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Data Analysis | Portfolio Yoga

The Contrarian Fund Manager – Prashant Jain

Peter Lynch is seen as one of the greatest fund managers even though the period where he managed real public money is of a time frame that is extremely short when one compares him with other great fellow investors.

Prashant Jain has been managing what today is known as HDFC Balanced Advantage Fund (but earlier known by other names) for what very few fund managers have managed historically. 1994 to 2022 is a very long period for an open ended mutual fund manager to be at the reins of any fund. The only person who I can name and one who has a phenomenal track record of his own is Anthony Bolton who managed  Fidelity Special Situations fund from December 1979 to December 2007.

If you wish to check out more about Anthony Bolton, do check out his book Investing Against the Tide: Lessons From a Life Running Money 

Do note that while he was part of the funds since the start (as Head of Equities), he wasn’t the CIO of the funds themselves until a much later time (2001 for HDFC Top 100, 2003 for HDFC  BAF and 2003 for HDFC Flexicap). But since he was involved in the decision making process, I am looking at the complete cycle vs only from when he assumed full control.

Note: While I shall use the current fund names, most of them went through different names and objectives in the past. 

How does one assess a fund manager whose timeframe of managing money is greater than what the average age of an investor is today. He started at a time when today’s dominant exchange, the National Stock Exchange, just about commenced operations. 

One of the complaints that most investors have with fund managers who manage funds, large or small, is that many of them are just closeted investors. In other words, they try to mimic the Index pretty closely and hence generate returns that are no different from the Index but for which one ends up paying a fee that is multiple times that.

Regardless of whether you are a believer in him or not, one thing that most won’t disagree with is that Prashant was less of a closet indexer even though as the size of his fund grew, it obviously would have placed a limitation on where he could invest.

He was lucky too. His bad bets, even with which he was able to closely generate Index returns, came after he had already made a name for himself. If the path had differed and he had made similar bets in the past when he was not really well known, it’s doubtful we ever would have heard of him.

Breaking down the Performance

Let’s start by looking at the yearly performance of the 3 funds he managed vs the Sensex returns. Do note that while Mutual Fund returns are Total Returns, I am using non Total Returns of Sensex since Total Returns data doesn’t go as long back as the 90’s

1999 (when he was not the fund manager) and 2003 (when he was) were blockbuster years for all their funds. The outperformance above the Index can be better seen in the following chart

The first 10 years sees some massive outperformance, the next 6 decent outperformance and finally the last 12 not so much. Geometric Average outperformance for the periods

HDFC Balanced Advantage Fund (then known as Zurich India Equity Fund but started out as Centurion Quantum ) was able to ride the bull in the Dot com bubble and then get off before it all crumbled down. As a result, it gave an incredibly good Alpha both in the years of the bubble and the years when the market fell. When markets rose once again from the Ashes in 2004, the fund was once again able to maximize.

But in the last 10 years or so, the outperformance is basically gone. Do note that I use non TRI to compare but am also using a Regular plan (where the bulk of the money I assume is invested anyways). While TRI is seen as the right benchmark, there is no way to get TRI Index returns and hence a better benchmark would be a Index Fund for that is the real alternative investors could have invested into.

When we are looking at long term trends, starting points can create substantial bias. One way to eliminate and smoothen out to see how a fund performed vs its peer / benchmark is to compare returns on a rolling scale.

Short term comparisons to me are meaningless since there is a lot of noise and factor of luck in the short term. Anything from 5 years and above starts providing good understanding. 

The first few years were incredible Alpha generators. Way better way to look at the excess returns would be by way of this chart

For investors upto 2014, the funds continued to produce Alpha. Post that, it declined with 5 year excess returns getting into negative territory.

One reason that is given for the decline is his bad picks (or rather contrarian picks). But the contrarian side was what saved the funds during the dot com bubble phase. So, in a way it evens out. 

