / instructed above, you should have same exact value of 60 in that cell, as you’d earlier.
This validates the number was correct, your local kirana store didn’t have a broken calculator or tried to stiff you.
So far, you’ve validated that only one number entry was correct.
There are three more entries to validate for each item. And one final total, of amount 412.
But what if this list was bigger? A typical visit to the store, for weekly groceries, can bring home 20-30 items of various quantities.
It’d be quite tedious to validate each of those entries, and then validating the final tally.
Idea is that if you know what happens to one entry, and you’ve a list, it’s easy to convey to Excel hey, do what you did for that one row, to all the rows. Similarly, can be done for columns as well.
Follow these steps to validate each price computation row:
Hit Ctrl + Z
/ Cmd + Z
to undo your changes.
Create a column next to the last column Total, and name it Computed.
We’d leave the Total column untouched, and keep our computed results from Excel formula in this newly created column.
In the first row of this new column, enter the same formula, as you’d done it earlier - start with =
symbol, then select the two columns and separate the cell IDs with *
.
Go to the bottom right end of this newly created cell, there’s a small square.
Click on that, and while it remains clicked / pressed, drag it down to cover the other rows. You’d notice how the formula gets copied on the cells in other rows, but somehow magically Excel keeps selecting right cells from that row (and not from the first row).
For example, if your first row’s relationship was =D4*C4
, then second row would get =D5*C5
, third row would get =D6*C6
, and so on and so forth.
Excel would keep incrementing row numbers in cell ID as you drag vertically down.
Here’s a video to help guide you alone with the above steps:
Assuming you’ve done everything right up to this point; the numbers in the newly created column, for a given row, should be exactly same as the penultimate (last but one) column.
If you notice, we still haven’t validated the final total - summing up all totals from each of the rows.
One way to go about it, would be to start adding up each number from the Total column, or Computed column.
Which would be feasible when there are only 4-5 rows. How would that work if there were 40-50 rows? Manually clicking on each of these cells, after typing +
would be troublesome, and prone to human error. What if you miss one?
Enter in-built formula.
Excel has lot of in-built formulas, that operate on a range of data.
In this case, sum
function comes in handy.
We just need to invoke sum
function and provide it range, it’d process the numbers and return the value adding up these numbers.
Follow these steps:
In the Computed column, select the cell next to the cell which has total value of 412.
Enter =
, then type sum
and open (
.
It’d open up some tooltips that explains what SUM
(yes, all capitalized, but when you type it in, you can use lower-case, Excel would pick it up) function does.
Select the range (in this case, rows) from the computed column, dragging your mouse / trackpad over that range.
In the above image / videos, that’d be F4
to F7
.
You could alternatively, manually type these ranges in. It’d be in the format StartID:EndID
. For example, =sum(F4:F7)
.
Since addition is order-independent (that’s a fancy way of saying, 2 + 3 + 4 and 4 + 3 + 2 are same), you can also write it as sum(F7:F4)
, the order doesn’t matter.
Hit Enter
or Return
on your keyboard after you’ve entered the formula.
Here’s a video to help guide you along (available in both dark & light themes)
If you’ve done everything as instructed, up to this point, it should look as shown below
We started this note with a fancy title, Reactive UI.
Reactive UI means a user interface (UI) that reacts to “changes”, and updates itself.
Idea of what Excel does at its core, has been around since Visicalc (the OG Excel app) came out in 1969. But in the history of computing, function-driven updates go back to the early days of functional programming / lambda calculus, 1930s.
If these terms scare you, then know that you have no reason to learn these to get efficient with Excel.
But it helps to put the history in context. That reactivity is important, and computer scientists have been after this for decades, and it keeps getting better and better.
Excel is as mainstream as esoteric mathy concepts of functional reactive programming has ever been.
Excel helps you build apps, with Reactive UI paradigm.
Yes, you just built a mini invoice application (AKA app), without writing any complex pieces of code. You didn't have to boot up your code editor or IDE, run debuggers, compile some pieces of it, fight with error messages - none of these were needed.
To see how it reacts, change any of the values in the column:
Update quantity of Apple, to be 4
.
Notice that cells containing formula immediately propagates the update to other cells. Total price of all apples change to 80, and total price of all items go up from 412
to 432
.
The total sum does not directly depend on the quantity of apples, it was dependent on total price of apples, but Excel correctly inferred that needs to update as well because of chaining dependency.
Also note, other cells that are not affected by this update won’t change their values.
Here’s a video to help demonstrate this:
Let’s reflect on what we’ve learned so far, and how to practice more!
=
starts a formula or function in Excel, where you can refer to other cells, and describe a relationship.
This lets Excel compute values based on other cells.
Due to in-built reactivity, when one value changes, all functions or formulas that use that value (or any value that’s derived from that value), would update automatically.
In Excel, *
stands for multiplication. And not x
.
Dragging allows Excel to infer a pattern and create formulas on-the-fly, to apply on other rows / columns.
Excel updates row IDs in cell IDs, if dragging is vertical. It updates column IDs in cell IDs, if dragging is horizontal.
Since dragging in any direction can be some combination of horizontal and vertical moves, Excel can always deduce the patten and update row / column IDs accordingly in formulas.
Excel has ton of in-built formulas / functions, and would automatically prompt what inputs these functions would accept.
These can be used in a case-insensitive way.
SUM
is one such function, that sums up all values in range.
Step-by-step guide on how to compute equity units eligible for LTCG taxation, if redeemed, using Spreadsheet
Now that we’ve seen how to import CSV data, and more importantly, how to massage that data for further use; we need to put this skill to use.
As an investor, you might have a portfolio of equity funds, and you’d want to know how many units you can sell without exceeding Long Term Capital Gain of ₹100,000 (1L INR, in colloquial terms).
Let’s back up a bit.
When you redeem units in equity-linked assets, you’ve gains or losses, depending on price of purchase / acquisition; and your selling price on the day of selling.
Here, we’re dealing with equity mutual funds, that invests in equity markets.
If holding period of your equity units exceed 1 year (365 days), then it is long term capital gain or loss.
In 2018 Union Budget, the taxation rules were changed in a way, that an investor doesn’t have to pay tax on long term capital gains, up to ₹100,000 or ₹1L.
If an investor is looking to exit some positions by selling some of their holdings, it might be beneficial for them to know
how many units are older than 1 year of holding period
total number of units older than 1 year, that they can sell
Consider a sample transaction history, plotted against time, for an investor who’s been investing for a few years (figures not to scale)
The Y-axis represents units purchased in every transaction. It’s positive for purchase transactions, and negative offshoots are for sell / redemption transactions.
X-axis is for time, in years.
Now, let’s assume today’s date is somewhere in 2021-22. Say, it’s 3rd July 2021.
Then any units purchased in last 1 year before that, from 4th July 2020 to 3rd July 2021; are less than 1 year old.
And all units purchased on or before 3rd July 2020, are older than 1 year.
Our task is to use excel / spreadsheet find these two:
number of units older than 1 year old (to avoid STCG tax or Short Term Capital Gain)
number of units, that are older than 1 year old, which has net gain of 100,000 INR or less.
This is a CSV of transactions from one of our community members. We’ve changed around a few data points, and removed PII (Personally Identifying Information).
Take a look at the CSV above, or after downloading the file; we can then begin with planning phase.
Right off the bat, we notice that unlike our previous sample CSV, this starts each line with a comma.
We could easily import it into our spreadsheet using in-built import system in place.
First part of the problem, is to compute total number of units purchased more than a year ago.
Notice the term, total number of units.
This is different from number of units purchased, added up all together.
Why?
A sell transaction reduces number of units.
Total number of units outside of 1 year period, is
Notice the difference. We’re adding up units purchased only up to a year ago. But we’re subtracting all units sold (and not just units sold up to a year ago).
What if this value is negative?
Then, there’s no unit older than a year.
In this case, we might want to wrap the result to be zero.
We can use MAX()
function for that
However, there remains one more problem: there are more than one fund!
We cannot just add units of two different funds!
In other words, we need a way to present this result (total units older than 1 year), for each fund.
But how do we get excel / spreadsheet to extract this unique set of values, then add up values only against each of those?
One simple observation is because the fund names are grouped together, we can manually segregate these.
But in a different CSV file, the grouping might not be there at all. Different funds can be mixed with transactions appearing one after another, to give it a chronological order.
We can use UNIQUE()
function from Google Sheets, to get a list of unique fund names, and this would work for the case even when the names are not grouped together.
Next task, is to add up transactions for each of the unique fund names that appear.
There are more than one ways to go about it. We could use FILTER()
function, operate on a subset of the data. We could also use some combination of LOOKUP()
with SUM()
or SUMIF()
.
We use SUMIFS()
to add up all units from purchase transactions up to a year ago, and subtract the unit balance for redemption or switch-out transactions.
This function allows for more than one criteria to search, and sum up, within a range of data.
How do we find up to a year ago?
Instead of putting a hardcoded value for date, we can use a dynamically-deduced value. Reason being, this output would depend on which date you’re checking the spreadsheet.
TODAY()
function gives us today’s date. And subtracting 365, gives date going back a year.
Now that we’ve chalked out a plan, it’s time to execute this step by step.
Follow these steps:
Open a new empty spreadsheet
Download the CSV file (or copy paste from above into a text file) in your machine.
Go to your spreadsheet and import with these settings
Select these options:
Replace current sheet
Detect Automatically
No
After importing this CSV file into your Spreadsheet, it should look like this
We’d use this sheet as our source of data.
And in case you’re wondering, yes, excel / spreadsheet allows you to refer to data from a cell in different sheet.
Follow these steps to extract a list of unique funds
Create a new sheet in your workbook, clicking on the plus sign (+
) at the bottom left of your spreadsheet application.
In this new sheet, add a table header
It should look like this
Next step is to use UNIQUE()
function, with the range of all funds.
There are total 329 entries in the CSV imported transactions.
In the first sheet, if the first entry of fund name starts at B2
, then the last entry would be at (329 - 2 + 1) = B330
.
We are referring across sheet, the reference works out as <name of the sheet>!<cellId>
.
Refer to this video for more guidance:
Final outcome of this process should look like as follows
Before we proceed to compute the total units sold or purchased, a look at autofill drag behavior is warranted.
Say, a formula is FUNCTION(A2, sheet!C3:sheet!C300)
.
In this formula, if we drag it to next row, it’d change as follows: FUNCTION(A3, sheet!C4:sheet!C301)
.
However, we might not want all referred fields to change.
A2
→ A3
✅
sheet!C3:sheet!C300
→ sheet!C4:sheet!C301
❌
The range of data remains same for both functions, and we’d only want a part of formula to change, while other part of the formula remaining constant.
This is referred to as locking cells in excel or spreadsheet formula.
$
is used to lock a formula’s elements.
A cell ID consists of Column ID, and a Row ID. Using $
ahead of either of these, locks them or makes them immutable when an auto-fill dragging happens.
For instance, $A2
means if horizontal dragging is done, it’d remain as $A2
. And won’t turn into $B2
.
Similarly, A$3
means if vertical dragging is done, it won’t change to A$4
. Rather it’d remain as A$3
.
To lock or preserve the expression, both horizontally and vertically, we can use $A$2
In the above example, FUNCTION(A3, sheet!$C$3:sheet!$C$300)
should do the trick.
We’d use this in the next step.
Number of units sold in a fund, can be computed in the second sheet as sum of these cells:
where name of the fund match the fund column in data sheet
where unit column is negative
However, before we did that, we should update the data cells.
When importing, we imported everything as raw strings. And prevented spreadsheet application from formatting dates / numbers / strings as it saw fit.
This was to give us more control over how to format these strings.
Follow these steps:
In the data sheet where all CSV entries were imported, add a new column next to last column
Invoke VALUE()
function for first entry against number of units.
This function takes raw string values of units, and convert those to floating-point numbers. This would help us compare against 0 or other numbers, or add these up.
Auto-fill all cells in that column, to have numeric values of each raw string of units.
Go back to the second sheet, which has unique fund names
In the third column, Units sold, add this formula:
First argument to SUMIFS()
is the range on which it’d do the summing or addition.
Next 2 arguments are set of criteria. There are 4 arguments after the first one, in couplets they represent 2 conditions.
2nd and 3rd argument means find me the rows where the name of the fund is same as it is here. This should not be locked cell.
4th and 5th argument means now check the unit value column and pick the ones with value less than zero.
Refer to the following video(s)
Final result should match this
To determine unit balance for only purchase transactions, about a year ago, we need to use SUMIFS()
function again.
But this time, we’ve to add one more condition: date of purchase
Comparing dates adds some complexity.
As we had to convert raw strings to their numeric values earlier, we’d have to convert these raw string transaction dates to actual dates that would allow our spreadsheets to compare against other dates.
Follow these steps to achieve this:
Add an extra column next to the units value column, in data sheet.
Invoke DATEVALUE()
function to compute date from raw strings in Purchase Date column.
It’d most likely print a number.
Go to Format
→Numbers
→ Date Format
.
This would change it to a date format.
Use drag and autofill, to get equivalent date values for each of the transaction dates
The newly created column should contain similar-looking values, though under the hood, they’ve been converted to date objects.
It’s time to put all these together.
The SUMIFS()
would get one more condition with 2 more arguments - that purchase date / transaction date were before 1 year ago.
In the second sheet (not the sheet named data
), add a cell, to note down date exactly 1 year ago.
It should be written as TODAY() - 1 * 365
. TODAY()
is an in-built function that returns today’s date (we want to compute it, so no matter when someone checks the sheet, it gives correct value based on that date).
By default, subtraction assumes unit as 1 day, therefore subtracting 365 is enough to get the date from exactly a year ago.
Use date formatting if needed.
In the second column, Units Purchased (>1Y), add this formula:
First argument to SUMIFS()
is the range on which it’d do the summing or addition.
Next 2 arguments are set of criteria. There are 4 arguments after the first one, in couplets they represent 2 conditions.
2nd and 3rd argument means find me the rows where the name of the fund is same as it is here. This should not be locked cell.
4th and 5th argument means now check the unit value column and pick the ones with value less than zero.
6th argument is pointing to newly added formatted date column from above.
7th argument is a bit interesting. Conditions are wrapped in quotes (""
or ''
), but if we refer to a cell which has a fixed date in it, we cannot write it as "<$B$6"
.
We have to use &
and write it as "<"&$B$6
. This is a way to use the value in cell B6
in a conditional.
Refer to the following video:
Final result should match these
The numbers might not exactly match, because depending on today's date, you might have a higher value. Above computation is as on 21st March 2021.
When a cell range in a sheet is being referred, second reference to same sheet can be omitted. data!B4:data!B50
can be written as data!B4:B50
This part is straight-forward
It’s sum of total units purchased more than one year ago, and total units sold so far.
Effectively, we have to sum up the column entries. We can use auto-fill with drag. In fact, spreadsheet might actually prompt here, on how to autofill these cells, in last column of second sheet.
It also shows why keeping units sold in negative was a good idea.
A sample final result can look like this
It’s easy to cross-check and verify that these complex computations and instrumentations actually lead to sane results
Based on the above computations, we see that investor has entered and exited multiple funds over the years.
Out of these, this investor hasn’t sold units in the following:
Parag Parikh Flexi Cap Fund - Regular Plan - Growth
Axis Focused 25 Fund - Regular Plan - Growth
Mirae Asset Large Cap Fund - Regular Plan - Dividend
ICICI Prudential Bluechip Fund - Growth
DSP Tax Saver Fund - Regular Plan - Growth
This is evident from the Units Sold
column - investor hasn’t sold any units in these funds.
Over the years, investor has switched their corpus into these above funds.
For the other funds in their portfolio, they’ve completely sold these off, more than a year ago. We can easily verify this, going through the redemption transactions, and see that those were before 21/03/2020, i.e. more than one year ago.
What is XIRR? How can I use it to make financial decisions? What affects XIRR in a good way and a bad way? Find answers to these queries here
In the previous chapter, we’ve covered CAGR and how it can offer insights into rate of price growth of common listed securities.
In this chapter, we expand on this; and measure rate of growth of portfolios, which is consisted of set of articles.
For an investor, asset’s growth and portfolio growth are two different aspects; as we’re about to learn.
XIRR (eXtended Internal Rate of Return) is a generalized form of portfolio return measurement, that takes into account both entry and exit transactions.
Why internal?
Because it excludes external factors (asset class, risk, volatility etc.); and includes only these information, that are internal to investors’ portfolios:
Dates of transactions
Cashflow of each transaction on those dates
Final portfolio value (if all investments are not yet fully redeemed)
XIRR is quite broadly applicable, as long as one furnish these internal informations correctly.
Why extended?
IRR (Internal Rate of Return) was developed as a measure but it had some limiting underlying assumptions, such as regular intervals between transactions. We won’t cover IRR here, because XIRR is much broader and generalized.
XIRR is extended version of IRR, that works for arbitrary set of dates.
Unlike CAGR, most popular spreadsheet applications like MS Excel or Google Sheets, have an in-built XIRR()
formula.
Before we gain deeper understanding of XIRR, it’d be better to see how we can use it in our day-to-day finances.
Consider this endowment or moneyback policy being offered by a popular private insurer:
You have to pay a yearly premium of ₹100,000 (1 Lakh INR), for 10 years. From 20th year onward, you’d receive ₹200,000 (2 Lakh INR), every year, for next 10 years.
Let’s break this down in a table.
In the above table, we’ve posted how much you’d receive every year. Cashflow is negative or less than zero, if you’re paying the other party (insurer / bank); while it’s positive or greater than zero when it’s you receiving the amount.
In XIRR estimation, it’s of paramount importance to set up the sign-convention just described above.
If cash is going away from you, then from your perspective, it's a negative cashflow, and must be entered with a negative sign. For example, paying premium or investing in markets. These amounts should be entered with negative sign, to denote negative cashflow.
If cash is coming towards you, or has the potential to come back to you; it's positive cashflow. Your bank deposit maturity amount, or your stock portfolio latest valuation (this is the amount you'd receive as cash if you were to place a sell order) etc. should be entered with positive sign in your spreadsheet, in context of XIRR calculation.
To the untrained eye, it looks as if each 1L instalment or premium doubling up in 20 years or so.
These numbers in policy terms aren’t far-fetched. Plenty of banks and insurers would happily offer you policies with similar terms and conditions. These would have catchy names too.
Looking at just these numbers presented to you, you won’t have any way of finding reasons to accept or reject it objectively.
That’s where XIRR can be of help.
Let’s calculate XIRR of this policy.
Steps to follow:
Copy the above table, as shared before, and paste it into a new spreadsheet.
At the bottom of the table, invoke the in-built xirr()
function as follows:
Here’s a video to guide you along:
The final results should resemble something like these screenshot(s):
While it might’ve seemed that initial investment practically doubling means 100% return, the computation would say otherwise.
In this case, it’s 3.52% p.a. growth in investor’s hands, over a ~30 year period.
Whether 3.52% p.a. is great or terrible, would depend on other alternative avenues for investments, available to an investor.
In US / Canada / EU, a bank offering such policy is pretty amazing; given most banks offer much lower interests on deposits than this.
In a country like India where inflation is higher, there might be options available with potential for higher growth over 30 year period.
It’s actually lower, 3.52% p.a.
This is because compounded growth is non-linear.
Now that we know this ~30 year policy has an effective rate of growth / return as 3.52% p.a.; we’d want to tweak various parameters of the policy wordings, and see how that affects XIRR of the policy.
After first 10 years of payment, there’s some gap of ~10 years. Imagine if the payout schedule were changed, so that payout starts from 11th year onward.
Updating entries in our spreadsheet, and invoking XIRR function, we get 7.17% p.a. as result.
Refer to these videos if you need help
When you're done, it should resemble something like these:
We find that moving the payouts ahead of original schedule has an effect on XIRR - it improves it.
