Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the restrict-user-access domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home1/portfol1/public_html/wp/wp-includes/functions.php on line 6114

Deprecated: Class Jetpack_Geo_Location is deprecated since version 14.3 with no alternative available. in /home1/portfol1/public_html/wp/wp-includes/functions.php on line 6114

Deprecated: preg_split(): Passing null to parameter #3 ($limit) of type int is deprecated in /home1/portfol1/public_html/wp/wp-content/plugins/add-meta-tags/metadata/amt_basic.php on line 118
CAGR | Portfolio Yoga

Investing and Returns

A couple of days ago, writing in The Guardian, Tim Harford questioned and I quote

“Is our reliance on automation dangerously diminishing our skills?”

These days, we depend on Technology a lot and given our beliefs that a computer cannot go wrong, we accept the results without questioning the Math’s or the logic behind the answer.

Regardless of whether we are strong in the field of mathematics or not, most of us are able to do some simple calculation without the need to think too deeply on the subject. For instance, if I say that give I shall give you 12% on your money, you can easily calculate that if you gave me 1200 (we would generally use 100 / 1000, but using 1200 since it avoids decimals later), you will get 1344 at the end of one year (assuming that 12% is for a year). For ease, let’s refer to this as Lump sum.

But what if I told you that I shall take your money in installments and enable you to earn a XIRR return of 22.75%, can you calculate (even after taking the assistance of a computer) what your real returns will be? For ease, let’s refer to this as SIP.

Here is the thing. In both cases, you gave me 1200 Rupees and received 1344 at the end. But when it comes to knowing how much you earned, the difference between 12% and 22.75% is huge if not staggering.

But how do you end up getting that 22.75% and nope, it’s incorrect though it would be wildly inaccurate to compare a XIRR return with a CAGR return (or compare a returns generated by SIP over returns generated by lump sum investing).

We are generally used to relative comparison whether we use numbers or otherwise. When I say A is tall, it’s always relative to B or C who maybe shorter than A. But if D is taller than A, does that mean A is not tall?

Microsoft on its website describes XIRR as such;

Returns the internal rate of return for a schedule of cash flows that is not necessarily periodic. To calculate the internal rate of return for a series of periodic cash flows, use the IRR function.

In other words, when you have a series of fund flow that may or may not be periodic (SIP is generally periodic), this is a tool to calculate the Internal rate of Return.

Let’s return to our example I described above.  If I take 1200 in lump sum from you and give you 1344 after one year, for a period of one year, you had no access to 1200.

On the other hand, if I asked you to give me 100 Rupees every month and end of the year retuned 1344, you would have earned an XIRR return of 22.75%. On the other hand, if I give you back 1277, I would have given you a XIRR return of 12%. Notice the difference?

The reason for that difference lies in the fact that after month 1, while in lump sum you have no money left in your hand, in the case of SIP, you still have 1100 that is yet to be given to me. At end of second month, you still owe me 1000 that you will give over the next 10 months. This money that you have has a value and the return using XIRR adjusts for that (theoretically speaking).

So, why am I talking about XIRR and CAGR returns? In recent times, Mutual fund houses and distributors have given a huge push to sell retail investors the idea of investing in Mutual Funds using Systematic Investment Plan. In itself, Systematic Investing is what we should do – whether its pushed or not. But when the push happens with the kind of returns as projected in the pic below, its setting up for disappointment

xirr
Pic-1

To showcase returns, most use XIRR as the tool to compare different schemes. So long, so good. But the problem is more on our side than the seller. Because of our unwillingness to use System 2 (Thinking, fast and slow by Daniel Kahneman), it’s easy to confuse XIRR with actual returns that we get. But think deeply and you shall see that what you see is not what you get.

When we invest in a Bank Recurring Deposit, our expectations are fixed. We invest X rupees for n months and at the end of the period we get Z. When we take a loan for a House or a Car, we know that we need to make a payment of X Rupees for n years and then the asset is ours (full and clear).

But when it comes to investing, especially investing in markets, the expectations and reality we face could be vastly different. Assume for instance that you started off a SIP in the month of May 2003 (you couldn’t have picked the bottom better than that). You keep investing a fixed sum of money without fail – you are prepared to wait for the long term.

Pic-2
Pic-2

The correct way to depict returns would be as per pic which shows how much the investment of 72000 would have turned into (ignore last column which again is XIRR return). Picture courtesy (Pic-1 https://www.advisorkhoj.com, Pic-2 http://www.finvin.in/)

But then you get hit by the 2008 financial crisis. At the bottom with job loss being a worry, let’s assume you decided to take a look at what your investments have done. While markets have fallen, they are still 200% above where you started to invest. Your investments should have done well you assume and open up your account statement.

While you had invested for 70 months (let’s assume 10K per month) an amount of 700,000, your current value would be 816,887. Profit, yes but not something you would have expected. This again is due to the fallacy of comparing one sort of returns with another.