How about the AUM growth? We unfortunately don’t have much data. Anand Gupta was kind enough to share data from 2012. Here is the growth of assets in the scheme over the last decade

But does the above picture reflect the real change? No. Remember, markets have gone up since 2012 and that organic growth would have moved the AUM higher even without any inflows. We need to remove the gains in assets which came in because of the markets to get a better understanding of the numbers. Removing the gains the fund made, here is the rebased chart

While HDFC Balanced Advantage shows strong growth, one aspect that is missing here is the impact of merger of other schemes into it. The other two have actually lost AUM though point to point AUM is higher thanks to the market’s growth.

80% of the Assets under Management come through Mutual Fund Distributors and the data seems to suggest that they were either moving away from the funds or dissuading inventors from adding more. Either way, its finally returns that are the key to continued investments by clients with even the famed Seth Klarman facing withdrawals after years of underperformance

Managing other people’s money is tough but what attracts the best of the minds is the financial incentives that accompany this endeavor. Higher the asset one manages, more the Income and in a way this creates an incentive to focus more on asset gathering than generating alpha for clients. 

It’s doubly tough to be a contrarian fund manager if one is an employee because the risk to one’s career is multifold. Most funds with a couple of decades of history generally have seen multiple fund managers getting the hot seat and then being removed based purely on performance. 

The risk of being contrary is that when things don’t work out the way one anticipates, everyone would pitch into say how stupid one had to be to invest and lose money in a stock that even a  man wouldn’t touch. 

In his most recent memo, Howard Marks talks about taking the path not taken. But the example he uses is of the one guy who took a non beaten path and emerged victorious. Those who take a path that is contrarian by nature and don’t succeed are those we never hear about. Remember, Abraham Wald and the Missing Bullet Holes

India hasn’t had a fund manager managing public equities for the length of time Prashant Jain has been at the helm. Nilesh Shah, CEO, Kotak Mahindra Mutual Fund compared him to Don Bradman of our times. 

If you look at his outperformance generated by the funds he was part of in the first ten years, he did have an average that no fund manager of today can match. But if you were to look at his recent ten year outperformance, it would be hard not to see him as Kohli, an incredibly talented batsmen but who currently has been out of form for a long time.

Outperforming the markets today is way tougher than it was two decades back as information arbitrages have dwindled down. Everyone has the same information as the next guy. Stray too far from the herd like what a few managers have tried and you shall be pilloried. This even if you actually end up being right. Only time this works is if you are right and the rest of the world is wrong in which case there will be some grudging acknowledgement. But even there, there are big ‘if’s”. And if they fail while trying to be different and generating excess returns? Remember Santhosh Kamath?

Overall, I would say Prashant will pass off as one of the great fund managers in India. While we can quibble on his value add over the last few years, the fact also remains that at no point of time was his portfolio seen as untouchable by other fund managers. Getting timing right with major trends is enormously tough and there is no shame in getting it wrong as long as his clients get a decent return. 

Finally I am reminded of the famous dialogue in the movie Ratatouille 

Some reading sources: 

2001 article on Zurich India Equity Fund

2010 article on Prashant Jain in Forbes

Market Timing Luck – When should you Rebalance

Luck plays a large role in many a person’s life regardless of whether they choose to accept it or not starting right from the family they were born to. Luck is like the catalyst in a chemical reaction – small in proportion to the other chemicals out there but large in the role to play.

When one is building a trading system, one way to check out whether the trading system has real value is by subjecting the results of the back-test to Bootstrapping and Monte Carlo. This provides for one to analyze a system without being held hostage to its path dependency of the past.

Systematic Momentum investing has not gained much followership even though the majority of investors are in the camp of Momentum Investing. In Momentum Investing there is an element of luck that is introduced in various ways – one way that is of great interest to me ever since I started to focus on it has been around the question of when to rebalance one’s portfolio.

The best interval for rebalancing is for Daily with the worst being Yearly. This is because as close as you are to the daily changes, the better the ability to enter a stock as soon as it starts showing momentum and vice versa for exit. 

On the other hand, the longer your holding time frame before rebalance, the higher the probability of mean reversion kicking in and eating a chunk of your returns before the reset happens. While there is no optimal time frame, higher transactions lead to higher levels of transactions and taxes. 

