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Factor Investing | Portfolio Yoga

4th year of Momentum Investing – Getting Rich

In the world of Momentum Investing, our belief is that the probability of past winners continuing to be a winner in the future is high. In some ways, this is the same logic of Growth Investing (which is not a factor based strategy as such). Here instead of looking at price, the idea is to look at the business and try to figure out if the past growth can continue into the future. 

Compared to Momentum Investing, Growth (at a fair value for Buffett fans) Investing is something that allows a much larger capital to be deployed since the average holding time is measured in years vs months for Momentum.

But this is true across the financial spectrum. Angel Investing can be hugely beneficial if you strike it big, Angel investor Garry Tan for instance invested $300,000 into Coinbase and one which was worth $2.4 billion at its listing. Forget even bothering to calculate the CAGR

But Angel Investing is not dominated by big money but by small Individual actors who are willing to risk their personal money (not other people’s money) on ventures they feel holds promise. Big money on the other hand is attracted to PE funds which come into play at a much later time frame in the company and at a much higher valuation. 

In many ways Momentum Investing I think can be compared with Micro Cap Investing. Once again, Microcap investing is a do-it-yourself model with investors investing in companies that have very little or no coverage at all. Most small cap funds don’t go below 5000 Crores in Market Cap while there are 1700+ companies that are having a market cap of 1000 Crores or less and are profitable. 

Momentum in recent times has attracted superlative interest thanks to the strong returns that have been generated. But this is not really out of the ordinary.  As the saying goes, every dog has its day so is the same with factors. 

Nothing comes easy. Not Momentum, Not Value, Not Quality and Not Micro Caps. But each of them have made people rich (mostly those who have managed funds for others but also a few investors who have stuck to the thesis).

Recently there has been extreme clamour for DIY momentum portfolios. With the ability to execute with just a single click, this has made it easy for even those with no understanding of markets let alone factors to try and ride the trend. 

Fascinating years for most markets are generally followed by dull years when the markets tend to go nowhere and the only thing you can do is stick to the strategy and hope for the best. From my own Momentum Backest for instance, the high of 2008 was broken by the strategy only in 2014. How many will have the willpower to go through such a long period of literally Zero returns I wonder.

The returns from investing in Mutual funds for the same period would not have been any different but at least you had no decision or action to execute every week or month. Yet, Mutual Funds on a whole saw outflow of funds from 2008 to 2013 (cumulative). The outcome for the investor in essence will not be based on the strategy but his own behavior and how he would be able to overcome the same during the tough times.

Concentration or Diversification – the age old question

“There is one other rule you ought to keep in mind and that is to concentrate, and not only in the Zen sense. Sweet are the uses of diversity, but only if you want to end up in the middle of an average.” Adam Smith, The Money Game

Other than in my early years, I have for most part been a concentrated investor / trader. For a long time, my only positions were in Nifty (leveraged). Concentration I firmly believe is the key to wealth but as it happened in my own case, the risk is that if it doesn’t work out, you are doomed to failure. 

While not all great investors of time have been concentrated investors, they have whenever opportunity came forth for a great trade were willing to go way beyond what they would generally be comfortable with.

Check out this article on famed “Value Investor” Bill Miller for instance

While investors get to make a lot of noise when Rakesh Jhunjunwala picks up stocks, 50% of his portfolio is just Titan. I on the other hand get antsy when a stock in my portfolio breaches the 6% mark. 

In the world of Portfolio Management Services (something I try to track closely), most portfolio managers believe in concentration with portfolio size being around 20 stocks. There are of course outliers on both sides. From a 5 stock portfolio to a 50+ stock portfolio. 

I don’t know how many clients of PMS firms have become rich thanks to the astute investments by the fund manager but the biggest gainer generally happens to be the fund manager. This is because of two reasons

One: Most PMS firms have a performance fee (in addition or in lieu to management fee). What this does is provide for the fund manager kind of leverage that most of us cannot fathom.

As an example, think of a fund manager who has 1 Crore of his own funds invested into his own fund which also happens to have 100 Crore of Client money. Assume a 10% performance fee. In a year like the one just gone by (FY 2020-21) where the Index itself doubled (nearly), the performance fee would be 10 Crores. 