This is consistent with what XIRR is supposed to capture. If your portfolio gains higher valuation earlier, XIRR computation is supposed to reflect that by returning a higher value for those set of transaction patterns.
Similarly, the following changes would also impact it:
Delaying the premium payments
Imagine if instead of paying 10L (₹1,000,000) over 10 years, in 10 instalments, the policy terms said the payment can be in 20 instalments, over 20 year periods, from 1st Jan 2021 to 1st Jan 2040, ₹50,000 per year.
This would also improve XIRR, because of delayed negative cashflow.
It’s left as an exercise to the reader, to verify the XIRR in this case, would be 4.55% p.a.
Increase payout amount
Imagine if instead of paying ₹200,000 per year from 1st Jan 2041 to 1st Jan 2050, the payout were actually of ₹250,000 (2.5L INR) every year, for 10 years.
This would improve XIRR, because of higher positive cashflow.
It’s left as an exercise to the reader, to verify the XIRR would be 4.68% p.a.
Both of the Above
If we did both of the above (spread out premium payments over 20 years, and increased the payout to 2.5L INR per year); it stands to reason the XIRR to be higher than both these scenarios individually.
It’s left as an exercise to the reader, to verify the XIRR would be 6.00% p.a.
Lumping the payout
Instead of paying ₹200,000 per year, for 10 years; what if the total amount of ₹2,000,000 (20L INR) was paid all at once at the beginning of payout period, i.e., 1st Jan 2041?
It stands to reason that since investor is receiving more value earlier, it’d improve XIRR from 3.52% p.a.
Verify that XIRR of this scheme would be 4.52% p.a.
What if the lumpsum one-time payout of 20L INR was made at the end of tentative payout period, i.e., on 1st Jan 2050?
Since investor is not getting access to any payout (positive cashflow) until then, it should reduce the XIRR from 3.52% p.a.
Verify that XIRR of this scheme would be 2.85% p.a.
Adding more payouts
A common policy offering is to offer annuity, or some form of pension, for life.
Assume this policy was being offered to a person whose age is 25 years, and expected to live till the age of 80. By 2076, they’re supposed to reach this age.
Now we’d tweak the policy to offer payout of ₹100,000 every year (same as premium payment), for life (which essentially means up to 1st Jan 2076), starting on same schedule as before, i.e. 1st Jan 2041.
This can certainly improve the XIRR from original scenario of 3.52% p.a., but by how much? Notice that we’ve halved the payout amount as well.
It can be verified that XIRR of this policy is 4.22% p.a.
What if this person lives up to age of 90, another 10 years, and collects annuity of ₹100,000 per year for 10 more years?
Verify that XIRR of this final updated policy would be 4.53% p.a.
Here are a few changes that won’t impact the XIRR
Change absolute value of the dates, but keeping relative differences same between those
Imagine if instead of 1st January 2021; the policy was to begin in 25th June, 1899.
This policy would have a premium payment of ₹100,000 for every year on same date, for 10 years, from 25th June, 1899; till 25th June, 1908.
Then from 25th June, 1919 onward, it’d have started paying out ₹200,000 to investor, same date every year, till 25th June, 1928.
Validate that this has no effect on XIRR. XIRR is rate of growth, it cannot depend on absolute value of time in year.
Scale up both premium payment and payout
Instead of ₹100,000 being premium amount, and ₹200,000 being payout amount; say we scale each value up by 10.
Insured person has to pay a yearly premium of ₹1,000,000 (10 Lakh INR), for 10 years. From 20th year onward, they’d receive ₹2,000,000 (20 Lakh INR), every year, for next 10 years.
Verify that this has same XIRR as before.
Just like XIRR doesn’t depend on the absolute value of time, only relative positioning of transaction dates with respect to one another; it doesn’t depend on exact value in each transaction - only relative valuation of purchased / redeemed amount in each transaction.
We’ve seen how XIRR captures time value of money.
It rewards these factors:
Earlier receipt or withdrawal / redemption of higher value from an investment.
Delayed negative cashflow (outflow of money) or investment, to achieve same final payout values.
If you invest more later to achieve same final redeem-able portfolio value; XIRR value for that set of transaction history would be higher.
Corresponding reverse scenarios would result in lower XIRR values.
It’s highly instructive to calculate potential XIRR of an investment, by listing cashflows at different periods, before embarking on it.
This would give you a better objective measure on how good or bad this investment could be, in comparison to other available options whose XIRR has already been computed.
CAGR captures asset price compounded growth rate. XIRR captures annualized portfolio growth rate. As we've seen and will be seeing in coming chapters, these two are different, and this distinction would matter to investors.
We’ve built an intuitive understanding of what affects XIRR in positive or negative way.
But we're yet to learn what XIRR mathematically is, because we haven't formally defined it.
In the next chapter, we’d learn how to visualize XIRR and model it with mathematical equations, to gain more insights on this incredibly useful metric.
We'll take a look at what CAGR is, how it works, and how we can compute CAGR of various listed assets.
So far, we’ve covered various computations, which mostly involved algebraic sum / multiplication / subtraction.
Except, these aren't enough.
We need to add new tools in our arsenal to fully unlock the powers of excel, to aid with our day-to-day financial decision-making process.
Learning about CAGR is only the first step towards that.
CAGR (Compound Annual Growth Rate) is a measure of how fast a value has been growing, assuming this value is probably a result of a compounding process.
This is a well known formula for calculating compound interest and we've been taught this back in school.
Let's see how we can use this in the real world of investments.
A common use of CAGR is to compute returns of a mutual fund or a stock portfolio watchlist (e.g. Smallcase).
Let's begin with a common one: 3 year (often written as 3Y, for short) return of a mutual fund.
Most mutual fund platforms report annualized returns for time periods greater than 1 year, while absolute percentage growth for time periods smaller than 1 year.
It's an accepted norm.
At exact 1 year mark, either can be reported, since both would be same (annualized and absolute return).
Returns above 1 year, are reported as annualized rate of growth, often appended with per annum (p.a., for short).
We know that index funds track the index. In rest of this chapter, we'd compute and compare CAGR of Nifty, and that of a Nifty index fund over an arbitrary period of time.
Notice the value under 3-Y column, noted as 13.72.
This is effectively 3Y CAGR of the fund. It means, as on 26th March, 2021; 3 year CAGR of this fund was 13.72% p.a.
Our task would be to do these:
validate this number, computing it ourselves
compare against CAGR of Nifty over same time period
We need historical NAV data for this.
One way we can obtain it via Google Finance. Ticker symbol for UTI Nifty Index Direct Growth is "MUTF_IN:UTI_NIFT_INDE_1HPGBNK"
.
Another option would be to use the AMFI endpoint for latest NAV, and ISIN of this fund to lookup the latest NAV, as we've discussed in a previous chapter.
But remember that CAGR needs only two data points. In this case, since we only need two data points, we can just manually look it up. And enter these two data point values into our excel sheet or spreadsheet manually.
Steps to follow:
Search for dates around 26th March, 2021 (select two dates, that are less than 90 days apart, and covers the given date); we find the latest NAV as 96.7892 for UTI Nifty Index Direct Growth. You could, for instance, select 1st March 2021 as one date, and 31st March 2021 as second date. These two dates are less than 90 days apart, and has the given date in its range.
Enter these info in a freshly created spreadsheet as follows:
We'd get this
However, the number of days between any two arbitrary dates cannot always be expressed as whole number of years. It might have leap-years, for example.
We see that computed value of 13.58% is quite close to 13.72% as reported, but we are not quite there yet.
On the other hand, growth rate computed using in-built formula is close to the reported value of 3Y return on ValueResearch Online portal.
Based on today's date, you might get a different value of latest NAV. You should use 3Y return as on today, and search for NAV as on dates near today's date, or dates from 3 years ago.
At the time of writing this, AMFI historic NAV provides NAV data on a maximum of 90 day period, at once. If you're searching for NAV for a particular date, adjust the start date and end date in a way, that would select any 90 day or smaller duration window, which covers that particular date.
We've used GOOGLEFINANCE()
to prepare this video for guidance
Now that we've verified CAGR of the index fund over 3 years, independently, and matched with reported CAGR on an aggregator portal, it's time to compare with Nifty CAGR over same period.
Once again, we can use GOOGLEFINANCE()
for getting historic Nifty price data. The ticker for Nifty can be "NIFTY_50"
or "INDEXNSE:NIFTY_50"
.
Final results as it can be
As you can see from this computation, the CAGR numbers of UTI Nifty Index Fund Direct Growth and the CAGR numbers for Nifty itself do not match.
In fact, this has nothing to do with the dates. You could select a different set of dates, 3 year apart and the return from Nifty Index fund would be slightly higher than Nifty 3Y CAGR.
In this case, 3Y CAGR as on 26th March 2021 is 13.73% p.a. for UTI Nifty Index Direct Growth. However, for Nifty itself, it’s slightly lower — 12.52% p.a.
This is expected!
An index fund tracks the TRI (Total Return Index), and not the vanilla price index, which is Nifty 50 in this case.
TRI is price index + dividends reinvested back to buy the index stocks.
Nifty TRI can be thought of as an answer to this query: what if we added a normalized version of dividend-per-share values back to the share prices of respective Nifty companies, and recomputed Nifty?
A Nifty index fund achieves this by reinvesting the dividends received from corporate actions, into buying more of Nifty stocks, in same proportion as these are in Nifty.
Therefore, over any given period of time
Nifty index funds can have slightly higher CAGR than Nifty itself.
If no dividends were announced by any of the companies in Nifty index, in that time period, it can be expected that Nifty index fund CAGR would be close to that of Nifty CAGR itself.
As time periods get longer (10Y / 15Y / 20Y), this difference becomes more and more stark between CAGR of Nifty and a Nifty index fund.
These have nothing special to do with Nifty itself. If you’d instead picked an S&P500 index fund, or a NASDAQ index fund - similar observations would’ve held true.
We can satisfy our curiosity, by comparing against Nifty TRI CAGR.
Similar to last two computations, we just have to switch the ticker.
Except, to the best of our knowledge, Google Finance has no ticker for Nifty TRI.
In other words, we’ve to manually find and enter these values in our sheet, to compute CAGR.
Plugging in values for the two dates manually, and computing as earlier, we get this
3Y CAGR of Nifty TRI, as on 26th March 2021, stands at 14.09% p.a.
This is much closer to the CAGR of UTI Nifty Index - Direct Growth.
However, the CAGR is slightly higher.
An index fund is supposed to mimic and replicate the TRI, but there are fees associated with managing an index fund, fees associated with purchasing and selling equities, and various logistical inefficiencies trying to replicate the index in real time during market hours.
Hence, CAGR over a given period for an index can be somewhat different in practice, there will be some tracking error with respect to the TRI.
We won’t discuss tracking error in detail here. But we’d emphasize tracking error can be both positive and negative in value.
In other words, due to inefficiencies in tracking the index, the CAGR of the index fund can be both higher or lower than CAGR of the TRI, over any given period.
Let's recall the original mathematical equation that we'd written above
To build a mental model of what this formula means, in below diagram, we can plot value against time. Value can be price of an asset, based on our context and use-case.
Value can be price of an asset, based on our context and use-case.
Notice that the growth doesn’t have to look like compounded growth. It's the other way around - we can model it or think of it as compounded growth.
This mathematical formula, just needs two values:
In fact, either of these two points in the Y-axis could be smaller / bigger than one another, or even be negative.
The mathematical formula above poses no restrictions on that front.
It’s a power-law formula.
Instead of plotting value vs time, we can plot logarithm of value against time.
We can use logarithmic identities (left to reader as an exercise, we won't show detail computation for that here) to arrive at the following formula
We can now update our diagram's Y-axis.
We shall now plot these price points in a graph where price values are logarithmic, and try to validate that our visual idea about CAGR holds true.
Since the Y-axis is in log scale, but X-axis is in normal scale; such plots are called semi-log plots. For it to be a log plot, both X and Y axes have to be in log scale.
Spreadsheets have fantastic charting / plotting abilities built in. You could use the Charting button on toolbar, or just select an area of cells which has data, then use Insert
→Chart
Refer to this video on how to get this working
We see from the videos / images above, that once we switch the Y-axis to logarithmic values, the three lines start to look parallel to each other.
Parallel lines have same slope, and since slope of these lines relate to CAGR of the underlying data set, through a logarithmic relationship; it stands to reason that these would seem parallel to the naked eye.
Notice that right up until the moment we converted Y-axis values to logarithmic scale, the line for UTI Nifty Index fund was nearly flat-lining, kissing the X-axis closely.
This was because compared to absolute values of Nifty or Nifty TRI, which are above 10k in this dataset, the NAV of this fund was barely even 100. It’d practically be dwarfed in a vanilla line graph.
However, once we switched to semi-log mode, all three lines started reflecting real growth over time in their tilt (or slope).
It should intuitively make it clear that absolute value of an underlying asset's price value is immaterial when you purchase it, or the range of absolute values it moves between; only thing that matters is the growth rate after you purchase the asset.
An asset whose price moves between 10 and 20, is not that different from an asset whose price moves between 10,000 and 20,000.
The downside of such visualization is unless the difference is stark, or a larger time periods are chosen; most such semi-log plots would result in near-parallel lines in a line graph.
We can use our visualization of CAGR as slope of semi-log plot, to understand maximum and minimum limits of CAGR.
We can build on this.
When it comes to spreadsheet / excel functionalities, in this chapter, we learned
how to draw semi-log plots
how to use RRI()
We have also gained new insights into a demystified process of return calculation.
The next time we see CAGR reported on any portal such as MoneyControl, ValueResearch Online, Morningstar, CRISIL, BSE India, Kuvera, Coin, PayTM Money, INDMoney, Piggy, ETMoney, or even Smallcase, we’d know how to compute and validate these numbers ourselves.
These platforms and portals are computing these numbers from historic NAV data they have obtained and now we can compute the same as well.
CAGR is a point-to-point metric. Given any two points in a plane, a straight line can always be drawn to connect those two points. This is one of the fundamental axioms of geometry, known as one of the core axiom of Axioms of Euclidean Plane Geometry.
It says nothing about the journey or price-movement in-between.
For instance, the computation above might have painted a rosy picture, that one might falsely assume Nifty can easily achieve 12.5%-14% p.a. return over a 3 year time period.
This is wrong, and dangerous to assume.
The actual journey of Nifty 50 index between those two dates, can be viewed as this (plotted using real Nifty price data, which can be obtained from Google Finance). This is also a semi-log plot, where the price axis (Y-axis) is consisted of log values of actual asset prices.
As Nifty TRI and Nifty index fund move closely with Nifty 50 itself, plotting these would lead to similar looking graphs, with lot of volatility.
What we’re doing when we compute CAGR, is to connect the starting point and last point on the graph with a straight line, then compute slope of that line.
Since two points on a plane can be connected with so many different lines and line segments (can even be curves), there are infinite possibilities of the journey within that time period, which CAGR computation won’t capture.
We’ve alluded to this in one of our previous chapters, where we had computed NASDAQ-based portfolio’s final value. Although the point-to-point return of NASDAQ was near zero in that case, the actual returns in a DCA / SIP portfolio were different and didn’t show up as one would expect looking at point-to-point returns.
Similarly, CAGR alone cannot produce any information on the price movement of an asset within a time period.
In next chapter, we’d be introduced to a more generalized measure, that captures more relevant information.
Closer look at CSV format, and how to operate on these to display in a table format, using SPLIT() and TRANSPOSE() functions
CSV stands for Comma Separated Values. It’s a text file, which has entries, separated by comma (,
).
The following is an example of transaction histories in comma-separated values format:
Notice the first line of the entry:
Think of these as the column headers in a table. If we use the comma as guiding split-points, then we can also write this as:
From second line onward, the values are entries in the table, below respective column headers.
Representing entires from the above CSV into a table, would look like this:
Think of CSV format as an efficient way of representing table-compatible data, in raw text files where table UI is not present.
A CSV dataset can be parsed into a table; assuming it's having some uniformity of entries, and properly indicates where a new row starts.
In a CSV, the ,
(comma) acts as a separator or split point.
But it need not always be a comma. Some CSV files use other non-alphanumeric separators, such as semicolon (;
), pipe (|
), bang (!
), period (.
), space ( ``) etc.
Importing CSV into Excel or Spreadsheet is straightforward.
However, we’d try to manually do it first.
Follow these steps:
Create a new sheet in Google Sheets
Add the first line of the CSV in a cell
Date, Folio Number, Name of the Fund, Order, Units, NAV, Current Nav, Amount (INR)
Notice how the text has spilled over the cell, as expected.
But how to get column headers out of this? It’s just text, all mashed into a single cell!
That's where the SPLIT()
function comes in
Spreadsheets provide an in-built function, SPLIT()
, to split a text based on a separator or delimiter.
Here’s link to detailed documentation of the function:
SPLIT()
takes a text, and the separator (which in this case, is comma or ,
).
We can invoke it as follows:
Notice the ""
around comma. Second argument to the SPLIT
function is a string. It needs to be wrapped in single-quote (''
) or double-quote(""
).
Use it as shown in the video (s) below.
Notice how the output of SPLIT()
function spreads the result into multiple cells, in same row.
Now that we know how to split a line into a row, we can combine with our knowledge of autofill via drag, and apply it on the entire dataset.
Start by pasting the entire CSV from above into your spreadsheet.
Use SPLIT()
as shown earlier, to derive first line of the table from comma-separated values
Drag the small square at the bottom of the first cell of this new line / row.
Refer to the video belo…wait a second!
The entire data is pasted into a single cell. Splitting it would only paste data into a single row.
It won’t be a table. It’d just be a row of data!
SPLIT()
can only break text into cells in same row.
We want data split into multiple rows, as well as multiple columns.
Enter another in-built function TRANSPOSE()
.
This is the documentation provided by Google Sheets team on TRANSPOSE()
function
It takes a row of data, and rotates that into a column of data
How does that help us?
While the single cell of data is just a long text, the split points are clear:
if it’s a SPACE
, then it’s a new line / row
if it’s a comma(,
), then it’s supposed to split into a new cell in same row
To break into multiple rows / lines, we’ve to split by SPACE, and transpose that.
However, it’s not as simple.
There are lot of spaces in that text. If we apply this logic presented above, it’d spread those in multiple rows as well.
For example, there’s ICICI Prudential Bluechip Growth Direct Plan
.
It’d split as follows
Then what do we do?
It’s easy to visualize where the split point should be, for a new row.
We know the SPLIT()
function to be able to split by any delimiter / separator.
In this case, it’s where the dates start (YYYY-MM-DD format) in that text / string.
We can manually add our own delimiter character, say, pipe (|
).
Adding a pipe operator, in that CSV string would help. break this down into rows. And from there, we could go for using our trusty TRANSPOSE()
, SPLIT()
along with auto-fill drag.
Here’s the CSV, but with |
delimiter added for each line-split
You might have to scroll horizontally, to view the full text.
Or use the code-copy button, to copy it in your clipboard, without having to scroll.
Then paste it in your spreadsheet, and do the following:
Use TRANSPOSE(SPLIT(cellId, "|"))
to split the text or string into a set of rows.
Create a set of cells calling SPLIT(cellId, ",")
on first row
Drag and auto-fill for each row created earlier
Refer to the video(s) below
Final result should look like as follows:
It might not always be feasible to do this manually.
In a real transaction history CSV export, there might be hundreds, if not thousands of transactions, over the years.
It’s simply not humanly possible to expect that manually adding a pipe (|
) delimiter is possible, and not error-prone (i.e., putting it out-of-place by mistake).
What if we could tell excel:
hey, see those YYYY-MM-DD dates? add a pipe delimiter just before that
OR
hey, see that word after every 7th comma? put a pipe delimiter just after that
We’ve to use regular expressions (aka RegEx) for these.
Discussing regular expressions are quite out of scope for this entire wiki, hence we won’t dabble in that. However, we do want to provide a brief overview.
