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Prashanth Krish | Portfolio Yoga - Part 34
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Social media Confundere

A month or so back I decided to quit every Whatsapp group I was member of. The decision to quit had nothing to do with the members of those groups, many of whom I continue to interact on WA / Twitter  even after the move. While Social groups such as those on WA and Slack provide ability to interact with a lot of folks who are more blessed than us in terms of understanding of market structure, to me, it added more noise than I could bear.

Most groups have a wide variety of participants – from total novices who are there to pick up ideas / thoughts to experts who trade full time and given the randominity, its fairly common to see some one or the other make the right call all the time.

Its only in this business that I have found that most folks are winners, they are either holding a winning stock or had known / identified a stock that is now in the limelight. While data says that 95% of traders lose and a large percentage of investors under perform the market averages, on Social Media, everyone is a winner.

As a system trader trading a trend following system, its normal for me to find myself on the losing side 60% of the time. While in theory its just another number, in reality its a way of life that is tough to practise.

Social Media is a sort of a echo chamber – you generally start finding guys who think in ways similar to you regardless of whether they actually believe it or not. As Brexit and Trump votes have shown, too many claimed to be on the right side just because they were too embarrassed to talk about supporting the Exit / Trump out it in the open.

While momentum is the easy way to trade in markets, its mean reversion that attracts more followers. For instance today I am sure many a group are discussing how markets are showing resistance (if you search enough, you shall find charts suited to showcase the same). Now, if tomorrow market falls, you should see the same getting referenced while on the other hand if market somehow manages to move higher, there is always another chart / resistance that would the next point to watch out for.

But if you are Long or Short, the noise has a impact in terms of you starting to second guess your decisions as also wondering if you are the only loser in town. Rather than being educative, most groups end up emphasizing on herd mentality (unknowingly) since you find yourself nodding in agreement with the rationale than try and find the points where you can disagree.

If you are a investor / trader and believe that you really cannot ignore the noise and focus only on the Signal, I would urge you to seriously check out whether you are really getting value for the time you spend (and I hear of many Premium groups where there is a charge to enter). I personally have found that individual discussions has more value than groups where there is a constant chatter with no one being wiser about who really does what.

Ash Wednesday

Ash Wednesday, the religious day happened in February but for many a investor / trader, its today that holds more importance given the double dhamaka we have witnessed.

The move yesterday to demonetize 500 / 1000 Rupee notes while not essentially not something that was totally unexpected (from Ramdev to Subramanian Swamy among others have long called for it), but the ablity to make such a call, called for real political strength given the fact that Politicians are at the top of the food chain when it comes to black money.

US Elections which was supposed at one point of time to be a walk in the park for Hillary Clinton is now turning out to be a walk out of the Park as the events unfolding seem to suggest that Trump may after all Trump. Then again, after Brexit vote, calculations of rational thought by voters had gone down the drain.

As I write this, Nifty is down 3.6% – big but not really something that we haven’t seen in earlier times. With 85% of money in circulation suddenly being told to come back to base, one really has no clue how it will pan out. India is predominantly a cash based country and given that Rural India is where a lot of demand arose (from Automobiles to FMCG), the impact of this move will be seen only in months forward.

Most Asset Allocation tables I run were in Debt for 50% and while today is a buying opportunity, I am not going out and buying at any price. S&P 500 futures have closed since it breached the 5% limit, how US markets close today will dictate the future course for now.

Real Estate will get cheaper over time since the money that was floating around and changing hands over every deal will now be out of circulation (I have no clue how much money will not come back, but easy to estimate that a large number will find it tough to get back into the White mode). How will this impact on other sectors is something we cannot be sure about.

Could there be Job losses is a additional question to be asked, especially in jobs backed by the informal economy and how will that pan out in terms of consumer spending among others?

Remember, the financial crisis of 2008 was brought on by crash of housing prices which then started a shit storm that took a long time too cool. While we may not go through such a painful period, the next few months will be critical as one evaluates the impact and what it means.

While on the long term Equities will pay out, its times like these that provide one with opportunities that can enhance your total returns. Market even it falls further won’t fall in a straight line given that there will be a lot of Institution support, but unless you are ready and willing to take the risk at points where you believe its worth putting your bet, its just another opportunity that passes by.

So, whatever you do. Good Luck.

Trump Inferno

Markets have been on a slide in recent days, when the S&P 500 closed in negative on Friday, it was for the 9th consecutive day though this has been one of the few times when even after such a large number of negative days, the Index itself has fallen just around 3.1% making it one of the slowest grind one has seen in history.