While his own investment too would have yielded him a Crore of Rupees in Profit, it’s the Performance Fee that takes his own return to one that is 10 times others. It’s as good as if he had taken a 10 Crore Position using his 1 Crore as Capital (10x Leverage). Bill Hwang, the ill famed fund manager was leveraged 5 times on his capital but unlike with management of other people’s money, the downside belonged to him only (and hence his meltdown of sorts)

While the first reason is the one most advisors would want to become a fund manager but something outside the scope of most of us, the Second reason is what we as investors can coattail. 

Two: Most fund managers have total skin in the game. Most of them have much of their net worth invested in the same stocks / portfolio that they are advising to clients. This is real concentration – concentration in a single strategy / fund. The risk is of course if the fund manager doesn’t perform (in which case the question that needs to be asked is, why is he managing other people’s money).

If the objective is to try and achieve a return of around 18%, this cannot be achieved by investing across PMS / Mutual Funds / Advisory Portfolio’s. If the objective is to achieve a return of around 12%, you don’t need anything other than a simple Index Fund that tracks the Nifty 50. A mix would hopefully provide a return that comes close to the middle – 15%.

My own objective is to achieve the best returns possible. Risk as I have come to understand is part and parcel regardless of the methodology or factor or strategy you invest into. As long as you can keep behavior under control, you should be fine.

When I started my Journey into the world of Momentum Investing, I had no real goals as such other than wanting to be invested in a strategy that gave me confidence both during the good times and the bad. 4 Years later, I think the conviction if anything has only grown. 

Some Numbers:

Compounded Annual Growth Rate since Inception stands at 28.21%. This is way too high and not possible to continue for long.

NAV with Benchmark: There are essentially two benchmarks I use. 

Nifty 500 for comparison with a passive market Index.

Second is to seek to beat the best Mutual Fund performance for the same period (my Inception to date). Since this is forward looking, the Mutual Funds generally keep changing over time. Last year it was Axis Bluechip Fund while this year it was Parag Parikh Flexicap Fund (if I used the filter for only Flexicap funds) or Quant Active Fund. 

Since the Investment was not a lumpsum but added over time, XIRR is a way to compare with a passive benchmark which can be invested into. I used Nifty Next 50 since in 2017 when I started this, that was the hot index everyone was recommending to invest into

If you were to observe, you can see that outperformance has been strong at times and other times the performance is more or less equal to that of the fund. I was checking for a longer period (using the back-test data) and saw the same happen over and over again. 

What this showcases I feel is that while Momentum can provide for strong out-performance in the long run, this can only be achieved if you were also willing to stay through the periods when the returns are either in line or sub-par.

Drawdown:

While risk can be measured in various ways, drawdown is the most visible. Last year when I wrote, I had just experienced the worst drawdown since I had started this portfolio. The portfolio was able to hit the all time high only in November of 2020. The last time NAV had seen an all time high before this was in January 2018. While it was painful not to have a new high for all these times, it was helpful in the sense that it provided me enough time to boost up the capital invested. Capital deployed increased by 335% and hence while in absolute terms the return is still just around 87%, in monetary terms, it has been pretty big.

Monthly Returns

Just as sort of record keeping, I have been posting the monthly returns on Twitter. Provides a context with respect to how the market and the model is behaving.

Overall, I feel comfortable with the strategy and its performance. While I am sure that I shall see the Yin and Yangs in terms of performance, I feel the strategy as a whole should hold up over the years and decades to come.

Given the social circumstances outside, this has been an astonishingly good year from the investment perspective. Until next year ..Be Good. Be Safe

Previous Posts:

Year One: Momentum Investing – An Experiment with Real Money

Year Two: 2 Years of Momentum Investing – An Overview

Year Three: 3 Years of Momentum Investing

The Value of a Back-Test and Momentum Investing

I recently saw the reality sitcom “Shark Tanks” {Season 10 is available on Amazon Prime}. As an entrepreneur, this is an amazing show highlighting the tough path of bringing an idea to reality. While I kind of dislike the behavior of the Sharks who act pretty cruel, this being television and if they are really investing real money, they have all the right to ask the tough questions.