We’d highly recommend checking out regular expression operator functions in google sheets, namely:
We won't be covering these in any detail here; because the next option is best. It's in-built, works for almost all CSV files, been around for years, if not decades.
Most commonly, you’d find yourself importing content of your CSV file directly into your spreadsheet, using import.
Here's a sample CSV file for you to download
Download test.csv
into your system
Go to File
→ Import
It’d open up a dialog box, to import a file
Select the last option, Upload
Use your file browser program or just drag and drop the CSV file in that
Spreadsheet would ask you for inputs on how to parse the CSV data in the file.
In most common cases, it’d be able to parse that correctly into a table.
In this case, we should provide separator type as comma
How’s this even possible?!
We spent so much time struggling with SPLIT()
, TRANSPOSE()
; then alluded to some scary regular expression stuff.
And in-built spreadsheet import figured out how to create the table, how to split in rows and columns in matter of seconds!
Well, you see, when you copy-paste a piece of text in a single cell, it loses some information already present in it.
This information is line split / line break. This is invisible to human eye. But this character is a special type of delimiter, that’d be present if we save the CSV as a text file.
Most spreadsheet or excel import programs are watching out for this special character:
if there’s a line-break character, put it in next row
if there’s comma, it goes in a new cell in same row
We lose this line-break character if we copy-paste entire CSV into a single cell.
We didn’t do it from the beginning, because under the hood, excel / spreadsheet would be using something akin to the core functionalities of SPLIT()
, TRANSPOSE()
etc. to do the layout.
This magic needed some DIY (Do It Yourself) explanation.
In this chapter, we learned
how to deal with CSV data
various separators
SPLIT()
, TRANSPOSE()
functions
CSV importing into a sheet as a table of data
It might feel as if there was no point to using these functions, when all this time we could have just used in-built import functionality.
Note that a CSV format might not always be a file you import. In a later chapter, we'd have to import CSV data from the web, which cannot be in a file format. SPLIT()
might come in handy in such situations.
In the next chapter, we'd pick up a real world problem, that's common for most mutual fund investors. CSV format would be at the heart of this problem statement.
Fetching data for ticker(s) using GOOGLEFINANCE() function in Google Spreadsheet
Almost all popular Excel-compatible applications, such as MS Excel or Google Sheets etc., allow programmatically fetching data from external sources.
What are external sources, in this context?
Anything external to your Excel sheet, is an external resource. It can be a database, another excel workbook, a file with data in it (CSV format), or an API endpoint out there on the internet.
There are even dedicated tools and services, like IFTTT, RapiAPI, Mixpanel etc., which offer a way to integrate lot of service endpoints with your excel sheet.
Plenty of economists point out how NASDAQ has stayed below its ATH (All Time High, i.e. a price value in time-series chart that's higher than all past values) of 2000s, for the next ~15 years, before reaching the same high around 2015-16.
In the above chart(s) / screenshot(s), if you check the horizontal line for 5000, it touches NASDAQ twice - once in 2000, again in 2015.
NASDAQ reached its peak value of approximately 5048.62 (closing price), on 10th March 2000; only to re-attain this same previous ATH again on 22nd May 2015.
However, people don’t invest once then wait 15 years for returns to materialize.
In this section, we’d look at how it’d have been like for the average retail investor, who had been investing with DCA (Dollar Cost Averaging, similar to SIP or Systematic Investing Plan, in Indian context).
This is a reasonable assumption to make. It's common for people to get monthly paychecks, and invest their savings via some automated process through their banks or brokers.
For the purpose of this exercise, we’d assume the following:
Purchase transactions for investments, are processed on 1st of month - from 1st April 2000, to 1st May 2015
We check investment corpus valuation as on the date of next time NASDAQ crosses its previous peak, i.e., 22nd May, 2015
Investor invests $1000 / month (exact amount would scale up or down, with this, so actual amount is not that important)
Our goal is to estimate if investor would've been in losses, or if they had made gains. And if so, how much in losses or gains.
It is instructive to plan a bit ahead, before we start modeling this problem with a spreadsheet. Whenever you find yourself in a position having to create an excel sheet, start with planning first.
In planning phase, we’d think of what we ideally need to model this problem.
Based on preliminary analysis, it’s obvious we’d be getting NASDAQ data from Google Finance, using GOOGLEFINANCE
function.
But how much data? If we are simulating the transactions over 15 years, do we need data for everyday markets were open, for 15 years!?
Turns out, an investor would invest (15 x 12 + 1) = 181 times, both start date of 1st April 2000 and end date of 1st April 2015 included. In this particular case, one extra transaction for month of May in 2015; therefore 182 total transactions.
On top of this, we’d need to know NASDAQ price of 22nd May 2015, adding one more data point / row in the sheet - total 183 rows.
Which price should we consider? Generally, a ticker like NASDAQ can have data every second, but since we’re trying to simulate the situation for an average investor, let’s consider closing price of NASDAQ on each day.
Now comes an interesting impediment we should consider - what if 1st of the month was a public holiday / non-business day / weekend? Markets weren’t open, hence data won’t be available for such a day.
In this case, the transaction would be processed on the next available business day. How do we find out if a given day, say 1st November 2004, was a business day or not? More importantly, if it wasn’t a business day, what was the next business day? 2nd Nov, or 3rd Nov, or 4th Nov?
Fortunately, there’s an in-built solution for this, which we’d discuss in some detail later.
Our approach:
Get data for NASDAQ ticker from Google Finance, starting from 1st April 2000, up to 22nd May 2015, 182 data points.
It’d create 182 rows.
We would need 5 columns for the following purposes:
date
actual date of investment
cashflow / amount
($1000 every month)
nasdaq closing price that day
units purchased
Finally, in one last row, we’d invoke the in-built SUM
formula, to add up all units purchased over the years. Then multiply it by NASDAQ closing price, as on 22nd May 2015, to get corpus value as on that date.
Follow these steps, to execute the plan that we've just made above.
Create a new sheet in Google Sheet. We’d refer to it as the sheet , going forward.
Start with creating five column headers:
Date
Actual Date
Cashflow
Price
Units
Reason to create an extra date column as the second column, is to also list actual date of investment. It can be 1st of month, or first working day after 1st of month, if 1st of month is a holiday.
Before we proceed any further, we’d like to figure out how date formatting works in Google Sheet, and get a taste of what fetched data from GOOGLEFINANCE
looks like.
Follow these steps:
Try adding a date in your sheet: 1st April, 2000. In this example, we’re writing it as 01/04/2000
(in DD/MM/YYYY
format). But you’re free to use any format that’s commonly used.
Double tap or double-click on this. If the date entry is correct, Google Sheets should realize that it’s pointing to April 1st, 2000.
Chances are, it might detect it as 4th January, 2000. Or might not even detect it as a date at all!
A good way to inform your sheet that this entry be treated like a date, is to use formatting, and providing the date format.
Use Format
-> Number
-> Date
for that. If DD/MM/YYYY
is not listed as a format, you’d have to add it with custom format, under Format
-> Number
-> More Formats
-> More Date and Time Formats
.
Alternatively, you can use the calendar pop-up widget to select April 1st, 2000. It might not be in desired format, but we can easily work around that.
Once we’ve entered a valid date and it’s been recognized by Excel to be a valid calendar date, we can invoke in-built GOOGLEFINANCE
function.
=GOOGLEFINANCE(".IXIC", "close", <date>, 1)
".IXIC"
is the indicator / ticker for NASDAQ on Google Finance. You can replace this with other tickers, like "GOOG"
, or "MSFT"
, or "TSLA"
; to fetch data for these tickers.
"close"
means closing market price. Other values can be "low"
(lowest price of that day), "high"
(highest price of that day) etc.
Here, <date>
means referring to the cell which has the date in. Since we’ve made sure it’s by system as a valid date, the Google Finance API would be able to use it.
Notice the usage of ""
to wrap various texts inside the function. We could have also used single quotes (''
) to wrap these texts.
The last argument, 1
, is interesting, and takes care of our issue from earlier, about knowing working date on or after 1st of month.
It basically tells Google Finance to return one single data entry. Check what happens if you switch this to 7
or any other higher number.
If a date is not a business day, Google Finance won’t have data for NASDAQ closing price on that date. Instead, it’d look for 1 dataset for next available working day, which is exactly what we want!
Once you enter these in a cell, link to the date from the other cell; and hit Enter
or Return
on your keyboard; the cell would switch to display Loading...
, then print a small sub-table that looks like this:
Since GOOGLEFINANCE
returns a table, and not just a single data, we need to find a way to extract right data from these and put these in two cells.
In particular, we need two data points from this table:
the actual date (in this example, 1st April 2000 was an off-day for the market, markets opened again on 3rd April 2000)
price on that date
Enter another popular in-built formula, that extracts value from table & sub-tables - INDEX
We’re receiving data for only a single trading day, as confirmed by 4th argument to the GOOGLEFINANCE
function. This is how the sub-table returned by GOOGLEFINANCE()
function would look like.
We're interested in the closing price, 4223.68 on 3rd April 2000.
Therefore, this table returned by Google Finance would always have closing price at (2,2) position.
Here (2, 2) means 2nd row, 2nd column.
We can take the result of GOOGLEFINANCE
call, and pass it into INDEX
function, like this
But instead of two calls, spread over two cells, we can also inline it
Similarly, for the actual date
column, we use (2,1) with INDEX
:
=INDEX(GOOGLEFINANCE(".IXIC", "close", <date cell>, 1), 2, 1)
Also refer to following video
Now that we’ve figured out how to get the necessary data for one single row, we can get the same for all our other rows / dates.
Excel is good at detecting patterns and if you use the drag option, it fills the rows with closest value it can deduce.
Here, we want to create dates that are one month apart.
To help Excel understand this pattern, one needs to enter the date of next month; i.e., 1st May, 2000; and then let Excel drag do its thing.
Presently, this is how the table looks in Excel:
We can add one more entry in the first column, below current row.
Now select these two dates, drag by the swollen rectangle at the bottom right border. Since we’d have 182 data points that follow the pattern of being one month apart; if the starting row is 4, where we have to stop dragging for auto-filling is (182 + 4 - 1) = 185. Basically, keep dragging and auto-filling until you reach 1st May 2015. If you exceed this exact date while dragging and auto-filling; after releasing the mouse / trackpad pointer, you can select the extra date entries, and delete those.
Once this is done, we are about to make Google Finance fetch us all data of all these 182 days (or nearest trading days).
Go to first entry in Actual Date
column, drag the small square till you get to the end of it, so that there’s a Date
entry for each of the entry in Actual Date
.
⚠️ 🚨 Some cells might have #NA
and say that there’s an error in getting data from Google Finance. This is a quirk of the GOOGLEFINANCE()
query. This can be fixed easily, but would require some manual intervention.
Notice that we’re wrapping the result of Google Finance query, in INDEX
, and extracting the entry from cell (2,1) for actual date.
It actually doesn't matter how many rows of data we request from Google finance, we would still find closing price nearest trading day on or after the provided date.
Double-click on one such cell, change 1
to 2
in last argument in GOOGLEFINANCE()
. In one case, we had to change that to 3
.
The formula would now read like:
=INDEX(GOOGLEFINANCE(".IXIC", "close", <date cell>, 2), 2, 1)
Similarly, drag and auto-fill the price column. Fix #NA
cells by tweaking the GOOGLEFINANCE()
query.
Here’s how it could look like now (a section from the sheet)
This is a common problem with this spreadsheet function, and others have solved it with different approaches.
For example, this following stackoverflow answer suggests using IFERROR()
function to re-run same query multiple times, until the #NA
is resolved.
In the Cashflow
column, enter 1000
in first row. Enter same 1000
again in second row.
Select both of these, so Excel can understand the pattern (in this case, the value of 1000), and drag the small square at the bottom right to fill all the cells.
This is how the table should look like now (a small section from the sheet)
We've avoided using any units for currency, such as $
. Just plain 1000, with no units.
Now we just need to fill out the last column
Number of units purchased would be same as cashflow divided by price.
Note that just like multiplication is not x
, rather denoted by *
(asterisk); division is denoted by /
(front slash), and not any division symbol.
In the first row, add formula starting with =
, then D4 / E4
(E4 is the cell with price, D4 is the cell with cashflow).
After dragging and filling all cells against each date, this is how the table should look like (a section from the table)
At this point, all five columns should be filled, for all 182 rows
Finally, we need to tally the values as on 22nd May 2015
At the bottom of the sheet, where the last row has ended for date 01/05/2015
- below that, in a new row, add an entry for 22nd May 2015.
If you run into issues with date formatting, just copy a date, then use the calendar widget to navigate to 22nd May, 2015.
This value should be in the first column, Date
.
In second column, we’d invoke the Google Finance formula as we did earlier. You could also just drag from the previous cell above it.
Similarly, drag the price column value to update the price value for 22nd May 2015.
Keep the cashflow column empty (no investment on that day).
In the units column, for this last row, invoke the =SUM
function to add up all units, listed above that cell.
It should sum up as 79.00688187
units.
We are almost there.
Total valuation would be total number of units, multiplied by price as on 22nd May 2015.
Refer to below image(s)
Overall, total invested amount would’ve been 182,000 USD. And the valuation of corpus as on 22nd May 2015, would have been 402,095 USD.
We had hardcoded ".IXIC"
ticker everywhere in the GOOGLEFINANCE
call.
This would limit us from analyzing other similar scenarios.
A good option would be to keep the ticker in a cell, then refer to it directly in the formula.
We know Excel reacts to changes and updates the interface, hence we can also repeat the same with index funds (VTI, VOO etc.), or other tickers like "NASDAQ:MSFT"
(Microsoft Corp.) or "NASDAQ:GOOG"
(Google) etc. - just by updating the ticker.
You might want to re-do the whole sheet with this change. With the power of drag and auto-fill, it shouldn’t take you more than a few mins to tweak it this way!
The goal of this exercise was to learn how to fetch data in Excel, and use that to evaluate statements such as NASDAQ traded below its 2000 peak for 15 years.
Here’s the wrong takeaway: DCA / SIP is better than lumpsum investments, always.
Here’s the right takeaway: Returns in the investor’s portfolio from same asset, over same time period, can be very different from point-to-point return of that asset.
We learned how to compose Excel functions, because we wrapped output of GOOGLEFINANCE
in INDEX
. This is effectively f(g(x))
.
It can help you build powerful primitives. Towards the end, getting an extra data point for NASDAQ on 22nd May 2015, was as simple as just dragging a cell - that’s how powerful Excel can be!
However, be cautious in using this pattern. If you’re building excel trackers, such complex expressions can be hard to read and maintain.
You yourself would be afraid of touching and changing the Excel file months down the road.
There’s no harm in breaking it into an intermediate expression. It might make it more easily readable.
A close look at how to parse CSV data dumps and process the same in your excel sheet or spreadsheet
In the previous chapter, we've seen how to get historical market data from Google Finance API.
We used GOOGLEFINANCE()
function to get NASDAQ ticker data, over a given period of time.
However, you might have also noticed that this is not a highly available function. Often it can error out, and we might have to manually fix these #NA
errors.
This is true for most publicly freely available APIs - it'd either be rate-limited, or not always be available.
In the real world, when we want to achieve something solving a common pain-point, external data might not be always available from a REST (or SOAP) API endpoint. It might not even be desirable to have it be available from a REST endpoint.
Imagine if the problem statement were to compare your portfolio performance against that of an index.
In that case, there would be two aspects to this exercise:
importing your existing transaction history
simulating purchase or sell transactions against an index
The first aspect - importing your existing transactions - might not be available from an API endpoint.
You might be using a broker or distributor or advisor, who provides you a transaction reports in a specific format, periodically.
Basically, you’d have a file which has your transactions in a specific format, and before you run any operations on that; you’d have to import that into your spreadsheet.
We could, for instance, just open the file and copy-paste data from there into our spreadsheet. But this can be error-prone, and might require more work.
Fortunately, most spreadsheet / excel applications have in-built functionalities to do a best-effort import for common data formats that your broker / distributor / advisor would typically use to send you these transaction histories.
We'd go over some interesting calculations that can be done upon your transaction history, that's available in CSV format, in these chapters:
Part one of Zero to Investing series : for absolute beginners starting out with investing
You're at level zero, if you've basic idea about bank accounts, or maybe some idea about FD, have heard about SIP stuff, and that is it.
Otherwise, we'd assume you're a well-earning professional, protected by parents. Who are also likely to not have great ideas about money management.
These are some common ideas you probably hold dear
Buy your house first
Real estate is the best investment
FDs are the best, even better if you invest in FD in your spouse's name ,to save tax
Gold is the best hedge against inflation, it always goes up
Let’s start with the most basic question.
Why do you earn money?
Why have you studied so much (12+3+2 or 12+4+/-2, we have added MBA level to a graduate or engineering graduate). Even longer, if you're in medicine.
In short, 17-18 years of studies. Plus add 2/3 years of working. And yet, there are not equal minutes to have really read and understand how to manage all that money that has been earned and will be earned in the future.
We earn money as professionals, because that is what our parents / peers / society etc. have trained us to do.
That is what has been passively shaped by everyone around us, but not by us internally. Our environment gives us ideas about how to get a good earning career, or how to have a good CV to get into a good company, how to shape our personality, etc.
And then how to save or invest, etc. Everything passive, bombarded by messages from all around us. The result is, if someone asks us anything about it, we even feel proud that we don’t know anything about money management.
Since we don’t know anything about it, and when we are starting to dip our toes in this ocean of information about money management, it's scary.
It turns into an analysis paralysis - since I don’t know what to do, I'll do nothing.
Some will keep kicking the can down the road, without taking any money management decisions themselves. Some would do what their bank RM or LIC uncle tell them to do. Most would continue to find topic of money quite boring and mundane, something they'd prefer never have to deal with.
If you want to buy things you want, you have to save.
This was our first lesson in savings and investment.
We'll be writing about someone who has got some amount but don’t know how to start managing it. Rather than someone who is about to start.
Bank Account: The earned amount is sitting in the savings account and earning a measly 3%-3.5% (tax free up to 10-15,000 – whatever govt has limited, as such the amount is small). This money is relatively safe. Relatively, because in today’s world of online banking and debit cards, the risk is non-zero.
So where to start?
Let us first understand some basics:
Savings Options are FD/RD (Fixed Deposit / Recurring Deposit), NSC (National Savings Certificate), PPF (Public Provident Fund), private companies FD (like Shriram finance, Bajaj Finance, and others) and mutual funds categories which deal with bonds (also known as debt papers).
All these are called Debt instruments. Basically, you give your money (called principal amount) to the other party (govt, bank, private company), and they promise to give a certain percentage of returns over and above the principal amount. So, you give them P (principal) and then give back P + I (principal and interest) after a period of time.
An example of FD: you give the bank 10,000 today. And the bank promises to give you 10,000 and 7% (700) after 1 year.
An example of RD: you give the bank 1,000 every month, and the bank promises to give you 12,000 (1,000 x 12 months) and around 400 additionally as interest. This is back of the envelop calculation.
Moreover, you have to pay income tax on those 700 and 400 rs. Just try to understand how difficult it is to earn money on the savings amounts and which when subjected to tax, comes out to how little. In this case, if you are in 30% bracket, then you are getting only 490 and 280 rs finally, after you have saved that amount of money for 1 year.
The corollary is since you have not been investing at all, you are not even getting that amount till now. Not even those measly 490 and 280 even all these years.
I will cut short the other options, because they are as pathetic for someone of your condition.
The “best” option right now to move that money out of the rut is to put majority of money into a liquid mutual fund.
Why that thing? Because they are:
Diversified Basically, Liquid MFs keep money into a large number of different areas, so that if one area goes bad (recent news like IL&FS, or CoVid crash), then your entire corpus is not in jeopardy all at once. The more diversified the money is kept, better is the protection (this is a general rule, but there are exceptions, which we'd get to later).