I rotate my portfolio once a month. While academic evidence has pointed to monthly being a pretty optimal (not the most), the choice was dictated by other reasons including the fact that when I started with Momentum Investing, I was working with Capitalmind and there we already had a Qualitative Momentum strategy that rotated once a month. 

There is a great deal of Literature around Timing Luck. To learn more about this, do read this post by Corey Hoffstein 

The Dumb (Timing) Luck of Smart Beta

Also check out

Strategic Rebalancing

My own rebalance happens on the first day of the month. Idea has been to keep it simple and one that when I was working synchronized with my Salary being credited enabling me to add to the portfolio if I so wished. 

It shall be in a few days 3 years since I started and the results while not fantastic has been way better than what I could have achieved by investing in any other Long only product. That was until March 2020.

When the Corona Virus first started making news, I tried to study the possible impact on markets given my own large exposure to them. From what I could study about previous epidemics,I figured that the worst case scenario was one that I could digest without having to deviate from my current plan and strategy. Man, was I wrong.

As a trader before and investor today, losing money I have understood is part and parcel of the process. What I wish to understand more was whether the path I had chosen had hidden risks that got exposed in such times. In case of Momentum Investing, the question was whether my performance would have been better if I had stuck to a mid month rebalance vs a start of the month rebalance.

While I have thought about going down to Weekly, I have found little evidence of it having a better risk management for the additional trouble and costs I need to pay. Same goes for a fortnightly rebalance as well. In hindsight, the only way I could have saved a lot of grief this time around without panicking and exiting my portfolio was by way of buying Puts. But given how much of the markets which is where my portfolio comes from had deviated from Nifty, this would have cost me in the last two years even as the portfolio had suffered.

March 2020 was different though. I calculated that if I had rebalanced (not exited) the portfolio at the middle of the month, I could have saved a whopping 10% vs what I lost by rebalancing at the end of the month. 

But was this a one off or does rebalancing mid month does add value {Remember, the time period difference between two rebalances continues to be a month} was what I wanted to test and hence I set out to test the strategy of rebalancing mid-month.

When I got the results, it blew me off. It’s not that the mid-month was better, it’s just how bad that was and how Lucky I was to have chosen a start of the month rebalance instead. Here is the over-all comparison on a Net Asset Value basis

I broke this down in monthly terms

What I find fascinating is that the mid-month strategy works better in bear markets than in bull, but because in the last 15 years, the testing period, bull markets have been the dominating factor, small differences have added to a substantial outperformance.

The question that needs to be asked is Why? Why does a mid-month rebalance suffer so much versus a beginning of the month rebalance. The honest answer is I don’t know but I do think, rather, I can speculate that this may have something to do with how large investors deploy. 

To me, this fall has been more educative with the cost much more bearable than all the other market crashes I had participated in the past (going right back to the Dot Com bubble crash). The answers I come across confound my own beliefs, but that is why one needs to keep testing alternatives so as to be sure that one is not mistaking good luck for great strategy. It’s a real thin line out there in the world of finance.

End Note: We are starting to build some Momentum in the Slack Channel. It’s a network effect and hence should take more time to build the environment that enables people to share and discuss views and strategies, but believe we will be there.

Mayhem in Markets. Will it End

Every Bull and Bear market is different yet when the dust is settled, it’s all the same. What is different is the way the market behaves and the speed at which it acts.

India has seen three major busts till date – 1992, 2000 and 2008. We hear those since they were related to either major scams or global market meltdowns. But those aren’t the only times markets have fallen. 

In 1991, with India on the verge of political instability (the then Chandrasekhar government could not pass the budget in February 1991) and a serious economic crisis. Foreign Exchange Reserves were declining to the extent that India in January 1991 borrowed $777 million from the IMF.

But markets had peaked in October 1990 and by the end January was down by 41%. But right when it should have crashed and burned, markets started to rise even though Foreign exchange reserves dropped to an all-time low of $1.1 billion in June 1991, barely sufficient for two weeks of imports. But the October 1990 high was taken out by July of 1991.

{Source of Fx Data: Montek Singh Ahluwalia. BACKSTAGE: The Story behind India’s High Growth Years}

Between 1986 to 1988, again a period of government instability, markets fell 40% before recovering all by October of 1988. 