Indian Markets haven’t done too badly though they too are on a steady decline since early September and are now down 6% from the peak. DII’s have been active buyers beating FII investments for the months of September and October. Last time we saw 2 or more consecutive  months of DII’s buying more than FII’s was way back in November 2015 to February 2016.

Every fund manager will tell you that it makes sense to buy every dip since markets have always bounced back. The question that gets unanswered is, how deep can this dip be and what point the odds of getting in makes sense vs just staying put.

Some dips are small and cozy, others dangerous and beautiful (for those who were waiting for it) and only after it has ended do we really understand the nature of the move.

Here is a pictorial view of all draw-downs from the 52 week highs.

chart

While the 1992 and 2008 falls occupy the investor mind space, as the chart showcases, 10% falls are normal and we have had multiple falls of 20% or more.

Earthquakes are measured in Richter scale where each level is 10 times stronger than the previous one. While we have no such scale, data suggests that there is a huge difference when Index falls 10% vs 20%. Small and Mid Caps are the worst affected.

Look at the Total Market Chart here for instance. While in the above chart the 2000 fall was one of the many, stocks fell like a ton of bricks back then. Do note that since there is a survivor bias in the database pre-2005, it misses many a stock that never recovered from the deep falls it saw.

chart

So, what am I trying to say?

While falls are normal and markets shall recover, not every fall is the same and not every stock will recover. Choose your instruments wisely and calmly.

Other than the recent instance where markets got the Brexit vote wrong, historical evidence suggests that market knows better and the trend is generally established correctly going into such crucial votes.

Take for instance our own elections of 2004 and 2009. In 2004, it was given that NDA was and will win hands down. But way before the counting happened, markets action was anything but bullish as it was well and truly into a decline. In fact, the bottom happened after the results broke out showing NDA on the way out.

While I have no answer how the market anticipates, its amazing how the trend was in place before the September 2001 attacks or the Kobe Earthquake (Baring’s Bank demise was due to that incident).

In June, I wrote whether this was the start of a bull market when Nifty was around 8200 level. Currently we still stay above that level and given that most indicators have a lag, it will be pretty late by the time we know that we are well into a bear phase.

Reactions in bull market are normal, but some reactions push the same into bear territory. Will this reaction follow similar lines? I have no clue though for now data does suggest that its still very much in a bull phase.

Markets aren’t cheap though as usual they aren’t too expensive either and its in these phases that there is ample confusion on what to do next. Should you buy the dip or wait for a further fall and what if the big fall doesn’t come true?

Historically, data suggests that markets have risen under both Republican President as it has under a Democrat guy. So, regardless of whether Donald wins the race or Hillary manages to hold on to her lead (as every poll still suggests), markets aren’t going to go to dogs.

But assuming we do have a huge reaction, the question is, are you ready? Both in terms of strategy on what you will do and tactic of how you shall do.

Results will start coming out I am told by the time Indian opens on 9th November which means that you have 2 days to get ready and act if opportunity provides one with a window.

List of Robo Advisors in India

Robo Advisory is picking up steam in India and yet I couldn’t find a list of the same. The rationale behind the list is to provide you with links of all active / yet to start Robo Advisors in India.

The list will be updated as and when I come across new ventures. If you know of any one I may have missed, please do edit the Google Docs and insert the url. Also do post the same in the comments column so that the table below could be appended.

Robo Advisor Site Fees
arq.angelbroking.com Trailing Comission
mf.zerodha.com/ Trailing Comission
mutualfund.paisabazaar.com Trailing Comission
www.5nance.com/ Trailing Comission
www.advisesure.com/ Fee + Trailing Comission
www.arthayantra.com/ Trailing Comission
www.bharosaclub.com/ Fee Only
www.bodhik.com/ Fee (Recommend Only)
www.clearfunds.in Fee Only
www.etmoney.com/ Trailing Comission
www.finaskus.com Trailing Comission
www.fincash.com Yet to Launch.
www.fisdom.com Trailing Comission
www.fundexpert.in Trailing Comission
www.fundsindia.com/ Trailing Comission
www.fundsvedaa.com/ Trailing Comission
www.fundzbazar.com Trailing Comission
www.goalwise.com/ Trailing Comission
www.invezta.com/ Fee Only
www.moneyfrog.in Trailing Comission
www.mysiponline.com Trailing Comission
www.myuniverse.co.in/ Trailing Comission
www.orowealth.com/ Fee Only
www.piggy.co.in Fee Only
www.prosperx.com Trailing Comission
www.roboadviso.com/ Trailing Comission
www.robobanking.in Fee Only
www.scripbox.com/ Trailing Comission
www.sqrrl.in Yet to Launch.
www.taurowealth.com/ Stocks. No MF’s. Fee
www.tavaga.com Fee Only
www.unovest.co/ Fee Only
www.vivekam.co.in Trailing Comission
www.wealthtrust.in Fee Only
www.wealthy.in/ Trailing Comission
www.wixifi.com/ Fee (% of AUM)

Google Spreadsheet (Link)

Fooling some of the people, all of the time

The single biggest reason you are given as to why you should invest in stock markets using a Mutual Fund and not via a Exchange Traded Fund or a Index Fund is proved by showcasing long term returns of few select funds that have over the last decade beaten the Index returns handily.