The two main deal breakers for those who couldn’t get a deal were 

  1. The person has a great idea but is yet to execute or has failed at execution. 
  2. He or She is not fully committed to his enterprise (it being either a part time venture or one of the multiple he is trying to run)

The gap between an idea and the ability to execute it so wide that the vast majority of those with ideas are never really able to execute successfully. You may have heard that google wasn’t the first search engine, but did you know that even the famous logic of Google thata set it apart – ranking of page – wasn’t new. It was invented by Robin Li Yanhong who later went onto found Baidu.

In the Shark Tank, of the few ideas that seemed to be vetted among the thousands that come up for a chance to pitch. But even among the few we are able to see, it’s interesting to see how vast the difference is between those who are just ideating or have had a one off viral sales and one who has worked round the clock to ensure consumer connect and is trying to fulfill a requirement.

The second and what has been generally a deal breaker is the commitment of the entrepreneur to his baby. Most if not all are fully committed and often have invested big money of their own savings before coming to pitch to sell an equity stake. The Sharks seem to hate those who are still currently employed elsewhere while trying this out in their free time (there have been exceptions, but since we don’t have data on all those who apply and get rejected, I would assume a vast majority would fall in this category).

When it comes to finance, it’s easy to talk about how great one’s stock picks are or how great one’s strategy is. The spin can be narrative on the company, it’s great products, it’s wonderful management, it’s enormous scope among plenty others or the quantitative spin.

The quantitative spin refers to the ability to showcase back-tests that show how you could have multiplied your money using a particular strategy that has been discovered by the strategy seller. But most such back-test fail when they are implemented in real time with real money.

The reason for the failure lies in the fact that rather than start with a hypothesis that has a strong fundamental backing, most back-tests are based out of testing hundreds or even thousands of rules till one stumbles across the one that seems to meet every characteristic one was looking out for.

For example, take David Leinweber‘s totally brilliant discovery: that butter production in Bangladesh, U.S. cheese production, and sheep population in Bangladesh and the U.S. together “explained” (in a statistical sense) 99% of the annual movements of the S&P 500 between 1983 and 1993. (Link)

Unfortunately post the discovery, the whole correlation fell apart. But that is what data mined back-test is all about.

Back-testing today has been made very easy thanks to the availability of data and processing power that can run through millions of combinations to find the optimal ones with relative ease. A small investor or a trader sitting on a laptop can find good correlations combining multiple strategies using tools such as Amibroker or R.

A good back-test is built on a hypothesis that is of a sound nature. The reason for testing the data of a historical era is to try and understand if certain strategy that sounds interesting and worthwhile to follow has in the past delivered returns of the nature we seek.

While years of history can be tested and plotted in a few minutes, the reality is much different even if history repeated itself as much of back-test assumes.

Assume for instance a strategy that delivered great returns. This despite the fact that it did not reach its all time high for 6 years after a very great run. 6 years of being under-water is something no investor relishes and one that is a huge career risk to a fund manager. 

Would you be willing to bet on such a strategy. Remember, this strategy beats the hell out of any other comparable index in the long run, but how long is something that is left undefined. If you are willing to invest, how much of your equity holding would you be willing to allocate?

On smallcase, I am finding more and more advisors launch momentum strategy. This is good for more advisors mean better appreciation and understanding of a strategy. But it comes with a caveat – most of the back-tests are extraordinarily good. That in itself is not a bad thing if the strategy is properly tested but with not much data available publicly to validate the same, it sounds a bit too good to be true.

A second disappointment is the fact that many advisors offer packages that come as low a time frame as a month. This when testing would have shown them that even after 3 years, there is always a probability of the client being in the red. 

Back-tests should always be taken with a bag of salt unless you have been able to replicate it yourself. But that is generally not possible due to the proprietary nature of the strategy even though if you were to look at the portfolio’s, more than 80% of them would overlap with each other. As the famous quote from Kungu Panda goes, “There is no secret ingredient”

But beware of strategies that try to do too much – looks great in testing, can be sloppy when it comes to real time. The ideal way to improve your returns always lies with you – allocating right. Tinkering to show better returns is easy, but it always comes with a cost to the end user. More variables, more prone are the results to data mining bias.