Let’s look at some International Evidence

First, the London Market during World War II. The pics below is from the book Wealth, War and Wisdom by Barton Biggs.

Japanese Market during World War II and later the Korean War (Peak and Trough)

Biggs concludes with the following

Is Corona Virus the Black Swan that will result in a total breakdown of financial and social infrastructure as we know it? I don’t know but I think the odds are pretty low even though as country after country closes their gates to outsiders, it surely feels as such.

In the last leg of a bull market, the seller is staying away hoping for a better price tomorrow while the buyer is willing to pay whatever the market asks today. Today, we are seeing the opposite of it with the buyer staying away hoping for a cheaper price tomorrow while the seller is willing to sell it at whatever price it can get.

Which reminds of this famous pic from the Great Depression

Let’s look at the broader picture to understand where we stand today. First off the 10 year return.

If you had invested in Sensex 10 years ago, your compounded return today would stand at 5.02%. The previous time you had seen this kind of low return in this Century was if you had invested in 2007 just before the financial crisis brought the world’s banks to its knees. Most of the other instances are for investors who invested in the period between 1991 to 1994 (ending period being 2001 to 2004).

The Sensex is currently 26.50% below the 200 day MA.

Red Horizontal Line is where we are today

While it has come here couple of times in 1992 and 2002, the only other time it was comprehensively down was in 2008.

Nexg, a look at one of my favorite breadth indicators. Percentage of stocks that are trading above their 200 day EMA’s 

We have briefly went below in the past but other than in 2008, rarely stayed there for more than a few days at best.

Number of Stocks with Positive Momentum

Basically this is closing in onto the lows of 2008 (which came nearly 8 months after the crisis started versus being in the very first month this time around)

New 52 Week Lows

On Friday, 1000+ stocks registered a new 52 Week Low. With 2500 stocks being in the database, this means that 40% of the market was hitting new 52 week lows that day. A record with exception of 2 such days in October 2008.

Relative Strength Index {RSI}

Relative Strength Indicator is an indicator used to measure the strength or weakness of a stock or market based on the closing prices of a recent trading period. As of today’s close, 1400+ stocks are in oversold zone

30 Day Volatility

Enough Said.

A Interesting Twitter Thread

Compared to other falls where disruption was caused due to economic reasons, this time around the fall has very little to do in terms of direct economic or bank / credit related reasons. Banks are very much in business, there is no credit freeze or houses and jobs being lost, at least not yet.

Weak businesses need very little reason to fail and Cornavirus may be instrumental in taking them out of the works. Non Performing Assets may rise but given what we have already seen, the rise may not be as catastrophic as we assume.

The darkest hour is just before dawn. I don’t know if we can go darker for there is plenty of space to go lower, but the odds are already in favor of investing if one can hold onto it for a few years. 

In recent years, company growth has been ispid but still very much in positive territory. While future earnings will definitely be impacted by the current situation, the question is how much and how much of it has already been discounted.

Drawdown from Peak

On the NSE, just around 27 stocks have a draw-down from peak lower than 20%.

There is no magic strategy that can avoid draw-downs. Be it Passive or Active, Be it Value or Growth or Momentum or Quality, you shall be hit with draw-downs some time or the other. Going to cash seems an optimal way but this generally comes at the cost of returns. One cannot regularly keep going into Cash and still out-perform the market. 

Dow as I write this is down another 2000 points and now close to breaking the 19,000 levels, a level from which it broke out in 2017. On the other hand, our Small Cap Index is pretty close to where it opened in 2010 (and was where it was in late 2007 as well) while the Nifty Mid Cap and Nifty 50  Index are where they were last found in 2015.

Stick to your strategy. That is the best hope for now and forever.

Chart: Savings in Expense Ratio

Everything Is Relative said Albert Einstein. In stock markets, this is done by way of Bench marking our performance against another Portfolio. In the United States, ETF assets have grown at a compounded rate of 25% in the past decade as investors have shifted big time from Active Funds to Passive driven by consistent under performance by Active funds against the Benchmark Indices.