In past posts I have reflected on why this is not really the ideal comparison given the Survivor bias such lists tend to have yet the fact remains that few funds have really performed well over the long term. No two ways about it.

Here is a table detailing the percentage of funds that have beaten Goldman Sachs Nifty ETS Fund returns.

chart

On the face of it, it seems that on the short term, funds really do deliver the results with more than 90% handily beating the benchmark ETF we have chosen for this exercise.

But this seems to keep dripping down as more time passes by though theoretically given the Survivor bias as well as the understanding that Alpha is generated by focusing on the long term growth, we should have actually seen that rising.

So, what is happening out here?

On the short term, there is a very high possibility of luck being mistaken for skill. Extreme short term returns aren’t hence the best viable way to evaluate a investment, especially one during a bull market where you can get away with higher risk (and hence the higher return) without anyone being wiser.

For instance, while on a 1 year basis, Goldman Sachs Nifty ETS Fund has given a return of 6.82%, over the same period, a Index fund tracking the Sensex had a range which went from a low of 2.85% by LIC MF Index-Sensex Plan to a high of 7.34% by HDFC Index Fund – Sensex Plus Plan. With both Indices seen as benchmark, and both Sensex plans theoretically following the same allocation pattern, one wonder what gives for such a large difference in returns. While the range wasn’t as big in Nifty Index funds, it still stretched from 5.19% (IDBI Index Nifty Fund) to a high of 7.96% (Edelweiss Exchange Traded Scheme-Nifty 50).

In his book, The Success Equation, Michael Mauboussin writing has showcased the importance of Luck and how tough it is to differentiate that from skill in the short term though on the long term, skill clearly distances itself from results which are owed primary to the significance of luck.

There are two ways of investing in funds. One is by way of lumpsum and another is by way of Dollar cost Averaging (commonly known as SIP). Both have their own advantages / disadvantages depending mostly on when the investment was done and the length of time it was held.

A few years ago, Vanguard had done a extensive test on whether a investor should go with a DCA approach or a Lumpsum. You can download the study from this link. In recent times, a investor in mutual funds has been bombarded with information on why SIP is the way to save.

But, how do you choose among the hundreds of funds that are on offer? When Index funds themselves have such a wide range of returns, the range expands more as you start comparing actively traded funds. And here comes the financial advisor who says that since you really cannot expend the kind of energy needed and understand the intricacies of those funds, we will (for a fee that is duly debited from you) help you pick the right fund.

Today, I noticed that Quantum Long Term Equity fund has reached the summit in terms of 10 year returns beating every other fund. But when it comes to AUM, its way lower since they were the first and till date the only fund that doesn’t utilize the services of a distributor. But I am digressing.

To help you pick the right fund, most distributors have what they would say as funds they believe is right for you. Yesterday, I was going through the Select funds of a major online distributor and was surprised at the number of funds that were added and removed in the short time frame I looked at.

chart

When it comes to Systematic Investment Plans, the question is how long you should keep investing. Most application forms these days have the option of investing for eternity (theoretically) since the belief is that if you keep investing over a long period of time, the return you get is substantially on a higher level.

But while investing regularly for long is a correct thought process, the returns are dependent on the choice of  instrument.

In the table, you can see that funds are constantly getting churned all the time. While the advisor does point out that removal doesn’t warrant a exit, it still is suggesting that maybe further investing in such funds are sub optimal in nature.

When people flash about how 10 year SIP would have given so high a XIRR return (a number that most people confuse for CAGR but isn’t – read by previous post), how do you do that if large well known distributors keep shuffling funds based on short term returns (based on my understanding of what they looked at before removing).

If you started out in a SIP today in a fund that is part of the list but subsequently gets dropped, do you continue to invest in a scheme that may be sub-optimal. What if 10 / 15 years hence it showed that if you had just continued to invest, you would have beaten 80% of other funds and what if 10 / 15 years later you learnt that because you kept investing in bad fund, the returns are sub optimal?