In general, you can earn more than FD, both as amount of interest as well as with less tax, if you keep the money in there for >3 years. (Update: Starting from 1st April, 2023, debt funds will no longer provide long-term tax benefits if held for >3 years. However, they are still better than FDs as taxes are only accrued on redemption and not annually)
Third and most important, the money withdrawal is flexible. You want to redeem only 5,000 INR, you can. You want to take out 1L, you can (of course, you should have more than 1 lakh invested). You want to remove the entire amount and see it in your balance, you can do that as well
You will receive money only the next working day from liquid mutual fund. For smaller amounts, (<50,000 INR, or 90% of your investments, whichever is smaller), most liquid MFs have the facility of 24x7 instant redemption via IMPS, which is a great thing.
Solution: so, for that person with 24L, we advised him to keep 3L in savings account (he had been seeing that huge amount in his account statement, so just could not ask him to remove everything. It would have been a shock to him), keep three 1L FDs of similar maturity and rest 18L in ICICI Prudential liquid fund.
We're giving a specific name here, because there are so many options in that category, that it again causes action paralysis of which one to choose.
Other one which we can recommend is Parag Parikh liquid fund (because they have put most of their portfolio, mostly in the SOV-rated RBI papers; which if you don't know what is, know that it's the safest piece of debt instruments out there).
From other analysis available on the internet, Quantum’s liquid fund is a good idea.
Well, fear not, this is where Excel’s famous drag operation comes in
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What we want to draw your attention upon, is the fact that you might’ve intuitively believed that 100% return over ~20 years would mean = 5% p.a. return.
Alternatively, 5% p.a. compounded growth over 20 years would result in absolute growth.
Let's assume value at the beginning of a time period was , and if it changed to over a period of time , then CAGR or the rate of this growth, can be formulated as:
Where, is the annualized rate of growth or CAGR.
Rearranging this equation for , we get
In the above formula, is greater than 1. If we want the value of to be between 0 and 1 (and not 0 and 100 as is usually expressed in percentage notation), we can remove multiplication by 100 from the formula. Either choice is fine.
From ValueResearch Online, ( | ) has 3Y return of 13.72% p.a., as on 26th Mar 2021. Exact date is important, since this 3Y return value would change with date.
Head over to AMFI historic NAV page URL: This is different from other AMFI links / URLs we've seen in the past. It's a dedicated URL, where AMFI offers the user an option to select date range, fund name etc.; and receive NAV of a given fund between those two dates, both inclusive.
Spreadsheet doesn't have an in-built CAGR()
function, but we can make do with RRI()
function for now (we'd see better options in a later chapter). | | Invoke it as RRI( 3, <cellID for value from 3 years ago>, <cellID for value as on today> )
But instead of using the RRI()
function, we could directly use the mathematical formula as we'd discussed above: being the value on given date, is the value on given date 3 years ago; and is 3, for 3 years.
Notice that we've used 0.33 for , to denote . This is not correct. We could get more accurate estimation, directly using instead of using 0.33.
For more information on exactly how Nifty TRI is computed, you can refer to details on NSE India official website: | |
We can obtain these from official NSE India website for historic data on TRI:
And on top of that, time it took to go from to
However, in the above graph, we’ve no way of visualizing or placing , the rate of growth (CAGR).
Discussing logarithm in detail, is out of scope for our wiki. However, if you'd like to brush up on basic logarithms, we highly recommend checking out this
Note that we can take of expressions on both sides of the equation only if both sides are positive numbers.
Logarithm, or for short, cannot be used on negative numbers — it results in complex numbers, which we don't need to deal with in context of investments and finance.
In the above equation, taking on both sides, we get
This is effectively the straight line equation, similar to . In this scenario, is effectively the X-axis, while Y-axis is .
We have plotted of values (Y-axis) versus time (X-axis). Then we've joined the start point and end point with a dotted straight-line.
The slope of a straight line joining those two points and , is , and can be used to compute .
CAGR directly relates to slope or tilt of a straight line joining two points, in a semi-log plot of asset prices. If slope is known, can be computed; and vice-versa.
Also, higher and lower slope of the joining straight line correspond to higher and lower values of , respectively.
In the above image(s), the final value can be any one of , , , . There are more possibilities - in fact, there are infinite possibilities between that semi-circle.
Can it go backwards? No. As in, the point cannot have a lower X-axis value than , since X-axis is time, and we cannot go back in time for final value of the asset.
Best case scenario is depicted by the line starting at and ending at . This line has a slope or tilt of (positive infinity).
Plugging this in our formula, we get . Which resolves to being an infinitely large positive value.
Worst case scenario is depicted by the line starting at and ending at . This line has a slope or tilt of (negative infinity). Similarly, plugging this in the equation, we get to be a very large negative value, approaching negative infinity.
Theoretical limits of CAGR can be any value between and . Most of us wrongly assume, that annual compounded growth rate cannot be higher than 100% p.a. or -100% p.a. As we just saw, it can be any real number.
What if the slope of the line is zero? A straight line in the semi-log plot, that's parallel to X-axis or the axis of time. In this case, would also be zero. In other words, if there's no net growth over a certain period of time (starting and final value in Y-axis is same), then CAGR of that asset price is zero over that period of time.
A 100% p.a. return denotes price doubling every year. What would slope of this line even look like for a 100% p.a. CAGR? Plugging in our above formula, we get slope to be .
If the logarithm base is 10, then the angle of slope is effectively , or . If the base of logarithm is , then angle of slope is , or .
In a semi-log plot where prices are logarithm of base-10, the realistic expectation would look like this. Most start and end points would be between the angular area to or to , while other areas outside of this region would remain largely unreachable for most common assets.
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to just copy-paste an endpoint URL, and fetch data from that.
With Google Sheets, one might need to write some to fetch and process data from a remote endpoint, before feeding that back to the sheet.
In this section, we’d keep ourselves limited to GOOGLEFINANCE
function, that fetches financial data from . And preferably, use ; because most likely, your MS Excel application doesn't come with this in-built function.
©️ 🔒 Do go through usage restriction section in GOOGLEFINANCE()
, to make sure you using this in your spreadsheets, is compliant with Google's terms of usage.
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Investor would've made ~1.2x of original invested corpus in gain
Apple
3
20.00
60.00
Egg
12
5.00
60.00
Milk
2
76.00
152.00
Onion
20
7.00
140.00
Total
412.00
01-Jan-2021
-100,000
01-Jan-2022
-100,000
01-Jan-2023
-100,000
01-Jan-2024
-100,000
01-Jan-2025
-100,000
01-Jan-2026
-100,000
01-Jan-2027
-100,000
01-Jan-2028
-100,000
01-Jan-2029
-100,000
01-Jan-2030
-100,000
01-Jan-2041
200,000
01-Jan-2042
200,000
01-Jan-2043
200,000
01-Jan-2044
200,000
01-Jan-2045
200,000
01-Jan-2046
200,000
01-Jan-2047
200,000
01-Jan-2048
200,000
01-Jan-2049
200,000
01-Jan-2050
200,000
01-Jan-2021
-100,000
01-Jan-2022
-100,000
01-Jan-2023
-100,000
01-Jan-2024
-100,000
01-Jan-2025
-100,000
01-Jan-2026
-100,000
01-Jan-2027
-100,000
01-Jan-2028
-100,000
01-Jan-2029
-100,000
01-Jan-2030
-100,000
01-Jan-2031
200,000
01-Jan-2032
200,000
01-Jan-2033
200,000
01-Jan-2034
200,000
01-Jan-2035
200,000
01-Jan-2036
200,000
01-Jan-2037
200,000
01-Jan-2038
200,000
01-Jan-2039
200,000
01-Jan-2040
200,000
01-Jan-2041
200,000
Original Policy
3.52%
NA
Early payouts, starting right after premium payment term ends
7.17%
▲
Spreading premium payments over 20 years
4.55%
▲
Increase policy payout from 2L to 2.5L per year
4.68%
▲
Both spreading premium payments over 20 years and increase in policy payout amount from 2L to 2.5L
6.00%
▲
Paying out all 20L at once on 01/01/2041
4.52%
▲
Paying out all 20L at once on 01/01/2050
2.85%
▼
Halve the payout, add more payout till 2076
4.22%
▲
Halve the payout, add more payout till 2086
4.53%
▲
Change exact dates, but keep date differences same between them
3.52%
Same
Scale up exact premium, and payout, up to 10x
3.52%
Same
26/03/2018
65.7954
26/03/2021
96.7892
2020-08-20
123456789
ICICI Prudential Bluechip Growth Direct Plan
buy
55.432
45.10
58.7
2500.0
2019-08-26
123456789
ICICI Prudential Bluechip Growth Direct Plan
buy
58.343
42.85
58.7
2500.0
2018-08-24
123456789
ICICI Prudential Bluechip Growth Direct Plan
buy
55.853
44.76
58.7
2500.0
2018-08-17
123456788
Aditya Birla Sun Life Frontline Equity Growth Direct Plan
buy
10.41
240.15
307.63
2500.0
2017-10-06
123456789
ICICI Prudential Bluechip Growth Direct Plan
buy
126.167
39.63
58.7
5000.0
2017-09-11
1234567891
SBI Blue Chip Growth Plan
buy
26.968
37.0803
53.0466
1000.0
2017-08-10
1234567891
SBI Blue Chip Growth Plan
buy
27.866
35.8865
53.0466
1000.0
2017-07-10
1234567891
SBI Blue Chip Growth Plan
buy
28.022
35.6867
53.0466
1000.0
2017-06-12
1234567891
SBI Blue Chip Growth Plan
buy
28.373
35.2445
53.0466
1000.0
2017-05-10
1234567891
SBI Blue Chip Growth Plan
buy
28.815
34.7041
53.0466
1000.0
2017-04-10
1234567891
SBI Blue Chip Growth Plan
buy
29.591
33.7945
53.0466
1000.0
2017-03-10
1234567891
SBI Blue Chip Growth Plan
buy
30.903
32.3593
53.0466
1000.0
2017-02-10
1234567891
SBI Blue Chip Growth Plan
buy
31.033
32.2233
53.0466
1000.0
2017-01-10
1234567891
SBI Blue Chip Growth Plan
buy
32.842
30.4492
53.0466
1000.0
ICICI
Prudential
Bluechip
Growth
Direct
Plan
03/04/2000 16:00:00
4223.68
03/04/2000 16:00:00
4223.68
01/04/2000
03/04/2000
4223.68
01/04/2000
03/04/2000
4223.68
01/05/2000
01/12/2004
01/12/2004
2138.23
01/01/2005
03/01/2005
2152.15
01/02/2005
01/02/2005
2068.7
01/03/2005
01/03/2005
2071.25
01/04/2005
01/04/2005
1984.81
01/05/2005
02/05/2005
1928.65
01/06/2005
01/06/2005
2087.86
01/07/2005
01/07/2005
2057.37
01/08/2005
01/08/2005
2195.38
01/12/2004
01/12/2004
1000
2138.23
01/01/2005
03/01/2005
1000
2152.15
01/02/2005
01/02/2005
1000
2068.7
01/03/2005
01/03/2005
1000
2071.25
01/04/2005
01/04/2005
1000
1984.81
01/05/2005
02/05/2005
1000
1928.65
01/06/2005
01/06/2005
1000
2087.86
01/07/2005
01/07/2005
1000
2057.37
01/08/2005
01/08/2005
1000
2195.38
01/12/2004
01/12/2004
1000
2138.23
0.4676765362
01/01/2005
03/01/2005
1000
2152.15
0.4646516274
01/02/2005
01/02/2005
1000
2068.7
0.4833953691
01/03/2005
01/03/2005
1000
2071.25
0.4828002414
01/04/2005
01/04/2005
1000
1984.81
0.5038265627
01/05/2005
02/05/2005
1000
1928.65
0.5184973946
01/06/2005
01/06/2005
1000
2087.86
0.4789593172
01/07/2005
01/07/2005
1000
2057.37
0.4860574423
01/08/2005
01/08/2005
1000
2195.38
0.4555020088
Total Units
79.00688187
Total Valuation
402094.4643
List of recommended reading material.
Recommended Reading List:
Ben Graham – The Intelligent Investor (and Security Analysis).
Phil Fisher – Common Stocks and Uncommon Profits and Other Writings. His son Ken Fisher’s book (The Only three Questions That Count) is also very good.
Warren Buffett’s Shareholder Letters & The Essays of Warren Buffett.
Charlie Munger – Poor Charlie’s Almanack.
Seth Klarman – Margin of Safety.
Howard Marks – The Most Important Thing. and Memos.
George Soros – The Alchemy of Finance
Peter Lynch – Beating the Wall Street & One Up On Wall Street.
Joel Greenblatt – The Little Book that Beats the Market (there is another book The Little Book that Still Beats the Market). & You Can Be A Stock Market Genius.
Nassim Taleb – The Black Swan and Fooled by Randomness.
William Bernstein – The Four Pillars of Investing and The Investor’s Manifesto.
John C Bogle – Common Sense on Mutual Funds.
Charles Ellis – Winning the Loser’s Game.
David Dremen - Contrarian Investment Strategies The Next Generation.
Robert Shiller – Irrational Exuberance
Jeremy Seigel – Stocks for the Long Run.
Martin Whitman – The Aggressive Conservative Investor
John Kenneth Galbraith - A Short History of Financial Euphoria.
Extraordinary Popular Delusions and the Madness of Crowds (by Charles Mackay).
Reminiscences of a Stock Operator (by Edwin Lefevre).
Andrew Tobias - The Only Investment guide You’ll Ever Need. This is a very small book and good for beginners.
David Einhorn - Fooling Some of the People All of the Time
James Montier – The Little Book of Behavioral Investing. His work.
Michael Mauboussin – More than You Know.
Daniel Kahneman – Thinking Fast and Slow.
For some interesting concepts: Rich Dad Poor Dad - Robert Kiyosaki.
How to Lie with Statistics by Darrell Huff (1954 book). It is a must-read. Summary Here.
Jeffrey Gundlach – A short intro. His Work. Ray Dalio – Principles
Anyone who has no idea about how to start investing can start with this
WARNING: This section of the wiki needs an overhaul and the information presented in this section may not be up to date or reflect the current state of affairs. However, the concepts presented in this section should still hold true and valuable.
If you're interested in making this section better, send us a message on our Discord server.
Now that we want to park the money into a more flexible instrument, we can proceed to next options. You focus on what can go wrong and take care of it first.
Take a decent amount of health insurance (more correctly called Sickness Insurance, since what it means is that when you get sick and get admitted in a hospital, then you get part or all of the medical expenditure you did).
To shortlist the options, I checked coverfox.com with the following options:
Amount – 5L
Age – I put in 30 years for husband and wife, just to have an idea.
No room rent limit (many policies have sublimits like 1% of cover for daily room, etc. This means for a 5L policy, the daily limit for room would be 5000 a day. Anything above will not be paid to you back). So avoid such sublimits. More about this in the comment in this old writeup.
No copay. This means you will have to pay part of the whole bill. Avoid.
No Maternity benefits. Even if you are planning to have kid, avoid plans with such benefits because they are much more expensive and it is better to pay such expenses from the pocket rather than get them reimbursed.
No restore / refill benefits. Please ignore.
Pre-existing disease coverage – this is not important. For young people, this option is not important.
Ignore options like Day-care treatment, Home care, Annual checkups, Ambulance expenses, Dental treatment, Spectacle care (I mean these are a thing nowadays!).
For more research, please check into some of the resources mentioned in [Freefincal's Free Resources Page](https://freefincal.com/select-the-right-health-insurance-policy-with-these-free-resources/). Do read the policy documents for the exclusions and also the list of hospitals in your area. And buy it ASAP (max 3 days research, or 1 weekend).
What is life insurance? Basically this is an income replacement insurance and not a “life” insurance. The life of a person is invaluable and cannot be replaced by money. What we want is to have a lumpsum amount of money when the bread-winner dies, which can substitute for the income lost due to his absence.
Sidenote: Yes, in today’s world, both husband and wife earn and are equal/unequal bread-winners. But because of socially accepted more responsibilities of the wife, I do feel that husband should have higher coverage than wife’s. The importance of the wife in the family is so high that she cannot be replaced while I expect the husband to be more financially savvy, so if the wife dies, the husband can manage without that lumpsum due to life insurance of the wife. But if you want, have coverages for both husband and wife.
Buy pure term insurance. In simple words, this plan/policy means that the company will pay you an amount X (called Cover amount), if the policy holder dies within a defined term (10-40 years), and for that it will ask you to pay the insurance amount (called Premium) every year. Typically, the amounts range from 500-1000x.
Eg. If you are a 30 year old male, non-smoker, and you want a 1 crore life cover for 30 years, then you would need to pay around 10,000 a year. This makes to an amount of 3,00,000 over 30 years to be paid if the person does not die. While you die anytime from the start of the policy, then the family gets paid 1,00,00,000 (= 1 crore). If you don’t die, then those 3 lakhs have gone to the insurance company and it is your loss. Please ignore this loss. Let this loss occur, since I am pretty sure, no one wants to die!
Any other option than pure term insurance is more expensive. And ignore all such options like life return of premium, money-back, step up, step down, investment-insurance, etc. With the kind of marketing prowess of the insurance companies, there are so many terms that it is much easier to ignore all those things.
An example of a money-back policy will be with the same conditions of 30 year old male, 30 year policy of 1 crore would have a premium of 2-3lakhs per year, yes per year.
These days, most of the companies have some form of Direct plans in which you can buy the policy directly from the company instead of through an agent. Going through an agent usually adds up about 10-20% in the premium at the least. Prefer going direct.
What not to do?
Don’t buy anything which is not Term insurance.
Take the term till 60 years at max and not beyond that, even if there is an option. Basically, you don’t want to continue to have a need for income replacement at 60 years. That just means that your investment plan lacks because you don’t have enough money even at 60 years.
State the details asked in an honest manner. If you are smoker, then state that. If you are hypertensive (=high blood pressure), please state that. Etc.
If the company asks for a medical test, let them do it. If they don’t ask, then don’t force it. Let them do it in the way they want.
Cover Amount:
What is your NET Annual Income? Annual income = This you can get by multiplying monthly income x 12.
· If you are below 35 years, multiply it with 15.
· If you are between 35 and 50, multiply it with 12.
· If you are over 50, multiply it with 10.
There are multiple ways to do it, but for a Zero Level person, above is a decent thumb rule.
Some good companies to go to are Aegon, ICICI, HDFC, Kotak.
How to go about putting the money which has been allocated for savings/investing?
How to decide how much to put where?
We will create two categories or my preferential term Baskets (or Buckets).
Basket 1: Money which can be needed in next 5-7 years
Basket 2: Money which is needed after 5-7 years.
Why 5 years? Because that is the cycle of our national elections! Just kidding. It is just an arbitrary number but 5-7 years is a reasonable. If you like 7 years, keep it 7. Say if you like India (5 letters), keep it 5 years and if you like Bharata (7 letters), then keep it 7 years.
Aim: money which is needed within 7 years.
What to use: If you are using ICICI Liquid Fund - Direct option. Then, a good option to use here is ICICI Prudential Banking and PSU Fund - Direct option. It is a conservative debt fund with very low chances of reduction in value. If you are using Parag Parikh Liquid - Direct option as your goto Liquid fund, then a good choice for this Basket would be their Parag Parikh Conservative Hybrid - Direct fund.
Aim: money which is needed at least after 7 years.
What to use: Now this is a little more complicated, so we will go step-by-step.
Cash - The money is with you physically. The closest equivalent is a Current / Savings account in a bank.
Bonds - You are giving your cash to someone who will provide you regular payouts at fixed intervals and give you back a predecided lumpsum at the end of the period. Sometimes, you can skip the payouts and ask for them to be given at the end of the period (eg, compounded growth option of fixed deposits or bonds). When you invest Rs 1000 in a 9% FD for 1 year , you are basically giving 1000 now with the promise that the bank will give you 1090 at the end of 1 year.