While the flow into ETF’s in the US is into the Top 500 stocks, in India much of the flows is into the Top 50 stocks. Having said that, the interesting data point to not here is that the returns of Nifty 500 since its Inception actually matches that of Nifty 50.

Performance of Nifty 50 vs Nifty 500 since Inception of Nifty 500

The biggest advantage of Passive is the savings on Fees which over time can be a huge. If you were to start your investment journey and save say a Lakh of Rupees for Retirement per year and add another Lakh per year which goes up by 6% every year, this is the difference between paying 0.10% or 1.25%  which is the approximate average of Direct Mutual Fund Fees versus Regular Mutual Fund Expense Ratio which is around 2.25% over a period of 30 years.

Comparing the Life time Expense (based on current expense ratios)

The differential itself is pretty incredible. Where is paying 3.60 Lakhs versus paying 45 Lakhs or 81 Lakhs. If you are investing in Large Cap funds, it makes very little sense to invest into any Mutual Fund and yet the truth is that 20% of Equity Mutual Funds are Large Cap oriented.

While on Twitter we find a lot of ETF warriors, the issue lies with the fact that financial products are more of a Push Product than Pull. This means that some-one has to paid to sell mutual funds or ETF’s or Insurance or for that matter any other product that asks for your savings.

ETF’s despite their growing popularity are an abandoned child. The biggest advantage of Mutual Funds lie in not just their commission model that allows others to benefit from the sales but also the fact that there is a fund manager who you can point fingers to in case of under-performance.

In case of the ETF, there is none other than maybe a couple of Fee only Advisors.

With RIA’s rules getting changed in favor of the big boys, I doubt this shall change. The benefits will be limited to the few while the majority will continue to pay a higher fee for a inferior product that serves them better neither on Return or on Risk.

Chart: Nifty Performance every Decade

1990’s – Harshad Mehta, India Liberalization, P V Narasimha Rao

Best Year: 1990
Worst Year: 1995

2000 – Ketan Parekh, India Shining, Manmohan Singh

Best Year: 2009
Worst Year: 2008

2010 – 2G Spectrum, Rise of Mutual Funds, Narendra Modi

Best Year: 2014
Worst Year: 2011

Buy this years Winners or Losers?

It’s that time of the year when you start finding analysts coming up with the Top stocks to buy. Basically there are three ways in which such lists are prepared – search for the best stocks of this year and recommend the same for the next year in anticipation of continuation of Momentum.

Search for the worst stocks and recommend the same for the next year in anticipation of a mean reversion or Recommend a random set of stocks and hope that something clicks.

Most investors on the other hand will rather buy a stock that is down 80% for the year than buy something that is up 80% for the year. It’s just a behavior trait. But how does buying a stock that was the best of last year pan out versus buying a stock that was the worst of last year.

Since 2010, the average gain of the best 100 stocks of the year has come to around 200%. On the other hand, the average loss of the worst 100 stocks of the year is about 60%. In other words, if you had created an equal weighted portfolio of the best stocks of the next year, your capital would be 3x what you started with while if you were unlucky and bought the worst 100, your capital would have gone down by 60%.

Do note that if you have a stock that has lost 60% from the time you bought it, it needs to move up by 150% for you to just break even. Other than in extreme bear markets such as 2008, more than 70% of the stocks that fell 60% or more never break-even or take years.


Here is the data for every year since 2010. 

If you observe the data closely, you can see that the worst stocks of this year save for 2 years of the 9 years under consideration. While best stocks didn’t shine greatly, they did end up positive in 4 out of 9.

There is a very wrong belief that buying stocks that are going up is Momentum Investing. It is equivalent to saying that all beaten down stocks are value. Neither is True and the results above are proof of that.

Momentum is mean reverting. What this means is that if you hold a stock that is seeing strong momentum over an extended period of time, you are likely to take a hit since the stock generally sees reversal.

Take a look at the table below. Longer your holding period and higher the diversification (size of portfolio), lower is the return

CAGR of the value-weighted portfolios

Pic Source: https://amzn.to/2ZyUHfd

What would be interesting to research is whether buying a portfolio of the best stocks and holding for a short period of time works better. While trends tend to phase out over time, one month holding for the best stock of the past year should give out a better return than holding the same for one year. 