Momentum Investing is no different from other factor investing strategies when it comes to recovery periods from draw-downs. They suffer like everyone else, the only advantage being that when they perform, they outclass most others. 

Do not venture unless you are committed for the long run for the short run is mostly messy and one that is unlikely to provide favorable results other than in unusual periods such as 2017. 

Rotation of Factors – Keeping up with Sharmaji ka Beta

Factor Investing hasn’t made much inroads in the Indian financial markets even though we keep talking about Value, Quality and some times Momentum. Along with Volatility and Size, the key styles of factors among the many are all the rage in the United States with assets under management exceeding 900 Billion Dollars.

2017 was a year when Size factor was the rage with small cap stocks outperforming large cap stocks. While size premium does exist, the premium doesn’t come free and instead is compensation for risks that exists in the small-cap world such as liquidity and corporate governance. 

2018 was a year when the Size factor mean reverted. Small cap stocks fell out of favor and large cap stocks gained credence with Nifty 50, the market cap weighted index being the front runner among broader indices.

2019 has been a year when the Quality factor has been in the limelight and thanks to the narratives that have been written about how great companies will keep generating returns better than the market.

The Momentum factor did well by participating in the small cap rally of 2017, got whacked a bit in 2018 due to the lag factor impacting its ability to get / stay out of stocks that had peaked and were on the way down while doing better than many other strategies this year.

The thing I want to showcase is that there is nothing that is constant and will out-perform the markets year on year. As regular readers know, I am a strong believer in Momentum factor with all my equity allocation being invested in the Momentum Portfolio. The portfolio peaked in January of 2018 and is even today down 16% from the peak even though the compounded growth rate from inception is in the range of 15.85%.

This long period of under-performance isn’t surprising and for me has been a welcome move for it allowed me to deploy a significant amount of capital and be ready and invested when the factor moves back to the limelight. While this could happen in 2020 or even in 2021, the tests I have done and the literature that surrounds factor investing and its value add provides me the belief that in the long run I can handsomely benefit. 

Buying quality stocks such as HDFC AMC or HDFC Life at valuations that make no sense today isn’t wrong as long as you are willing to stick with the same strategy over time. The expectation of returns may need to be moderated by looking at the longer term returns of the strategy vs the returns delivered in recent times, but its unlikely they will under-perform heavily in the long term.

What is risky is when people buy momentum stocks and cloak that with a growth or value narrative. A good story sells yet it also sets a trap for the investor who is unable or rather unwilling to exit when the story ends and the stock enters a phase of long term bearishness.

The best time to invest in a factor is not when everyone is talking about it, positively or negatively but when none is willing to talk about it. Currently that would be the Value strategy with cheap stocks becoming cheaper by the day thanks to lack of interest that has compounded many stocks lack of strong growth. 

Markets keep mean reverting on the long term which means what is what is not working today has a greater possibility of being back in the limelight a few years down the lane while one that currently shines takes a backseat.

The biggest advantage of factors such as Low Volatility or Momentum is that the stocks that come up in their buy list can belong to any of the factors. This in a way automatically provides for factor rotation. But if you aren’t confident of being able to move across factors, stick with the one you can stick for the long term regardless of short term performances for there will always be something that is doing better than the one you are holding.

Chart: The ways to Skin the Market – Factor Investing

Factor investing hasn’t got of to a start in India even though most people talk about factors. Value based on how you derive it is a factor that could be used as a way to rank stocks and buy the cheapest.

The following chart is from US where the Value factor primarily defined by buying stocks that are cheap as measured by Forward Price by Earnings has been under-performing the market for close a decade now. Yet, its the one that is the most popular. Maybe fund managers are hoping that at some point it shall mean revert and start to be great again.

The fact that interests me most about factor investing in India is the virgin nature of the concept. Most fund managers are happy to chase stories even though reading books on behavioral finance teaches us as to how easy its to get misled through stories weaved by crafty promoters.

Factors on the other hand being totally quantitative, its easier to overcome our challenges for the data stares right back at us. The best book to read on building such quantitative based strategies would be What Works on Wall Street by James O’Shaughnessy

Which of the above factors do you think makes logical sense and which don’t?