Depending upon the quality and return-back capability of that someone, the net lumpsum and payouts vary. A govt backed bank / agency will give you a lower lumpsum with a higher degree of probability that it will return you the money than a small private business.
Stocks/Equities (=something related to Sensex/Nifty) - You are giving cash to someone to hand over to you a part of a company so that you can get the payments (called dividends) declared by the company. There are no guarantees of the amount or the interval of these payments. There is no fixed time interval or a lumpsum at the end of a time period (effectively holding period is infinite).
To assess these payments, a higher level of understanding is required (higher as compared to above options) to assess the quality and probability of the company to provide those payouts in the future.
For long term money (>5-7 years in this case), I will just cut the complications and suggest to put money in a single fund. That would be ICICI Multi-Asset fund - Direct option. The reason is that this fund will give you a 65% minimum equity, some gold, some real estate investment exposure and reasonable bonds. Plus, the biggest benefit is the built-in rebalancing inherent in this style of fund. As an alternative, Parag Parikh Flexi Cap fund - direct option would be good choice too in this basket group. Just one single fund with predominant Indian equities and 20-30% foreign equities.
More terms:
SIP (systematic investment plan) – this is a way to invest a fixed amount of money on a particular date periodically. They can be applied to any mutual fund, and is not applicable only to equity funds. They can be started for the all the above funds.
Mutual Fund – please refer to this post.
More Questions:
How long to continue the above combination? For 3-4 years at the least. Ideally 5 years.
Should I increase the money when I get a raise next time? Of course. When your income rises to say 60,000 then increase the amounts to 15,000; 7,500 and 7,500 per month.
Which date should I put the SIP date on? Put it 7 days after your normal salary day. So, if you receive your salary on 1st, then put SIP on 7th. Why? Because sometimes the salary gets delayed, and then your SIP will get skipped. Don’t worry, they will not charge you money for that skipping.
Why equal divisions? I am smart enough to calculate the exact ratios. Well, if this series has woken you up to that level of smartness, indeed do those calculations but do start investing within this month onwards, rather than doing all those calculations only. Stop the action paralysis and get a decent start NOW. Rather than an optimum start some months/years down the line.
Why these funds only and not any other? Because I am saying these funds are good enough for long term holding. I have personal experience with each of them. Pattu can vouch for them as well.
What if I need to plan out 80C investment also? Opt for Parag Parikh's taxsaver or ICICI Prudential Long Term Equity fund - direct option (their taxsaver) and use it for complete usage of 80C limit. No need for PPF or SSY or any of the moneyback / endowment / insurance plans. Keep it really simple.
To summarise the approach (across 4 posts):
Have 1 bank account with netbanking enabled.
Keep some amount of money in that account, while rest of the money should be moved to a liquid fund. Or FD, if the tax rate is less for you (10% bracket max.).
Get a health insurance, if not done yet.
Get a life insurance.
Do less spending.
Don’t get a credit card. Have a debit card and use cash.
Target a savings amount (50%, 30%, 10%, whatever and gradually either increase that or increase income and keep that ratio intact).
Put 2 SIPs, 7 days after salary credit into account, for the relevant amounts.
Do this for next 3-5 years.
Ping me after 5 years for what to do next!!
Addendum:
Why such a plan combination? This is for those who want to know more intricacies of the choices.
We have got 3 funds which correspond and take care of respective baskets, across 1/2 AMCs. Much easier to start and manage. Eventually, when there will need for switches between these funds, then it remains easy.
Till 1-2 crores of amounts, I don’t see any real need to have more funds than these.
Overview of US indices.
There are several indices involved in the US markets similar to the Indian counterparts Sensex and Nifty. As with India most of the ETFs and mutual funds you will find in the market will be either tracking these indices (Index funds or ETFs) or be benchmarked to them.
As with India there's several indices in the US though we will focus on some of the big ones.
This is one of the oldest indices in the US markets established in 1885 that measures the stock performance of 30 large companies listed on stock exchanges in the United States. The direct comparison to this index is the Indian S&P BSE Sensex 30 index though there are some key differences to the Dow and all other indices. This difference is very important and the reason why most people in finance consider this a poor measure of the market. The Dow Jones is not a free float index. What is a free float methodology? Courtesy: Investopedia, it's defined as
The free-float methodology is a method of calculating the market capitalization of a stock market index's underlying companies. With the free-float methodology, market capitalization is calculated by taking the equity's price and multiplying it by the number of shares readily available in the market.
Instead of using the free float, the Dow Jones takes 30 stocks, adds the prices of each share in the 30 and divides them by a fixed value (that value as of 1st February is set to 0.152).
Dow Jones operates across the New York Stock Exchange and NASDAQ.
This is the big one. The S&P500 tracks the 505 common stocks (yes, 505 because someone companies like Google have multiple share classes both included) issued by 500 large cap companies across the US market. Unlike the Dow this index is built by using the free float market capitalization methodology and could be considered the flagship index for the US markets.
The S&P500 is a strongly diversified index compared to NASDAQ due to the NASDAQ having lower barriers to entry as compared to the NYSE which encourages startups and other newly minted corporations to first list on the NASDAQ over the NYSE. Since this index unlike the NASDAQ index tracks the NYSE as well it also covers several mature companies.
The S&P500 operates across the New York Stock Exchange, NASDAQ and the Chicago Board Options Exchange.
As briefly touched in the last index, the NASDAQ exchange has severely lower barriers to entry. Normally, exchange will have tests and if a company can satisfy all requirements under a single test they qualify to list. Furthermore, even post listing the company must satisfy market cap requirements. In the case of the NYSE companies must maintain a minimum market cap of $15 million over a 30 day trading period versus the NASDAQ requirement of 750,000 public shares outstanding worth at least $1.1 million.
What this means is that many of the smaller startups and growth based ventures flock to the NASDAQ to the listing and as of this post, most of them are tech companies. Investing in the NASDAQ can be considered a proxy for investing in high growth companies or even a bet on the tech sector.
The NASDAQ Composite Index operates across the NASDAQ.
This one is a fairly unknown index but it should not be underestimated. It tracks nearly 4,000 constituents across mega, large, small and micro caps and covers nearly 100% of the investable companies in the US. It is the benchmark index for Vanguard Total Stock Market Index Fund Admiral Shares (VTSAX), the world's largest fund by AUM standing at $1.08 Trillion as of this post.
There is some argument to be made that the overlap between the S&P500 and the CRSP US Total Market Index is very large and the allocation to non large cap stocks is very small to make an absolute difference in returns.
Note: There are two major differences in which US funds differ from the funds in India.
Indian markets have the concept of growth funds which means that the fund is not obligated to distribute received from assets held by the fund. Meanwhile, a US domiciled fund is obligated to distribute at least 90% of its income to shareholders. Each dividend distribution is a taxable event for the shareholder of the fund. For more detailed reading on the difference, you can refer to this post on bogleheads.
Indian funds growth/accumulating funds are not forced to distribute capital gains to the share holders. This is not true in the United States. When a US fund sells a stock resulting in some capital gains then they must distribute at least 95% of the gains and resulting taxes to shareholders. This dividend distribution usually happens around November or December. As a result it is prudent to opt for a fund with a low turnover.
Managed by State Street Advisors and launched on January 22, 1993, SPY was the first exchange-traded fund in the United States. The fund tracks the S&P500 Index. The fund has a net expense ratio of 0.0945% at the time of writing. The SPY ETF is one of the most liquid ETFs traded on the US markets and at the time of this post has an average daily volume of 70,208,796.
This high volume and low spread makes it incredibly attractive for people who may wish to deal in options, despite having a higher expense ratio than its Vanguard counterpart VOO. A popular strategy among SPY holders is selling covered calls to generate some spare income over and above the fund's returns.
S&P 500 - VOO, SPY
NASDAQ - QQQ
US Total Market - VTI
A government security is a type of bond issued by the Central Government or the State Governments
A government security is a type of bond issued by the Central Government or the State Governments. They are broadly classified into two main categories based on the duration.
Short Term Bonds - Colloquially known as Treasury Bills (T Bills), these are secrurities that are issued for durations shorter than a year. Generally, only the central government issues this type of securities.
Long Term Bonds - These are dated securities which are sometimes referred to as GSecs (despite only being a subset of government securities). There are issued by both the central government as well as the state governments. When issued by the latter they are reffered to as State Development Loans (SDLs).
Due to being issued by the government itself, these bonds are a form of sovereign debt and have low credit risk. The overall risk of a nation's bond can be assessed by looking at their sovereign credit rating which is an assesment of the creditworthiness of a country. For example, India's credit rating as of this article is BBB- according to Fitch and Baa3 according to Moody's which is the minimum grade required for a bond to be considered "investment grade". Furthermore, investors see full transparency of the investment process as the RBI conducts the auction for participants to see. As such these can play a crucial role in an investor's portfolio for long term wealth creation as a low risk debt instrument.
As mentioned in the previous section, these are short term money market instruments issued by the central government. Treasury bills (T-bills) offer short-term investment opportunities, generally up to one year and are issued by the RBI for managing short-term liquidity. Treasury bills can be issued in a physical form as a promissory note or dematerialized form. It is a promissory note with a guarantee of payment at a later date and is backed by the Govt of India and Reserve Bank of India hence assured yields and zero risk of default. Which means that these are zero coupon instruments that do not pay out any interest and instead the interest component is the difference between the price the face value and the price they are are sold at. They are available in four durations - 14 day, 91 day, 182 day and 364 day T Bills.
Thumb rule calculations would work like this:
14 days bill = 1/2 month = 1/24 year
91 days bill = 3 months = 1/4 year
182 days bill = 6 months = 1/2 year
364 days bill = 12 months = 1 year
For example, the 91 day bill can have a face value of ₹100 and issued at ₹98. That means you can purchase it at ₹98 and when it completes 91 days, you will sell it back and get ₹100. Cost of ₹98 and payout of ₹100 with a profit of ₹2. This ₹2 is the interest over 3 months and the effective rate is about 8%.
To formalize this into a formula that a bond trader may use: Annualized Yield = Interest for the duration of the bond * Modifier
The first part of the formula can be understood as (Face Value - Issue Price) * 100 / Issue Price
. Which in our example ended up being 2.88%. The second part of the formula is a modifier that would convert the yield from an absolute return to an annualized one. Mathematically this would be (365 / Duration of bond in days.)
. Comprehensively, the annualized yield works out to be Annualized Yield = [(100-P)/P]*[365/D]*100
where P
is the price of issue and D
is the duration in days.
14-day and 91-day T-bills are auctioned every week on Fridays, 182-day and 364-day T-bills are auctioned every alternate week on Wednesdays.
Detailed maths located below
These are very similar in nature to treasury bills, however these are issued with maturities shorter than 91 days. Introduced in 2010, they help the government manage their cashflows. For example, RBI recently announced the auction of a 48 day Cash Management Bill
These are bonds issed by the government with fixed or floating coupon rates payable half yearly on the face value. There are a large number of bonds that fall under this category of bonds.
These are bonds where the interest rate is fixed for the entire duration of the bond and is set at the time of issue. Due to this they may have fluctuations in price on the secondary markets when there is a rise or fall of prevailing interest rates.
These are bonds where the interest rate is not fixed for the entire duration of the bond and is revised at fixed intervals by RBI. There come in two main types.
Floating rate bonds without a fixed spread ie they are simply issued at face value and pay out the coupon rate for the currently set period.
Floating rate bonds with a fixed spread. These are auctioned and sold at a discount similar to the aforementioned treasury bills, which means there's a variable component which is the coupon yield set by RBI as well as the fixed spread which is guaranteed based on the discount the bond was purchased at. An example of this type of bond is the FRB 2033 issued by RBI.
Floating Rate Savings Bond
Retail investors also have the option to invest in Floating Rate Savings Bonds offered by RBI which are a simple way to hold government bonds for individual retail investors instead of FIIs/DIIs or HNIs. These are floating rate bonds offered by RBI. These are successors to the 7.75% Savings (Taxable) Bonds, 2018 which were fixed rate bonds issued by RBI with both cumulative as well as non cumulative options. The FRSB is however, only available in the non cumalative option and investment starts at ₹1,000 and in multiples of ₹1,000, thereof without a maximum investment limit. The interest is fully taxable at slab limits and the interest rates are set to revision by RBI every six months. The main thing to note is that unlike most other bonds these can not be traded on the secondary markets, nor can they be used as collateral for loans.
For some duration post the Global Financial Crisis, inflation was a major concern for most emerging markets. To alleviate this, RBI launched Inflation Indexed Bonds, these are bonds where both the principle as well as the interested rates are matched to the Whole Sale Price Index (WPI) or Consumer Price Index (CPI). On their release however, RBI had used WPI though currently the RBI has switched to using the CPI as their measure of inflation. Future issues are likely to be matched with CPI over WPI.
In recent years, much of the sheen of these are fallen with inflation levels falling much lower. The government has announced a couple of buy backs of these bonds providing investors an exit. Those familiar with the US bond markets will find this very similar to Treasury Inflation-Protected Securities or TIPS.
State Development Loans are securities issued by various state governments instead of the the central government. In theory based on the Basel III guidelines as well as RBI's Statutory liquidity ratio requirements, these are considered to be having zero credit risk. In the markets this is contested as there is often a premium over the central government's equivalent government security. The spread depends on the credit worthiness of the states in question and can vary from state to state. Since RBI is the facilitator for the state to issue such bonds they have the power to make payments to bond holders from the central government's kitty for the respective state.
These are very special types of bonds that do not function in a similar manner to the other bonds listed on this page. Instead they are pegged directly to the price of gold acting as a proxy to actually holding gold. Furthermore they offer 2.5% simple interest and capital gains for bonds held to maturity are currently zero. For more on this read up our detailed page on holding SGBs.
Basics of Investment Strategy Plan
WARNING: This section of the wiki needs an overhaul and the information presented in this section may not be up to date or reflect the current state of affairs. However, the concepts presented in this section should still hold true and valuable.
If you're interested in making this section better, send us a message on our Discord server.
Evaluate yourself as having income like a stock or bond or somewhere mixed and then accordingly plan out your asset allocation on a personal level.
One way to view human life is to see it as a process of converting human capital into wealth, both financial and real. When you start out, the human capital is high while wealth is low. Midway (around 40 years), there should be assets which show the result of past 15-20 years of use of the human capital. At 65-70 years of age, the human capital is almost spent and now the wealth capital has to take care of rest of the life.
Now it is important to understand how the human capital is being converted into wealth. If it is in the way of:
A solid government job, without firing, then it should be considered as a solid bond with a decent coupon rate.
A big firm with good HR practices, then consider yourself to be a low-risk blue chip stock.
A freelancer with variable pay and/or performance linked pay, then consider yourself as a non-bluechip stock.
Place yourself in the risk-return continuum according to above 3 examples.
How you should allocate your assets depends upon what you are. So if you are a bond, then you should have an increased allocation to the equities. While if you are the freelancer group / non-bluechip stock, it would be better to have more allocation to the bonds in your wealth portfolio. The more like a stock you are in your income flows and job security, the lesser should be your allocation to equity. This is asset allocation at a totally different level and makes the investing decision much simpler for an individual.
Cash in Bank Account.
Fixed Deposit.
Liquid funds.
Money-back policies.
Annuities
Government and state bonds.
Good quality Corporate FDs.
High yield Corporate FDs.
Debt oriented hybrid funds.
Equity oriented hybrid funds.
Blue-chip stocks and stock funds.
Dividend yield stocks.
Real Estate
Mid and small cap stocks and funds.
Penny stocks.
Put / Call options. Futures. (There is too much complexity in deciding which is riskier).
Other points to consider:
Gold – I cannot place it anywhere in this because I don’t know.
Options and Futures can be in individual stocks, indices, forex, commodities, or any thing else. I have placed them in the order which I perceive to be the right order. Please correct me, if there is any discrepancy.
Leverage by taking debt does not change the characteristics of the underlying assets. Leverage just magnifies the gain or loss. This is particularly relevant in case of debt-funded real estate.
How much one has put in the above mentioned categories is called Asset Allocation. This is the most important parameter of your portfolio (portfolio is the entire collection of your assets).
The asset allocation is what primarily decides the performance, variability (or volatility), expected gains and losses, etc. If you do this right, you have done the majority of the work.
Severe medical emergencies or sudden loss of income can be pretty ghastly to one's finances. An insurance policy acts as a shock absorber. Read more about various insurance policies here.
WARNING: This section of the wiki needs an overhaul and the information presented in this section may not be up to date or reflect the current state of affairs. However, the concepts presented in this section should still hold true and valuable.
If you're interested in making this section better, send us a message on our Discord server.
Work done till now:
Start a mutual fund account with one/two AMCs and put money in the liquid fund.
Got health insurance.
Got life insurance.
Now to the question of how to go forward about the monthly fixed/variable salaries.
The most basic rule of Saving/Investing is Earn more, spend less. If you are not doing that, no investment plan is going to get you off the ground. You are digging a hole faster than it can be filled.
Some more Terms:
ATM card (=automated teller machine card). Basically, a historical thing. It was used in an ATM machine (please, I am not going to tell what an ATM machine is!!) to transact. Not available anymore, in a working condition.
Debit card (ATM card functions plus Can be used at merchant’s outlets namely stores, hotels, and online purchases). Since it has ATM card functions also, can be used freely at ATMs.
Credit card (this is not an ATM card but can be used at merchant’s outlets).
To use in ATM machine: please use Debit card ONLY. Never a credit card.
To use for shopping: please either use Cash or slightly prefer a credit card than a debit card. Basically, cash > credit card > debit card.
How they function:
Debit Card: your card is associated with your real bank account number. And the amount currently in your bank account is the limit for that debit card. So, if the account has 5,000 rs, then you can either withdraw cash up to 5,000 or make a shopping purchase for up to 5,000. If you accidently tried to do a shopping of 5,001, then it will be rejected on the spot.
Credit Card: your card is associated with a virtual account, which has a limit. This limit is decided by the bank/credit card company (yes, American Express is an exclusive credit card company without an associated bank, while ICICI bank has both services). This virtual account works like a postpaid mobile bill. Whatever purchases you make are added up and you are presented a bill at the end of month. You are given 20 days to pay up that bill. If you pay within those 20 days (before last date) AND, this is really important, if you pay either the full amount or any amount more than the bill, then GREAT. You managed to use extra money from the bank at zero cost to you practically. Continue this always.
Never pay only the Minimum Amount Due or even 1 paise below the bill amount. If you do that, you will incur heavy charges at the rate of 40% per year (which is at least 10 times your savings bank account interest rate).
Better still, don’t own a credit card till you are financially savvy enough. Use Cash and be merry.
Rules of Thumb with all those Sales advertisements and Big Annual Sales days
Rule 1: If you get an impulse to buy something, put a 72 hour rule between the urge to buy and the actual buy order.
Sidenote: New scientific studies have shown that the serotoninergic receptors take up to 72 hours to absorb the excess serotonin secreted when that buying urge gets triggered. I could have linked up those studies, but then this is all just scientific mumbo-jumbo to really convince you about the 72 hour period! There isn’t any such study known to me. Just kidding.
Rule 2: Please delete all those shopping apps from your smartphone, namely amazon, flipkart, myntra, etc.
Sidenote: You just need one app – Headspace for meditation during those buying impulses. Again just kidding.
Rule 3: Start automated investment setups, so that your money goes away from bank account before you can even think about spending.
Flexi Rule 4: How much to Save?
Now that we have curtailed spending and have easy setup for investing, the basic question is how much you should save?