In other words, Question leads to more Questions and further more Questions without there being a clear cut answer. If you are saving for your daughter’s education which maybe 20 / 25 years, do you really know which fund you should seek out to help you in mobilizing the said amount?

I don’t exactly remember when, but on the short term, Quantum fund was under performing due to its high cash holding. It was also the time when it got kicked out of Mint 50 (a set of best funds that you can select from). But given the funds recent performance as well as long term, how much of a cost would that have meant for a investor who was blindly following what was advised?

The biggest reason I like ETF’s is that after accounting for Expense Ratio and Tracking error, I know for sure how much I can get depending on the choice of instrument / index I have chosen. That is way tougher with active funds (Quantum included) since it requires a reading of the mind of the fund manager and what he believes is the way forward.

These days, I find a lot of funds coming out with what they say are their core philosophies. If you were to understand and accept that, it makes a lot more sense to just stay with them (and hope that they stick to their words) then keep switching in and out in an attempt to find the best funds.

But if you were to look at persistence of returns, as time passes by, I feel that you will find a way smaller list of funds that can persistently deliver. The pool of actual alpha generators is anyway way smaller than what we assume it to be based on short term out performances in a bull market.

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.

SIP, Expectations and Reality

Indian’s have generally been Risk Averse and that is seen in the percentage of assets an average household has invested in markets (Direct or Indirect). Real Estate on the other hand has had huge amount of backing given the rally we saw in the last decade. But with Real Estate prices shooting for the moon and one which is affordable by a very small segment of population, investors are now turning towards equity in an attempt to get returns that are better than Inflation.

Mutual Funds in India has been as old as the hills with plenty of funds being launched by Unit Trust of India since the 1960’s. While the Asset under Management has been growing in time, given the growth in economy, it was still a lagger.

While Mutual Funds have all sorts of schemes, for the retail investor, most funds recommend Equity since only Equity has ability to provide for positive returns after adjusting for Inflation. And then there is also the small thing about being able to extract a higher fee from equity than from Debt.

In recent times, we have witnessed funds going all out in attempting to push investors into embracing equity investing through SIP’s. In this blog itself, I have written enough on the Pro’s and Con’s, so I will stay away from the same.

Today, lets talk about the term Equity Risk Premium. Investopedia defines it as under;

Equity risk premium, also referred to as simply equity premium, is the excess return that investing in the stock market provides over a risk-free rate, such as the return from government treasury bonds. This excess return compensates investors for taking on the relatively higher risk of equity investing.

Its effect is better seen if you were to compare Nifty Total Returns (the benchmark I like to use) vs a Liquid Fund (SBI Magnum Insta Cash Fund).

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As you can see, its really one sided with Nifty Total Returns beating the Returns of the Liquid fund hands down. But that is the reward. What about Risk?

Liquid fund has no draw-down. Every day is a high day and you cannot get a better picture than by seeing the chart of the fund. In other words, at no point of time is the value of your investment lower than what you have invested.

c

Equity on the other hand provides no such guarantees. As any investor who invested in late 2007 can tell you, at the depths, you wonder if you have lost everything you have invested even though you may have invested in a Index rather than individual stocks (where such risk definitely exist)

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At multiple points in time, you had 40% or more of falls from peaks and this is Risk that you, the Investor is willing to carry for the +ve returns you hope to get.

But how much extra do you really get? To get to that answer, I used Nifty Total Returns and subtracted the returns of the Liquid Fund. Results are as here under;

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(Click on the table to expand if you cannot view data for all 17 years).

What does the above table tell you, especially the row that I have color formatted (Median Returns)? Do note that the data is not adjusted for Inflation.

SIP is a excellent way to save money, but is it the best way to invest in markets given the near uniform distribution of returns? Good Friend, Kora Reddy the other day tweeted (read from last to first),

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The data in the table I presented above is more of a synthesis of what Kora tried to put up.

If you invest in a SIP and can do so for more than 10 years, you really start to see the benefits start to show up.

But once again, there is the question of whether the fund you choose to invest will be able to beat the Index over the next 10 years. If you were to look at data that is publicly available, the percentage of funds that have beaten Index is very high at the 10 year mark (due to Survivor bias effect) and keeps coming down year upon year.

These days, most SIP’s have option to invest for perpetuity and hence if you can hold onto your behavior when markets crack next time around (and hold onto your Job as well) and if you have chosen the right fund, you may be happy with what you have achieved once markets come back (as has happened ‘n’ number of times in the past).

But money has a utility value and if you need that money when markets is not at its best (its all correlated – market falls / job loss / health issues – everything happens at the worst possible time), you know whom to blame, or do you??