When we receive our final number, we quickly will use a calculator to see the return and would be horrified to see it gave a CAGR return of just around 2.65%. While the comparison is wrong (Apples to Oranges), the reason we fall upon it is because we understand the simplicity of it.

For the same values, if you use XIRR returns, you shall get the return as being 5.37% – low, but not as low as the CAGR we came up with.

While both are different, do note that either way, returns are way normal than what you may have expected. When mutual funds complain that a lot of investors stopped in 2008 / 09, the reason would be about their expectations not matching reality.

Mutual fund SIP returns are dependent on multiple factors (including market), but the three key things are

  1. How long you are investing
  2. When did you start (Starting date bias)
  3. When did you end

In the above example, returns would have been wildly different if you had started investing a few months later or stopped investing a few months later.

If you had started your investment say in Feb 2004 (one year later) and stopped in Feb 2009, your returns would be XIRR of 0.71% while in real terms, your 6,10,000 investment would have given you back 6,20,961.00

On the other hand, if you had stopped investing a year later (Feb 2010), your returns would be 19.71% while in real terms, your investment of 8,20,000 would be 16,01,760. A difference that is too big to ignore given the small change in time frames we tested with.

It’s easy for most of us to fall prey to availability bias (among our many other faults), but do remember that the final returns are not measured in either CAGR or XIRR but in what you finally receive in exchange for taking the risk.

Your expectations should be built on that reality alone since that is what we can finally compare and contrast easily. This is further and better explained by Utility of money. That is a big subject in itself, so shall leave you with this simple explanation taken from the site http://www.behind-the-enemy-lines.com/

chart

If you want to read more about utility of money and its applications to portfolio management, insurance, and analysis of other cases, take a look at this book chapter.

PostScript: Both Pic-1 and Pic-2 contain similar info. Apologies for the confusion. Point I was trying to make is that you focus on the End Value vs comparing the % returns with other investment avenues you may have had the opportunity to invest in.

A easy way to make money in markets

Is making money in markets easy? Well, its both Yes and No. Yes, if you are positioned rightly, making money is as easy as pie. And No, that does not mean that money can be made without a process driven approach and definitely not by trying the luck in markets when the whole herd of sheep is headed that way.

The simplest way to build wealth is by buying when cheap and selling when expensive. Fundamental Analysts go a long way to analyze what is cheap and what is expensive and while many do get it right, its not something that can be attempted by every other investor who may neither have the time nor the expertise in reading through and understanding balance sheets, cash flows, management guidance among others.

A easier way would be to buy the broader markets when markets as a whole are cheap and selling when they start turning expensive. I have in the past written about how one can use Index PE to determine where the markets are placed at the current juncture and use that info to decide what is the ideal strategy.

So, before we go any further, lets look at the monthly chart of Nifty trailing PE (Standalone)

Nifty

As can be seen in the chart above, we are well below what can be said as over-valued though the caveat is that the price earnings is based on past earnings and if future earnings are bad, we may see the PE rise even without there being much movement in the Index.

On the other hand, we do have some cushion due to the fact that we use Standalone results to calculate the earnings instead of Standalone which is at a higher keel. But since the data we have is Standalone, we shall stick to that for the time being.

While its true that a picture can say a thousand words, I believe that its better to stick to numbers to be sure of what the chart conveys in reality.

While the above chart if of Nifty, I have used the Sensex PE to calculate returns based on where we entered. The reason for using Sensex data was that it provided me with a much larger sample size compared to Nifty.

What I have tried to do is calculate the Compounded Annual Growth Rates based on where the PE was present at that time. So, if the PE was at 20.5, its returns would be recorded in the 21 frequency (representing all data from 20 to 20.99)

Sen

As you can see , the best time to buy would be when the PE ratio is between 10 to 19 and the worst time would be when PE is above 24. Save for the two green picks at 26 PE for 7 years and 10 years, almost all of the rest is the worst returns for the period. Even the outlier is more due to happenstance than something which is worth pondering and investigating further (just for info, the sample size of PE between 25 and 26 is 2 – months of July and August 2000 being the data points). Even in that outlier, do notice that the 1 year return was a negative 33.5%, something that is not easily digestible even by die hard bulls, let alone normal investors.

As on date, Sensex PE is at 18.26 (Source: http://www.vectorgrader.com/indicators/india-sensex-price-earnings) or is at 19.2 (Source: http://www.equitymaster.com/india-markets/bse-replica.asp?order=eps%20desc) .Either way, we are at the top of the band and unless we see strong earnings growth in the coming quarter results, any strong gains from hereon will only push the PE of Sensex into area where the probability is high that returns will be below par.

While I still believe that the markets are a Buy on dips, I would wait for a larger correction to jump in (add to existing positions, that is) than jump in at the first sign of correction.