The basic idea is Save as much as you Reasonably can. If that is 60-70%, good (Pattu does that, I do that). If it is 30%, well and good. If it is 10%, again decent, since it is better than 0%. Once you start seeing results of your savings, you will get better. With better incomes, and lesser spendings and more focus, the rate of savings will increase. Don't get limited on to 10%, since that is what I have seen most recommended - that amount is seriously insufficient.
This section is meant to hold entries which do not have a section of their own, yet.
Mathematical formulation of XIRR, discounted cashflows, NPV, and decay.
Now that we’ve gained some ideas about XIRR (eXtended Internal Rate of Return), it’s time to formally introduce XIRR.
XIRR is tightly coupled with concept of discounting.
Discounting can be thought of as the opposite of compounding.
Popularly, compounding formula is written as .
Instead of , where is being multiplied with the value of ; in discounting, we’d do the opposite, to denote decay over time.
Discounted value of after a time duration , can be written as
In case of compounding, with time, the final value increases.
With discounting, as expected from the above formula, the decayed value gets lower as more time passes.
Assume that we’ve a cashflow series, written like this:
......
......
This format should be quite familiar. We’ve merely replaced the actual numbers with variables.
We’d add one more column to, to add discounted values
......
......
......
Third column entries might look a bit cumbersome at first, but we’ve basically expanded on , where is .
This is effectively normalized time. Given two dates and , is equivalent to number of days in between those two dates. And is a common factor (commonly, 1 year or 365 days).
Then is number of years, where fractional values are allowed.
Notice the first row of the above table, it’s just . Because every discounting is being done corresponding to that date in first row, , so trivially, the discounted value against itself same as the original value.
Remember from your school days, that anything raised to the power of zero, is 1 in value.
Mathematically,
NPV (Net Present Value) of the above cashflow is sum of all discounted cashflows:
Which can also be written as
This formula has summation symbol , which allows us to write sum of a series of numbers in a succinct manner.
XIRR of a given cashflow time-series data, is defined as value of , the rate of discounting, such that NPV is 0.
Let’s see what this means.
As we’ve seen in the last chapter, in a cashflow, some entries would have positive and negative signs in front of those values; such that these values represent direction of cashflow.
If we take the cashflow from last chapter itself, it’s ₹100,000 (1L INR) for first 10 years, then after another 10 years, ₹200,000 (2L INR) for next 10 years.
Number of entries, is .
We fill the table up, mapping cashflow variables to values.
If we use the NPV formula, we’d need to settle the value for power index in the formula, , where can be , , , , .
We could reasonably approximate these as whole numbers.
Plugging these in NPV formula, XIRR for this cashflow would be given by this equation:
Then XIRR is solution for this equation, where is the unknown variable.
We can verify that for XIRR, this equation results in zero.
Another way to think of XIRR, is it’s a value of rate, that makes sum of discounted cash outflows, same as sum of discounted inflows.
We shall now go ahead and verify that this NPV equation indeed turns zero when we plug in the value of XIRR from in-built xirr()
formula.
We had already created a table and verified the XIRR to be p.a.
Steps:
Create a new column in your original calculation from last chapter, next to Cashflow column.
In the first row, fill out the formula as follows:
Make sure to lock the cell with $
notation, for cell ID pointing to
XIRR value
first row’s date value
Use drag and auto-fill for other values of the discounted cashflow, though your spreadsheet might actually prompt the same with smart fill.
Finally, invoke SUM()
to compute summation of all discounted cashflow values in last column.
This video should help with above steps:
Final result should resemble this:
You would be tempted to manually use 3.52% or 0.0352 instead of relying on output of xirr()
formula. As you’d see, it would add up to a finite positive or negative value.
Due to formatting, we are only seeing two places after decimal point. But actual computed value is something slightly different from exact 3.52%.
Given a value of XIRR, we can verify if it’s indeed satisfying the equation of NPV being zero.
But given an equation, as above, can we derive the value of ?
Turns out, even if it’s a single-variable equation; it’s not as simple as solving an algebraic equation.
In essence, we need to use advanced approaches such as Newton-Raphson approximation to solve such equations, iteratively.
It starts with a guess for the right value of XIRR. Then it plugs that value back into the NPV equation, to extract a new approximate value.
After repeating this and extracting newer approximate values, it only gets more and more precise, through hit and trial.
Eventually, the value stabilizes reaching correct answer for the problem at hand.
A full treatment of Newton-Raphson method is beyond scope for this wiki, but even a cursory search in popular search engines would reveal enough materials that cover it in some depth.
The third argument in xirr()
function is rate_guess
, which if you provide, can speed up XIRR computation by reducing number of iteration it takes to reach correct value of XIRR.
But it’s best avoided; because if you plug in a value as guess for rate, which is far removed, it would only serve as a means to increase number of iterations it takes to find the value of XIRR.
Because the value is set to 1 year or 365 days.
We could, however, change that to 1 month or 1 decade; and get rates per month, or rates per decade.
Now that we’ve a formal mathematical understanding of what XIRR is; it’s instructive to understand XIRR visually.
This would help us build a mental model of XIRR, intuitively, because it might not always be possible to have enough information to invoke xirr()
function and obtain exact value of it.
Let’s begin with a simple use-case, where a set of cashflows is basically only two transactions.
One purchase, and one sell or redeem-able account value.
It could be a lumpsum purchase transaction for a bond or a stock or even a mutual fund / ETF, and after the first purchase, there have been no transactions on that account.
Let’s consider an investor had purchased HDFC (NSE: HDFC) stock at a price of , on 1st April 2016, for quantity of 1 share.
Then total invested amount is same as share price at the time of purchase.
Also assume this investor has continued to hold on to this share of HDFC. As on today, it’d have a different value from its valuation at the time of purchase.
We can model it as one purchase transaction (negative cashflow, because money is going away from end user), and a potential redemption transaction of today’s value.
At the time of writing this, this value is per share, as on 1st April 2021.
01-Apr-2016
01-Apr-2021
2515.20
It effectively means, if the investor were to sell the share when price is ₹2515.20, they’d receive ₹2515.20 in liquid cash in their account. We’re ignoring STT (Security Transaction Tax), brokerage, and other fees for now.
Then XIRR of these transactions can be computed easily, by inserting these numbers from the table into a spreadsheet, invoking the xirr()
formula.
We’d get XIRR as p.a.
At the same time, we could obtain CAGR of underlying asset, HDFC shares, over 5 years, which also comes out to be p.a.
They are the same!
You might have noticed that output of RRI()
function is slightly different from output of XIRR function. This is because those two dates are not exactly 5 years apart, you’ve to also count the leap days in between.
CAGR of an asset between two dates, can be computed using XIRR function, by creating a purchase transaction at the start date, and an imaginary sell transaction on the end date.
This is why most spreadsheet or excel applications don’t include a dedicated CAGR function ****You only have to invert the sign of first row entry of value!
We can mathematically prove it as well.
Recall that formula of CAGR is:
is number of years, where we’re considering 1 year as unit of time.
Then equivalent transactions would be of values and
Plugging these in the NPV equation for XIRR, we get
Rearranging, and keeping in mind that power raised to means , we get
Therefore, CAGR and XIRR would have same values.
CAGR XIRR
We've simply found a case, where value of CAGR for an asset between two dates; can be same as XIRR of an imaginary portfolio of two transactions, on those two dates.
This would be true for all investible assets, for any two dates; as long as it can be modeled as two transactions (one purchase, one sell).
But CAGR of a portfolio, is a meaningless metric to look for. Asset has CAGR, portfolios have XIRR.
This makes sense intuitively as well.
XIRR of a portfolio where investor has invested only once and redeemed once (or can redeem full amount if they choose to), is same as rate of growth of underlying asset over same period - which is CAGR.
What if an investor has more transactions, mix of buy / sell etc.?
This is usually how normal portfolios look like.
Even if one were to make a bank fixed deposit, there can be year-end TDS, resulting in cash outflow from the deposit account; which would end up having multiple transactions in that portfolio.
Dotted line shows actual numeric value, of each transaction’s cashflow.
While, solid lines indicate how these values would be after discounting using the decay formulation.
You can see the decay as a result of discounting.
To understand why the decay over time moves like that, we can plot similar graphs from our spreadsheets
Steps:
Select the three columns of data on dates, cashflow, and discounted cashflow that we’d worked on earlier, to validate XIRR.
Insert chart from menubar or toolbar
Switch to bar chart
Here’s a short video to help you out, though it’s quite straight-forward, if you’ve followed along thus far:
Final plot should look like this:
While the blue lines in the above plot are of same heights for positive cashflow values and negative values; the red lines are where we see values being discounted more and more over time.
We learned various aspects of XIRR in the last chapter, using an example and output of in-built xirr()
function.
Now we can cross-validate these, how these follow from definition of XIRR naturally:
XIRR doesn’t depend on exact dates, rather relative differences between dates of transactions
This is because in NPV equation, the power terms are normalized differences in time, and not absolute values of time points (, , , etc.).
XIRR doesn’t depend on exact value of cashflow amounts, only relative scaling within those numbers.
In other words, if every cashflow amounts were multiplied by some arbitrary number, it won’t change the value of XIRR.
This is readily verifiable; as in the NPV equation, the right hand side is . Hence multiplying both sides by a constant co-efficient has no effect.
Moving up payout schedule improves XIRR
Moving up schedule of payout (positive cashflows) means the discounted value of those transactions become higher; as decrease.
To keep the equation at zero, now the base of the fraction would have to go up, which is . In other words, XIRR would have to go up.
Similarly, we can refer to the NPV equation of XIRR formulation, and validate our erstwhile understanding of XIRR behavior.
You might have noticed that we didn’t do any semi-log plots with cashflow values.
This is because NPV equation is an equation that lists formulas as sum of decayed entities.
There’s no mathematical formula to simplify , that relates to or in any way, in general.
Next chapter we would learn about applying XIRR in financial decision-making, in the wild. We’d consider real-world scenarios, and approach decision-making on those, by computing their XIRR; and comparing with XIRR of alternative investment avenues.
It should be fairly straightforward. No need for assessment of complicated risk tolerance (graphs/psychological tests etc). Follow the KISS principle (Keep it Simple and Stupid).
Identify the objective as Maximum Terminal Value (Growth) / Regular Cash Flow or a combination of both in varying degrees.
Third objective is Capital Preservation - for those who have adequate money and now do not want to risk or have hassles. Precious FEW. Capital Preservation is also good for something like saving for a downpayment.
Capital preservation and Growth objectives are polar opposites and are not possible to get in a single instrument. Any instrument which claims to give both is an oxymoron like reality television, selfless politician, mature baby, etc.
Cash Flow: If regular income required is upto 2-3% of the total portfolio (this is based on US data, but for our country, even 4-5% should be a safe and reasonable yield), then an all-equity portfolio is ok. If more is required, then a blended portfolio of 70:30 or 60:40 (equity:debt) is advisable. Either a SWP (Systematic Withdrawal Plan) or periodic sellings or dividends (from stocks) or interest income is advisable depending upon the instruments.
Return Expectation. It should be remembered that all asset classes except short-term debt instruments give returns in lumps. That is, for some periods the asset class will give magnificent returns for months, years to decades and at other periods, the same asset class can give flat / negative returns for similar periods.
Individual Pecularity. Best example of this is ownership of gold. Some people get a warm feeling by having this asset class in their portfolio, while others just hate having an asset class with low returns and high volatility. Although, emotional attachment to various asset classes may not the best thing to do, but if such a thing means a feeling of “All is Well” then such personal preferences should be followed.
Check availability of decent amount of living expenses (usually for next 6 months) in a liquid instrument, which canbe cash, savings account, short-term/liquid debt funds or FDs. Monthly Living expenses = your yearly expenses (including the compulsory and the arbitrary expenses) divided by 12.
Check Insurance requirements (life, health, car/bike, etc).
Depending upon the above criteria, the appropriate allocation into stocks, debt and others should be done.
People chasing heat, trying to get better returns, forget about the law of averages and invariably in-and-out relatively backward—lagging the market by going into what used to work instead of what will work.
No matter what portfolio you choose, realize that looking back, you will always wish that you had allocated more to what turned out, retrospectively, to be the best assets.
If you have less than 50lakh to 1 crore to invest, buying mutual funds is cheaper. If you’re richer, you can and should buy individual stocks or if possible, bonds (eg SBI bonds, etc). The more money you have, the higher the proportion that should be in underlying stocks because in large volume stocks are cheaper to own than anything including mutual funds, ETFs, or any other form of equity.
“You must concentrate to get wealth, diversify to protect wealth.” Those who got rich on one, two, or ten stocks are fortunate fools.
As no one equity type outperforms all of the time diversification helps spread risk between countries, industries, and companies.
Always Remember You Can Be Wrong. So you need to check things and modify accordingly.
As a general rule, it canbe assumed that about 70 percent of return in the long-term comes from asset allocation (stocks, bonds, or cash), and about 20 percent comes from subasset allocation—those decisions regarding types of stocks to own— whether to have large caps or mid-small caps, or foreign vs domestic, value or growth, sectors, and so on. And rest by individual stock selection. Remember, you do not need the best performing stocks/funds of all time, you just need to be in good ones.
When your asset allocation is out of your intended variables, then you should re-balance to get it to the right proportions. This canbe done by either selling the asset which has become higher than intended or buying the asset which has become lower than intended allocation (in case you have surplus). Remember, don’t sell to “lock in profits.”
A common definition used is 'Risk is the uncertainty that an investment will earn its expected rate of return.” It includes both Upside and Downside Risk. Although, we like the Upside Risk (return much greater than expected), we abhor the Downside risk. One needs to understand that both are sides of the same coin and mostly cannot be separated. If you want an instrument which can give / has given higher returns than expected in the past, then in future, the opposite can happen too.
There are plenty of places in which one can find the various types and details of various types of Risks. References:
I will just mention about the common ones from our perspective.
What does this mean? In the simplest words, Inflation is a negative debt which is superimposed on all types of investment instruments. For under-the-mattress cash, a 10% inflation means, the value of Rs 100 becomes 90 in one year, in terms of real value, even though, the actual value is 100 only. Progressing this over 7 years, it will make the real value 48, while the nominal value will still remain 100.
Next, if you keep this in a savings account, then after one year, this value will become 104 (assuming 4% interest rate), but the real value will be 94 (in simple maths). After 7 years, it will have a real value of 65, but a nominal value of 128. This actually needs to be hammered in. Agents, advisors, media, etc show us the value of 128 and tell us how good that is, and how 'surely' you will get that nominal value (of course, there is least risk in a savings account), but in actual values, you have lost 35% of your purchasing power.
Higher up, you Save (invest is a wrong word there. Even GOI only tells us that we have a great savings rate of 30-32%, and not Investment Rate, so....) in a FD which presently is giving you 9% return. Amazing right. But if you see, the inflation rate is on an average 10%. So, even with 7 year FD, your real value will be 93, while the nominal value will be 145.
In short, the real return = nominal return – inflation. And this real return is what we should assume in our calculations. For long period of time, equities and real-estate tend to provide above-inflation returns. Whether this will hold for future, we do not know. But this is certain, most debt products and cash-equivalents (=the traditional risk free products) always lose in terms of real return.
This is an inherent risk of the asset class and cannot be removed by Diversification. This is the value which is mostly perceived by general public. FDs are safe = the systematic risk of loss of nominal value in FDs is very less. While Equities are not safe / risky = the systematic risk of loss of nominal value in equities is high. (Although, if 5-year and 7 year rolling returns are calculated, then FDs lose their real-return while equities score high in both real-return and nominal returns).
How to control Systematic Risk ? This can be controlled by using different assets which are not correlated with each other. So, when a portfolio is allocated across non-correlated assets, a systematic event may cause some assets to go down, while others may be unaffected, or even continue to grow.
This risk is related to concentration in one stock or bond or company. Like buying a single stock exposes you to this kind of risk. This risk canbe managed by diversifying across different stocks or different bonds.
This is another “hidden” risk, which most people do not realise. Illiquidity means loss of flexibility. The costs of illiquidity are quiet. The extra yield seems free until there is a need for ready cash, whether to spend or to take advantage of investment bargains. There are all manner of illiquid investments offering yield, but almost all of them lock the investor up for a time. Prominent among them are all non-term insurances and FMPs. FDs have a built in illiquidity in the form of lower interest rate plus some penalty, in case of early withdrawal. Any product which guarantees you something will have high and/or long surrender charges.
Point to Remember: Never trust an insurance agent who is receiving a large commission to sell you an annuity. If they won’t disclose the commission, know that it is roughly the size of the initial surrender charge. Invariably all insurance policies never give the first year premium, in cases of early surrender.
Step 1: Check Insurance requirements
Check Health Insurance for you and family. If your company provides a decent amount, well and good. Otherwise, get one.
Do you have people who depend upon your income?
For most new young unmarried starters, the parents are usually not dependent on them for income (there are exceptions).
While for married people, the exceptions will be inverted. So, if someone is dependent on you for your income, get a decent life cover, preferably through an online term insurance plan (works out the cheapest).
If both you and your spouse are working, then the overall amount of insurance requirement decreases.
A short list of good providers is Aegon Religare, Aviva, ICICI, HDFC, in no particular order. There are others too. LIC does not have, and most probably will not have an online plan (don't ask me why) LIC also has now (since May 2014).
Start putting money in a short-term debt fund / liquid fund / FDs partly and cash in savings account partly. Amount should be decent enough to manage your next 6 months discretionary and non-discretionary “normal” expenses. Also, every 6 months to 1 year, try to increase this amount little by little. In case you use it for any reason, then fill it up ASAP.
Examples like holidays, birthday celebrations, school fees, downpayment for home, etc. The idea is that you cannot take risk with the principal amount, but still you will be happy in having a better return than keeping cash in savings account. Good instruments for this are short-term and income debt funds. Plus RD / FD for people having otherwise either 0 or 10% income tax slabs.
All your long term goals including child education, marriage, retirement, foreign holidays 10 years down the line, etc come into this Basket.
A good (minimum, I would say) start is to have a 50:50 equity-debt allocation. For less conservative, this canbe modulated to 60:40 or 70:30. For very aggressive, it can even be increased to 80:20. Identify a single diversified equity fund for the equity allocation. Later on, you can start adding more funds, or direct stocks or international stock/funds, as per knowledge increase and comfort zone. Identify a single decent debt fund (I will stress on having a debt fund, rather than a PPF because of the latter's illiquidity, but YMMV). Endowment / money-back policies, PPF, PF, NSC, etc also come under this basket only because of their lock-ins.
Periodic Reviews:
Every month, quarter, 6 monthly or yearly, sit and check the various goals under Baskets 2 and 3.
Make accordingly provisions for those requirements.
Check the valuations of Basket 3 assets. See if they have strayed much more than your original intended allocation pattern.
Eg, you started with 60:40, but currently because the markets have performed well, the percentages have skewed to 70:30. Then you need to either put money slowly into the lesser asset (in this case, debt has gone down, so add more money to your debt asset instruments.
On the other hand, if markets have gone down, then you will need to put money into the equity portion. Doing it slowly month by month is not a bad idea at all. The other option of shifting money from debt fund to equity or vice versa is ok too but that just increases the tax liability (in most cases). And if you are using PPF / endowment policies, then this is not possible too.
In general, your money management should work in this way:
Basket 1- sufficient/insufficient. If it is insufficient, next month's income goes into filling it or you shift money from basket 2 to basket 1. Otherwise, next step.
Basket 2 – sufficient/insufficient. If if it is insufficient, then fill this up back again either using income or from basket 3 funds. Otherwise, next step.
Basket 3 – check asset allocation values. Balance by adding to the lower allocation asset Till the time they are upto the desired values. This may take months of investing in equity followed by months into debt or equal amounts in both as per different conditions.
Whenever, there is an acute short-fall, then money should go from Basket 2 > Basket 1. OR Basket 3 > Basket 2. If you are feeling the need of getting money from Basket 3 > Basket 1 (in simpler terms, money from longer term goals / equity for day-to-day expenses, then something is seriously wrong and you need to correct course).
What not to do:
Monitoring the performance of your equity fund month over month. Checking their star rating. If you have selected a decently performing fund, then you do not need to change the fund as per its star rating.
Selling Equity funds/stocks, because they have moved up, even though, your intended asset allocation is within the initial limits.
A simple example of Selection using Direct Investing in a single AMC with a netbanking facility bank.
Basket 1 – Liquid fund + Cash
Basket 2 – Income Opportunities fund
Basket 3 – Dynamic Bond fund and a plain vanilla multicap / flexicap equity fund.
Additional benefits:
Lesser expense ratio for all funds by use of Direct Investing.
Easy switching of money from one basket to another.
Easy buy / redemption using netbanking.
In a well-diversified portfolio, the individual investments are expected to generate a certain rate of return based upon their characteristics and risk profiles.
The returns of different asset classes in a short-term cannot be known in advance. And the markets (both debt and equity) can have significant volatility so as to throw the investors off track. In other words, the short-term performances of assets are Unknown unknowns.
By rebalancing, we are actually selling the asset class which has gone up, while buying the one which has gone down. It is the idea of Buying Low, and Selling High. Although, in practice, it is quite difficult to do for most people.
1. Calender Method – You do your Asset rebalancing on a monthly, quarterly, yearly, 2/5 yearly basis. Or you do it daily (David Swensen used to do it daily in his Yale Endowment portfolio, largely because that portfolio did not incur any taxes). There have been few studies which have shown that the frequency of rebalancing, as such, does not have any statistically significant effect over the overall return of the portfolio, provided you do the rebalancing. (I cannot get reference for that right now).
2. Percentage Method – In this, whenever the particular asset goes beyond a set percentage value, the portfolio is rebalanced regardless of the last time it was done.
Another classification can be:
1. By Buying alone – For people who are in period of accumulation / investing money, the balancing can be done by investing amounts in which different amounts are invested into the different assets so as to bring the total amounts in the desired percentages, without ever needing to sell from one. This works best in terms of taxation, because there are no realized gains.
2. By buying and selling – This works for people who have set themselves multiple fixed SIPs. Every year or so, they check the various asset values, and then sell from the higher value asset class to buy from the lower value asset class (or by simple switching, if that is possible).
3. By selling – This works for people who are in the Income generation group and who have to sell assets to get regular income. These people can sell from the higher value asset to rebalance towards their desired asset allocation.
Which is better? Statistically, none. It just depends on the individual investor on what is most comfortable to him. The best frequency is the one which one can do consistently and which hurts the minimum in terms of taxation.
Personally, I use the Buying alone and Calender method.
Critical Mass is a place in which individuals enjoy their own personal financial nirvana. Differentiation between earned income and assets is a fundamental lesson to learn when thinking in terms of it
A state of freedom from worry and anxiety about money due to the accumulation of assets which make it possible to live your life as you choose without working if you prefer not to work or just working because you enjoy your work but don't need the income. Plainly stated, the Land of Critical Mass is a place in which individuals enjoy their own personal financial nirvana. Differentiation between earned income and assets is a fundamental lesson to learn when thinking in terms of critical mass. Earned income does not produce critical mass......critical mass is strictly a function of assets.
Critical Mass, as a concept appears to be slightly different from the Retirement corpus.
Initially, we grow our assets by savings. Investing these savings over time then starts to accumulate assets in terms of yearly incomes. A simple 10% saving rate, if not invested, will accumulate one year's income in 10 years. While with investing, it will do so in much lesser period depending upon the rate of investment return. Then one day, we see that we have assets worth income of multiple years. And after some years, the yearly growth of our assets can become equal to the yearly income. At this point in time, we have reached the Critical Mass. And now the possibility to retire from a day job / salaried job is a real possibility.
Actually speaking, the salaried job then makes a lot less sense after that, since the regular income gets a worse tax treatment while the tax on the capital growth can be deferred for a long time. Much better to do the latter rather than the former.
The best way to reach a Critical Mass is to save drastically in the initial years and accumulate as fast as possible. Although doing it the slow and steady way up to the 50s with wise savings is not a bad thing. By keeping this in mind, one can change from the more stressful kind of jobs to more relaxed ones much before the actual retirement.
This way of thinking is slightly different from the usual accumulation phase where you work, work and work and suddenly when you cannot or do not want to, you take an (arbitrary) age-based retirement and hope to live off whatever you have got.
This is quite confusing to many people, since the finance world touts SIP (Dollar Cost Averaging in foreign terms) as the best way to invest.
Definitions:
SIP (Systematic Investment Plan) = one invests a fixed amount of money at a regular interval (daily / weekly / monthly / quarterly). In short, it is transfer of money from cash to a particular asset (mutual fund / direct equity called the DIY-SIP or other such names).
STP (Systematic Transfer Plan) = one switches from one mutual fund to another at regular interval, if the money is already with the AMC (asset management company).
Lumpsum = The investment of the whole lot of money into an asset.
Basic Guiding Principle: The overall average return of various asset classes vary. In the long term, the cash and cash-equivalents produce low but fixed returns, while the equity assets produce high returns with volatility (in most cases).
Eg. 1:
You have got 10 lakhs, and your investment horizon is >10 years. So should you put your money in
10L in an equity fund (or equity-oriented hybrid fund) on day 0. OR
Put your money in a short-term debt / liquid fund and start a STP into the equity fund at monthly (120 installments) / yearly (10 installments) intervals.
Keep your money in your bank account and start SIP into the equity fund at 120 monthly / 10 yearly intervals.
Since the investment horizon is quite long, it is much better if one chooses option 1 (whatever be the sensex levels). Option 3 will give you lesser overall return, because the long term return from the cash component will be quite less than of the diversified equity asset class.
Eg 2.
You do not have 10L, but can invest at a rate of 8k per month (Total principal amount 10L, over 10 years). So should you, since lumpsum is better than SIP,
Start putting your money into your account / liquid fund over all those 10 years, and then invest lumpsum at the end of 10 years, OR
You should start putting the money directly into Equity as a regular SIP.
The answer is obviously 2, since you will not be missing out on all those 10 years of equity returns.
TL;DR, if you have money to invest for a long term, put that money into a diversified equity asset ASAP. If you have got lumpsum (eg, bonus money or tax refund), then invest lumpsum. If you have regular stream, then invest at a regular interval.
Term cover or life cover, that replaces your income in the event of demise; to help protect your dependents. Read along to understand what factors to keep in mind when buying a term cover.
Life Insurance is basically a Death Insurance and better term is Income Replacement Insurance. It is a transfer of risk of your death, in terms of financial liability, from you to the insurance company. Like a car insurance, if something happens to the car, the insurance company will pay for the repairing work / or pay an amount according to the value assigned in case it gets stolen. Similarly, a life insurance is a contract between you and the insurance company, in which the company takes money (=premium) to ensure that it will provide money (=life cover value) in case of death of the insured person (like Stolen car analogy).
To re-emphasize, by buying a life insurance policy, you have transferred the risk of your death (by disease, accident, etc) to the company.
Principles:
The Life insurance Cover should be the sum of
All liabilities (loans – personal, home loan, relatives, etc)
The amount which provides income required to maintain the current lifestyle.
Should be able to provide for future liabilities like child education, home, marriage.
It is better to be over-insured rather than under-insured. A reasonable amount is 10-15 times the annual income. This rule translates into a corpus amount, which invested properly will provide (1/15 to 1/10=) 6.7% to 10% of return and that amount is sufficient to provide the family a decent amount of income, which can then be used for daily expenses and rest for investing, etc.
Only term insurance will be able to give you the above cover at a reasonable valuation. And like when we go with car insurance, we try to find a good deal, similarly presently, the online term insurance policies provide the maximum bang for buck.
One or Two term policies. You need to remember that the insurance will be required to be encashed by your family after your death, so someone from the immediate family or close relative / friend should know the procedure of getting it. Online plans are available in most large cities and provided by most non-LIC insurance companies (LIC and most Private now).
Non-term insurance plans. These are basically insurance plans in which besides the premium amount for life insurance (so this expense is there in these too and does not get removed at all), the extra money is put into various investment options.
In endowment policies (most LIC policies are these), the extra amount is kept by LIC/non-LIC company in a non-transparent manner and “invested” by them and later after very many years, they provide the cover value + bonuses (which are not guaranteed in amount).
In ULIPs (unit linked insurance policies), there is a reasonable amount of transparency in terms of what are the various expenses and how they are distributed in various heads Plus in most of the policies, you can even decide the type of investment options. In general, these are much better than the opaque policies.
Return of Premium Term Insurance- This is cheaper type of moneyback policy, in which beyond the basic life insurance cover, an extra amount is taken by the company to generate a corpus which will equal the total mortality charge over the time period of the insurance policy. These are invariably costlier than basic vanilla term insurance.
Accident / Disability riders. With the detailed analysis of various riders, if you read the terms and conditions, then these riders are not really worth the amount of money spent on them. I will not recommend them in the way they are presently available.
More Consideration about Options
There are 2 major categories now available:
Offline
Online.
The only major difference between the two is that the offline plans include the agent commission, while the online plan is devoid of that and indirectly you become your agent. Apart from that, the processing of papers initially, the medical tests, the claim process (in case it is needed) are the same for both the offline and online plans. And of course, since you are the self-agent, you have to fill the forms, attach the appropriate documents and send them to the company (basic rule is if you can reddit, you can do that too).
Points related to LIC:
LIC is the biggest company in every which way you see, in terms of number of policies, the total amount of insurance coverage, etc. However, there are 2 major points against it:
Even though it was established in 1956, it did not start Plan vanilla term insurance till early 2000s, and only after HDFC Standard introduced it (I do not have the reference for that right now).
Although, there were rumors about it getting an online variety, but few reports show that LIC has completely dropped the idea and Offline term plans (Anmol Jeevan for 25L) are available only. EDIT: They have an online term policy now (although, the premium is on a higher side as compared to other online policies).
Important points for filling of any insurance policy-
Give accurate information about whatever is being asked. This is the single most important thing to follow. The emphasis is on 'BEING ASKED', and that also means you do not need to go out of your way to provide information which has not been asked. If you have any doubt, call the customer care and get more information. You have so many options, that even if you reject 1 or 2 based on bad or confusing customer care, you still will be able to get another one with decent service. If the website is bad, customer care is bad, you need not proceed with the company at all. After all, if it is bad now, it cannot be good later on, if your family really need to file a claim process.
Ask how the claim process is done. Most companies will show the claim process in some way on their website. Check it out. Usually, it is by providing death certificate and filling up of the claim form, which then has to be submitted to the insurance company's branch office (the agent may or may not help in this, so do not count solely on this. Who knows where will be the agent after 15 years.)
Medical Test. This is done to refine the analysis of the risk taken by the company. If you adopt a cynical attitude, you will think that the medical test is unnecessary and just a way for the company to increase the premium (yes, there have been instances in which companies have done that in the name of increased nicotine levels or borderline hypertension or borderline high blood sugar or similar, but in most cases they will just ask for an increased premium and not rejecting it). If the company has increased the premium, then it is all the more good because if a claim is filed, then the company cannot say that this was not disclosed or that was not disclosed, etc. In short, if the company does not ask for a medical test, no problem. If it ask for a medical test, and does not increase the premium – good again. And if it increases the premium- still good. If it rejects because of the medical test, then its a problem and you will need to find out why that is so (also, this may be asked in later policies).
The 15-day return option. One can return any policy (any means any policy approved by IRDA) within 15 days of RECEIVING it (not STARTING it). The day you receive it is zero day for returning, while the insurance cover starts a little earlier (when the company has generated the policy after medical tests, etc). If you are not happy with the way the company has handled the policy or their customer care or any thing, which you think can be an issue later on, you can return the policy and get back your money. The amount spent on medical tests is deducted with some nominal amount on paper work, while rest is given back. A small negative will be if you ask for another insurance policy to this or another company and they ask you about any previous policy, then you will be better off telling them about this episode (but only if they explicitly ask for it).
The Company has after assessing the Risk and Medical checkup asked for Loading. Should I take it now or leave it? Of course, you should TAKE it. This means they have assessed you properly and with the proper re-assessment want to take that chance with your life. That only makes it a better policy for your family, since it is more likely that they do not consider that you are a horrible risk to them. In reality, you also want that assurance, indirectly. Secondly, if you will not go ahead with the Loaded amount, the company will reject it. And any such rejection will work against you when you will want to have another life insurance policy.
Claim Settlement Ratio. This is much shown ratio comparing different companies, their settlement and payment ratios. It is a complex ratio which does not differentiate between pure term insurance (offline or online) or endowment and ulips and just clumps all of them into a single ratio. If you will see the number of policies and the total amount of settlement done, you can arrive at an average amount of cover per policy. The lower this amount, the higher will be the percentage of non-term insurance policies.
The reasons for claim rejection are:
Wrong medical or any other relevant (or non-relevant) data provided by the policy holder, whether online (on his own) or offline (either self or agent filled in wrong information).
Wrong doing by the company. In this case, the insurance ombudsman is the way. However, the policy claim process is stuck. This also includes ways by which the process can be stalled or is deemed complicated because of logistical reasons. Eg, the recent floods in uttarakhan causing large number of deaths. It is difficult for the company to verify if the person is dead, or missing or some kind of fraudulent behavior on the part of the policyholder.
Just remember, no company has a 100% claim settlement ratio. Ask the customer care or the agent about it and think about their answer.
Companies and Options:
If you want to have LIC and LIC only (because it is govt-backed, or its claim settlement ratio is highest, or xyz, then the offline plan is the only option. For private companies, ICICI, Kotak, HDFC, SBI Life are decent. There is an approximate halving of the premium between comparable offline policies between LIC and others. So, decide upon it.
For Online options, Religare, Aviva, ICICI, HDFC, Kotak – all are game. Short informaiton about Aegon Religare- it was the first company to introduce online term insurance facility. With time, they put in some more refinements (and also because of competition), they decreased the premium. And added additional coverage to already existing customers (I have never come across any such thing from any other company) when they decreased the premium. LIC online is also available now.
Do check the website of the individual companies, check the premium (recheck whether the premium shown is with or without the service tax) and then go ahead.
TL;DR- go ahead with the easiest company which you find, with a decent amount of cover, and which does not give you (or your family) heartburn regarding settlement of a claim, if it arises.
A Short Note about Financial Structure:
Why does a term insurance levies same amount of premium for the entire term, when it should be lesser in earlier years and more in the later years? I will try to explain in an example.
Eg, for a 5 year term for a 30 year person will charge, say 10000 per year. For the first year, the applicable mortality charge will be 6000, while the rest of the 4000 will be invested by the company into a debt type of instrument. Similarly for the next year, because of increased age, the mortality charge will be 7000, the rest 300 being invested. At year 4, the mortality charge would be 14000, which will be paid partly by the 10000 of the premium, and rest 4000 from the initally invested part-premium monies. This is just an approximation to give you an idea how the insurance company takes into account a same premium for a term insurance.
OTHER TYPES of TERM PLANs:
Return of Premium (ROP) Plans:
These type of plans are sold in a way to show that you get your premiums back. However, these do not come in online options (so much more premium). And, because of the ROP factor, the insurance premium is more than a normal offline plan so as to invest the surplus in a debt instrument and that is given back at the end of the plan.
Additional Disadvantage: If one wants to leave the plan in between, the extra premium amount paid to the company is not given back. The plan makes you stick to it for the complete duration.
Corollary Advantage: For people, who know that without such a loss-potential they will not sustain an insurance plan, can opt for this plan, as this is the least costly endowment plan. And, 'At least, some thing is coming back' mentality is taken care of.
Increasing / Decreasing Term Cover plan:
The main idea in these is that the Sum assured value should be dynamic and related to inflation or amount of responsibilities, etc.
In my opinion, these just create additional complications.
A good way to analyse things is in terms of Total Dependency cover which equals Life Insurance Cover + (Financial Assets – Liabilities).
With age, the (Assets – Liabilities) should increase in a good way, so the Dependency cover automatically increases with time. If the Assets are not increasing, then it is a bigger problem in any case. So, keeping the Insurance Cover constant is not a bad option.
1st Jan 2021
100,000
1st Jan 2022
100,000
1st Jan 2023
100,000
1st Jan 2024
100,000
1st Jan 2025
100,000
1st Jan 2026
100,000
1st Jan 2027
100,000
1st Jan 2028
100,000
1st Jan 2029
100,000
1st Jan 2030
100,000
1st Jan 2041
200,000
1st Jan 2042
200,000
1st Jan 2043
200,000
1st Jan 2044
200,000
1st Jan 2045
200,000
1st Jan 2046
200,000
1st Jan 2047
200,000
1st Jan 2048
200,000
1st Jan 2049
200,000
1st Jan 2050
200,000
1113.40
Time Horizon: Select the particular appropriate time horizon. For retirement corpuses, you should consider the life expectancy of both the husband and wife plus if you want to leave for your kids. The longer the horizon, the more equity is appropriate. For say child education (a very common goal), initially it should be in equities and as the time for actual money comes closer, an yearly or 2-yearly change of the allocation pattern according to the graph should be done. The corollary is if you need money in the next 5 years, do not invest in equities. See
This is probably one of the biggest “hidden” risk faced by us. I have made a small which shows the official data of inflation (This is made by using Cost Inflation Index values in the last 30 years, which itself is calculated by multiplying 0.75 and the average consumer price index or CPI). Also, the rolling 5 year and 10 year inflation rates are also given. In my opinion, it would not be wrong to assume that even these values are smaller than the real inflation rates suffered by us, but then that is a separate discussion. Some main points, during the entire 90's, the average inflation was 10+%, while in 00's, it was moderate in the mid-00s and is again trending up.
Identify the combination and the allocation percentages of various asset classes, according to this .
Over longer periods of time, it has been shown that Regression to the mean occurs for the major asset classes. In Jason Zweig's words - “Periods of above-average performance are inevitably followed by below-average returns, and bad times inevitably set the stage for surprisingly good performance.” .
Taken from .
There is one released by Vanguard which supports the above.
Some more detail about .
External links, to common queries and responses, regarding term or life cover
Commonly asked queries on term / life insurance
Q1. What happens if the company I have bought insurance from goes bust? Is there any mechanism to protect customers like Deposit insurance corporation?
A1. The IRDA regulations mandate that the solvency ratio (mainly indicates the assets versus liability adequacy) of the insurance company should have a decent margin of safety. Check this Link for more details. Currently, all the companies have decent solvency ratios. Hence, we do not need Deposit Insurance corp or any other such fallback for that.
Q2. How do insurance companies use funds to pay? Is it 'pay as you go' OR 'is it that they invest the money and pay accordingly when the claim arises'?
A2. In short, the latter. In the longer form the basic idea is that the mortality actuarial rates of the life insurance premium is calculated in such a way that probability wise, insurers make money on those. Eg, for a person of age of 30, the old mortality rate (used by LIC) was 1% (example) then they would price it as 2%. On a probability play, they are betting that if 100 persons aged 30 take Re 1 insurance per person, then only 1 of them dies (on an average because the mortality rate is 1%). They would then have to pay Re 1 to the dead person's family and keep the rest (Re 1) as profit. for regular term insurance, the company sets up a way to invest partially the extra premium (1% from the total 2% of the above example) and uses it to compensate in the later years. for single payment term insurance, the above is done in a much bigger way. for ulips / endowment policies, whether they are transparent or opaque, the mortality premia are deducted from the total amount regularly and work in a similar way as the first example.
Q3. Can I have 2 insurance plans at the same time?
A3. Yes. But you will have to declare that in any subsequent plan, if you already have any. The company considers if the total cover is within its risk profile or not. Eg, you can have 1 crore cover. You can take 1 policy. But if you already have a 50L policy, company will say, sorry boss, we don't feel comfortable providing you an additional 1 crore plan. If you are ok with 50L, we can do so.
Q4. Should I have 2 insurance plans of half the cover each, instead of 1 single large plan? This will diversify the risk of claim rejection. This is a little difficult question. It is probably a simpler idea to have only one large term insurance plan because it is much easier for the family to get claim later on. If the company creates any issue, then the insurance ombudsman is the way to go. An alternative is if you already have some other small policy, continue that policy and use that as the diversification tool. The rule is that if one company pays up ANY policy in case of demise of the policy-holder, no other company can reject the claim (citation needed).
Q5. What about the Claim Settlement Ratio?
A5. I will first put up this link = http://www.subramoney.com/2012/03/insurance-claims-settlement/
The basic idea is that the CSR ratios touted on the IRDA sites (and the individual companies' sites) are so opaque that you cannot differentiate between data of term insurance versus non-term plans (way too large in numbers), actual claims due to death versus maturity of plan, early (<2 year) claims versus late claims, etc. Also, consider the fact that how can one apply the CSR data of 2011-12 to a plan which has been introduced subsequently (most of the online term insurance plans have come later). In short, it is a completely useless statistic. Just another point to be considered, why is the CSR of LIC not 100% ?
EDIT:(2 more)
Q6. Why is there a big difference between Smoker and Non-smoker premium in many Term Plans?
A6. The difference is because some companies have differentiated the mortality rates of smokers and non-smokers and use different rates for them. In general, the chances of dying for someone smoking is more than someone who isn't. So, those companies have different options to pass that benefit to the consumers. Many others have decided not to differentiate between the two categories. If you will look more, you will see that even men and women have different rates.
How to use this? If you are smoker, it would be preferable for you to use a company which does not differentiate between the two, so that there is no issue of this point. While who are complete non-smoker, prefer a company which gives you the benefit of being a non-smoker.
Q7. Should I go with online or offline plan?
A7. In the offline plan, the agent is in between you and the company and helps you to fill the form (rightly or in a few cases wrongly) and he does take a commission out of the total premium. The main point remains in case of claim, to use the services of the agent, (a) you would need to stay in the same place, (b) the agent has to stay in the same place and (c) remain with the same company and (d) he needs to really help your family in that case. All 4 conditions have to be met and the chances of that happening decrease with passage of time (who knows about 10 years down the line). While the alternate which is always available is to go directly to the insurance company's office, fill the claim form, put the appropriate supporting documents and get the claim. So, understand the two procedures and make the choice.
Disability and critical illness related cover. And home insurance too.
All things health insurance
How to Buy Health Insurance - this includes a pointer regarding Room Sublimits.
Varun Dua (Co-founder of Coverfox.com) AMA
Post/Comment Section
Decide on a cover for your term insurance that works for you as the one paying premium every year, and works for your dependents who should receive a large sum if something were to happen to you
Things to ponder over
Apparently, most people tend to be under-insured. That's because what generally happens is that they get approached by some Life Insurance agent who works on a commission basis that throws around some jargon(despite what the advertisements say, this still happens), shows you an amount that looks 'big enough' on maturity or death. You ask how much premium is required, you take a cursory look at your monthly savings and wonder if you can go for it, you arrive at a plan that you think is affordable and boom, you pat yourself for being a responsible adult. More often than not, it is NOT GOOD ENOUGH.
There are other things that happen too. Let's look at what happened with the Mumbai Terror attacks of 2008.
The Government announced a 2 lakhs compensation for the victims who were killed. 1 lakh for the ones who were seriously injured. Ask yourself this, how long will your family last on 2 lakhs?
A family member of a victim said in an interview "My brother had a policy but I do not know the details of the same or where he has kept it." This is a more common occurrence that you would think. People tend to take life insurance but keep the details of these to themselves. May be it's because of cultural reasons. (For example: I don't have a spouse, so when I announced to my parents that I had taken a life insurance and enlisted them as beneficiaries, my mother went 'Tu chup kar, aisi baathein nahi karte!' (Don't talk about such things). I just told my father about which company that I was insured with. They have no idea about the amount of benefit they are entitled to in the event of my death. For those of you who are insured, ask yourself this : Do you know exactly what amount of money your family will receive in the event of your death? and then Does your family know how much benefit they are entitled to and how to go about it?
"Is terrorism covered?" On the life insurance platform, insurers pay the sum assured for basic life insurance in case of death due to reasons other than suicide. This means that a life insurance policy will pay in case of death due to terrorism. However Additional riders(for which you pay a little bit extra premium for), like personal accident (PA) rider, which usually pay double the sum assured, will not cover acts of terrorism in most cases. Major surgical benefit, too, may not be paid if a policyholder undergoes surgeries arising out of a terror attack. Ask yourself this, what are the different ways in which you could possibly die/get disabled, does your policy and additional riders cover all these scenarios?
Here's hoping that I now have your attention, we will now move towards the fundamental question, how much insurance do YOU need?
In my opinion(humble ofcourse), Life Insurance should not be about saving tax nor should it be about making an investment or maturity amount. It should quite simply be, a means providing for your family, protecting their lifestyle if you are not around and ensuring that the goals for which you have worked so hard are achievable if you drop dead. Which ofcourse implies that everyone's needs are going to be different.
Now there's multiple ways of doing this which have been broadly labelled as 'Income method', Human Life Value Method and 'Needs Analysis Method' . Let's start with my favorite:
Needs Analysis Method
Step 1: Determine the one-time expenses of your dependants (like clearing off your loans, siblings/children's education and/or marriage, etc.). Let's call this amount 'A'
Step 2: Estimate your dependant's annual recurring expenses. This is 'B'.
Step 3: Estimate survivor's annual income. Do your parents/spouse/siblings also work? Cool. 'C'
Step 4: 'B' - 'C' = 'D' (Annual shortfall)
Step 5: Multiply 'D' by the number of years you expect the youngest dependant or child to become independent and after that until your spouse is 80 or 90 years old. 'E'
Step 6: 'A' + 'E' = 'F'inancial Risk that you NEED to cover.
Step 7: Calculate the total investments and assets that you own. 'G'.
Step 8: Amount of current life insurance. 'H'
Step 9: 'F' - 'G' - 'H' = 'I'nsurance cover that you'll need to buy. If 'I' is negative, you don't have to do anything.
Now, the challenge with the above method is guesstimating exactly how much money you're dependants are going to need on a yearly basis. You will have to factor in inflation and the averate rate of return on your investments. It's a huge exercise but if you truly louve and care for your dependants and all that, it is worth the effort.
Income Method
The Income method is more like a rule of thumb method and it goes like this.
Take your NET Annual Income and then:
If you are below 35 years, multiply it with 15.
If you are between 35 and 50, multiply it with 12.
If you are over 50, multiply it with 10.
That's it. The resultant amount should be the amount of cover you ought to have.
Human Life Value Method
This one's a little technical but shouldn't be a problem if you understand the concepts of Time Value of Money,
Life ProTip: Learn the concepts of Time Value of Money. If you have an average IQ, it won't take more than a day
The most common definition of HLV is the expected life time earnings of an individual, i.e. what is the total income that the individual is expected to earn over the remainder of his working life, expressed in present Rupee terms.
Step 1: Find your current income. Deduct all expenses. 'A'
Step 2: Find your remaining working life or Years left to retirement. 'B'
Step 3: Find the discounting factor rate. (For example, the rate of interest assumed for capitalisation of future income/salary growth rate). 'C%'
Step 4: Find out the present value of required income stream by using inflation adjusted return.
In Excel, this would be =PV(C%,B,A,0,1)
Once you've ascertained the amount of insurance you'll be needing, the next step is to evaluate the different types of insurance products that are out there.
Here's a useful link that breaks stuff down for the common man
Remember, Insurance planning is an integral part of your overall retirement planning which in turn is a part of your overall Financial Planning. You do not necessarily need a personal Financial Planner to get this right. One of the objectives of this subreddit is to ensure that you make all your financial decisions independently.
Here's hoping this post moves you into action. If it doesn't, just try not to die.
An opaque form of investment, that's costly for you, and doesn't adequately cover you. More importantly, you cannot exit if you choose to, not until maturity.
This is a single instrument / vehicle which gives Insurance and Investments. It uses the income tax laws to provide tax-free returns(most of them do, but changing laws sometimes changes the status of such plans – so always do check the actual laws and the relevance of the particular Ulip).
In other words, Ulip is a type of mutual fund (in the sense that they get your money, convert them into units and professionally manage the money while charging you a management fee) which uses the tax laws to make the entire instrument tax free or as tax-friendly as possible.
BASIC TENETS:
The insurance component: Usually it is kept to a minimum. Prior to 2-3 years, most of the Ulips had a minimum of 5x premium of insurance cover. Why? Because the tax laws then said that for any insurance plan to get included in 80C section, it had to have a premium of <20% of the insurance cover. eg. If the plan had to have a cover of 1 lakh, then the premium should be less than 20k. Then this limit was changed to 10x (=max. 10k premium for 1 lakh cover). However, you need to remember that the insurance cover provided is 10x on the lower side. On the higher side, it can be 20-30x also. There will be proportional increase in the Mortality Charges too. Compare this with the amount of cover which an online policy can give – around 1000x.
The Investment Component: The money which remains after deduction of the various charges is put into one of the fund(s) allowed in the particular fund of that company. Then that money behaves like being in a mutual fund (gives the name Unit-Linked).
VARIOUS CHARGES:
Mortality Charges- Since this is an Insurance policy, there are mortality charges which are deducted usually every month (not quarterly or yearly). Usually, it is done in terms of Total Cover – Fund Value and the relevant mortality rate is applied. Eg. For a male of 30 years, if the cover is of 10lakhs, while the fund value of the policy is 2 lakh, the rest 8 lakh cover incurs the mortality rate of 1.91 per thousand which means an yearly premium of 1,528 (or 127 per month) plus service tax (12.36%). If the fund value is 6lakh, the mortality rate will be 764 per annum. Only when the fund value is more than the Cover, the mortality charge becomes Nil. The charge is applied by removing the corresponding amount of Units from your total fund units.
Premium Allocation Charges- This is a variable rate and is mostly related to the Commission to the Insurance Agent. However, on the lower side, it is @ 2% while some years back it used to be 50-70% in the first year, then 20-30% in second year. Usually it is there in the first 5 years (basically the absolute or relative lock in periods). Prior to Sep 1, 2010, the Ulip structures were for 3 year lock in, so the major premium allocation charges were in those 3 years. Later on, the 5 year lock in was put, so the Ulips were redesigned to distribute the charges accordingly. Even the Top Up premiums undergo this charge but usually to a lesser amount. This amount never goes into Insurance or Investment at all.
Policy Administration Charges- The company charges you this amount to send you monthly statements. It is set to increase yearly and is applied by removing units.
Fund Management Charges- This is the actual professional management fees of the funds, and they are charged, like any other Mutual Fund, by daily deduction from the NAV of the fund itself. They are usually fixed but canbe increased by the company by intimating it to you.
Surrender charge- Currently, if you want to surrender your policy in the first 5 years, then it is called Discontinuance and after deduction of charge (range of 2-6%), the remaining amount is transferred to a discontinued policy fund (where it earns 3.5% return, mostly with some kind of fund management charge) and the final amount is given to you at the end of 5 years. If you surrender the policy after 5 years, then after appropriate surrender charges, the policy is terminated and the fund value is provided to you. For Older Ulip policies, similar terms particular to that policy apply.
Rider Charges- If the policy has riders like accidental death rider, critical illness rider, etc, then the appropriate amount of those charges are levied by cancellation of units.
Guarantee Option- Some policies use Guarantee option in providing some sort of guaranteed return. Usually such options are completely debt based options and do incur an additional guarantee charge over and above all the other charges.
In short, any type of benefit is charged accordingly, and nothing is free. The only major difference from the other traditional insurance policies is that everything is clear and written in Ulips while it is not so in those.
FLEXIBLE OPTIONS:
Top Up: Over and above the normal insurance premia, you can put extra amount of money as Top Up Premium. This now requires you to have additional corresponding amount of insurance (in the older Ulips, the additional insurance cover was not mandatory). Eg. If by 10k premium you get 1 lakh, an additional 10k top up premium can get you an additional cover which can be variable (eg from 1.1x to 5x to 10x). The other difference is that the Premium Allocation Charge is usually lesser than the normal premium. However, in the newer policies, the top up will have a lock-in of 5 years from the date of the top-up.
Switching: Out of the various fund options available in a policy (some have 5, some have 7, etc), you can allocate the entire money in a liquid fund, or a longer term debt fund, a large cap type of fund, mid cap or multi-cap, etc. In general, out of the various options, you can allocate your fund money in parts or in total to 1 or more funds of that policy. Some policies have Automatic Switching options in which according to age, the percentage of equity-debt will change or according to an increase in decrease in the fund allocations, an appropriate automatic change will occur. Mostly, such additional options do incur charges but this also depends on the policy.
Premium Paying Term (PPT): This is the period for which you will pay regular premiums. Usually the minimum is 5 years (in older policies, it was 3 years). However, there are single premium payment policies too. This option appears to be very confusing to many people. If someone opts for a 5 year premium paying term, he/she will be able to regularly pay premium for 5 years, and then depending upon the duration of the policy, after various charges, the net fund value will be given back to the holder at the end of the policy period. Eg, if the premium is 10k yearly for a policy with PPT of 5 years and total policy duration of 10 years, the valuation of those 50k after various charges will be given back at the end of 10 years. It DOES NOT mean that for the empty 5 years from 6-10 years, the company will pay it. Compare this with the same policy with PPT of 10 years and period of 10 years. The fund value will be more than the first example policy.
The PPT, the frequency of paying premium and the Sum Assured are all usually kept flexible and can be changed.
After a specific time frame (mostly 5 years), there is option for Partial Withdrawal of your money from the fund. It behaves like Partial Surrender.
RISKS:
The insurance risk part is borne by the company and the Mortality Charges are accordingly set. In this way, this part is not different from the plain vanilla term insurance.
The investment risk part is completely the responsibility of the policy holder. This is the same as in any Mutual Fund.
REVIVAL:
For Ulips, there are usually no Revival options. If the policy is discontinued or foreclosed, then the appropriate option is followed automatically. Compare this with traditional policies, in which a policy can be revived later too.
What is BAD about Ulips?
INSURANCE Part:
Firstly, Insurance is an expense and by combining it with a savings/investment option, the purpose of the entire instrument becomes kind of tug of war between two different aims. The primary way should be to check the eligibility and requirement of the life insurance for the person which includes:
(I) Whether life insurance is required or not? If there are no financially dependent persons, life insurance is not required.
(II) If it is required, how much is the requirement? For this calculation, check this post.
The 10-30/40 times premium Sum Assured FOCUSES on the amount of premium which you can pay rather than the primary aim of The Total Sum Assured (Life cover amount). Eg. For a 30 year old male, the online plans give a sum assured of approx. 1000 times yearly premium. For offline the corresponding value is anywhere between 500-700. At higher age groups and with large term periods, there is corresponding lowering of the sum assured.
In short, the insurance component of a Ulip is 99% of times inadequate as a sole policy.
Secondly, the mortality charge table used in Ulips is higher as compared to mortality charge table for the same company in its own non-ulip term (offline / online) policies. In general, the inadequate insurance cover is expensive too.
INVESTMENT Part:
Part 1: CHARGES
The Premium Allocation Charge is a front-loading charge, which means the charge is levied first and then the rest of the money is put for investment. Compare this with ongoing charges like Fund Management Charges or Back-loading (eg Exit loads in which the charge is levied at the time of withdrawal). In older times, when there was an Entry Load on the General Mutual Funds, which now is not present. This charge as mentioned is basically a commission charge for the agent and/or company, and does not help the investment in any manner.
Policy Admin Charge- completely useless charge. Everything can be seen online and this charge is waste of money. Over that, this charge usually increases year on year.
Surrender / Discontinuance Charges. This is the back-end load and decreases the liquidity of the money.
Part 2: FUND MANAGEMENT
In older times, the insurance companies used to delegate the responsibility of fund management to the regular mutual fund companies and did not require a separate fund management team. Now they are required to do so. In most companies, the size of the investment team is small (sometimes even 1 or 2 main persons managing the various funds). The quality of fund management in insurance companies is thus lower than that of the regular MF companies. The 1.35 -1.5% FMC (adding service tax of 12.36% means this gets translated to 1.5-1.7% net) of most equity funds in the various Ulips is comparable with the charges in the Direct Plans of the regular equity mutual funds. Similar is the case with the debt mutual funds. If you will look in more detail, then presently the FMC of equity and longer debt Ulip funds is in general slightly lower than corresponding regular funds, while those of liquid/shorter term debt ulip funds is slightly higher.
As far as I know, simple index funds are not available in any of the Ulips (I have checked the insurance fund section of Morningstar.in and have not found any index fund). For some people, this is a very decent option with minimum charges (but then, Ulips are not cost-effective at all).
Part 3: The Various OPTIONS-
Switching Options:
This is touted as a major benefit of Ulips. The ability to move money from equity to debt at market tops, and then move money from debt to equity at market bottoms is extremely beneficial. The only problem with that is no one has been able to do that consistently ever (at least that is what all the major gurus say in the world all these years). Moreover, market tops and bottoms are only apparent in the hindsight and not when they are occuring. So, if all the smart people have never been able to do that consistently, how can that be expected from a relatively unknowledgeable / less knowledgeable person buying a Ulip. It may be helpful for a very select few, but not for the 99.9% people. Also, behavioral finance tells us that if given an option like that, most people would do it in reverse, that is put money into equities near tops and put money into debt near bottoms. This is even worse than not doing anything at all.
Part 4: ILLIQUIDITY and LOCK-IN
If the management team of a regular mutual fund is not performing to your satisfaction, you can remove your money from them and put that amount into a different company. OR you can remove your money within the fund company. In Ulips, neither you can change the fund management company nor you can transfer away from funds available in your particular Ulip to another fund within the same company.
The surrender / discontinuance charges are extremely high. Compare this with 1-3% exit loads in various regular mutual funds.
The Illiquidity costs in a Ulip are very high WITHOUT providing a corresponding degree of benefit.
MAJOR CONS:
Too many charges. = Expensive and Complex.
Not-so-great management teams as compared to regular Fund Companies. = Suboptimal Management with comparable management expenses.
Very Illiquid, without providing any corresponding benefit for that illiquidity.
Insurance Benefit is too low for use and expensive as compared to a comparable term insurance.
Complex Options which in general are worse.
What is GOOD about Ulips (=Pros)?
Ulip is probably the perfect option for those people who get utterly confused and get policy-paralysis or decision paralysis (No, this is not an uncommon thing. More and more options, after all there are thousands of mutual funds in India, just create a severe type of confusion and to prevent selection of a bad or suboptimal option, one just does not choose any).
The advantages of Ulips are:
They give you an equity based tax-free option in the 80C category. The other pure equity based option is ELSS (Equity Linked Savings Scheme). While private pension plans (like Templeton India Pension Plan and UTI Retirement Benefit Pension Plan) are hybrid debt oriented mutual funds with decent options) are also there. In case, ELSS get dropped in DTC, then these will remain as the only pure equity based plans (of course, one can choose an 80% or 50% equity option too).
Although, the insurance component is inadequate in these, but as an asset allocation instrument (and NOT as a market timing instrument), this provides free transfer from equity to debt or vice versa. Free both in the sense of a number of switches every year as well as no payment is required in terms of capital gains tax as would happen if this is done outside between mutual funds or direct stocks, debt instruments, gold and cash.
The trigger portfolio option and automatic life-cycle based asset allocation are decent options for people who do not have the know-how or emotional execution capability.
The loyalty addition is a small bonus if the requirements are fulfilled diligently.
In short, presently Ulips are mostly good in terms of behavioral financial aspects.