Looking back at the Decade that went by

Days pass into weeks, weeks into months, months into years, years into decades and decades into centuries. It’s amazing how time flies. 

2009 was a great year for the markets if you did not remember 2008. Nifty 50 went up by 75%, the best yearly change since its inception and yet it was still 18% below the highs of 2008. Stocks, many of which had been beaten to death a few months earlier were showing great sign of recovery.

While not a single stock on the National Stock Exchange had closed in positive territory in 2008, in 2009 just 50 stocks out of the 1200+ that gets traded closed in negative territory with 600+ stocks doubling from their opening price of the year or more.

When we started this decade, the overwhelming question that was on every investors mind was whether this rally will sustain or its just a mirage before the world ends. Ten years later, the question has remained the same even though the Index is today up 133% from those times with many stocks having generated much higher returns.

Not really surprising given that the past decade that had just ended had seen 2 major crashes – first the dot com bubble burst and then the financial crisis of 2008. But for those who were willing to bet on a brighter future, the returns while not overly fabulous haven’t come with the kind of draw-downs we saw in the decade of 2000 to 2009 either. 

Let’s look at Index returns over the past decade. I have used compounded annual growth rate throughout this post since that offers a better comparison with other asset class returns than absolute.

Nifty Sector and Thematic Index returns over the decade

Your best bet for the decade would have been to be invested in Nifty Private Bank Index. Of course, even better would have been to be invested in Bajaj Finance. The current favorite, Nifty 50 generated a compounded return of just around 8.9% per annum. To give you a comparison, Franklin India Ultra Short Bond Fund – Super Institutional Plan – Regular Plan (Direct Plans did not exist in 2010) had a CAGR of 9.12%.

10 Year CAGR Returns of Ultra Short Term Debt Funds

Total Returns of Nifty 50 would be slightly higher than the Bond Fund but how many of us reinvest all the dividends we receive. The very fact that we are comparing Debt returns with Equity returns is like comparing apples with oranges. 

But what it shows is that even though this was a really great decade, this has been the decade with the lowest return since data starts for BSE Sensex. 

Drawdowns

While the period of 2000 to 2010 saw multiple large crashes (2000, 2004, 2008), in the current decade, the max draw-down never exceeded 30% from the peak (for Nifty 50). This is reflected even in Option Premiums as can be gathered using India VIX which has been trending lower through the decade.

This is not unique to India either as even in the United States and elsewhere, Volatility has just disappeared. Will it come back with a bang in the coming decade, we will need to see. But draw-downs as we have seen in the past can be great opportunities for those who are well prepared.

Political Stability

For the first time in many decades, we have had pretty strong stability when it came to the Central Government. This was missing for decades with the last decade where we witnessed such stability coming maybe in the 1960’s. 

What about Mutual Funds? 

Unlike stocks, Mutual Fund data isn’t clean. Over the decade funds have been merged, renamed and category in which it invests have got changed. So, you have Survivor Biased data, but something is better than nothing, Right?

The best fund for the decade excluding sector funds was Canara Robeco Emerging Equities Fund – Regular Plan which has a CAGR of 18.50% over the period. Small and Mid Cap funds have been the biggest winners. Mirae which has an entry here through Mirae Asset Large Cap Fund was actually a Multi Cap fund until very recently. 

Basically, no Large Cap Funds were able to make it to the top 25 list. My belief is that the next decade would not be different either. But then again, who knows the future

Equity (Regular Schemes) returns over the past decade

Much better than most Indices but with the benefit of hindsight. 

One reason for the returns for the decade being on the lower end of one’s own expectation could be linked to the fact that earnings growth has been inspid for quite a while. In fact, as the table below (Credit to Sandeep Kulkarni) shows, the last few years have been absolute disasters for a country which is supposedly the fastest growing in the world and the next best bet after China.

International Scenario

Most of us have a very strong home country bias when it comes to investing. Then again, the issue with International Investing is not just having to deal with higher transaction cost and tax liabilities but also with the fact that you need to account for currency movements which can add or subtract from your returns.

Using ETF’s that are traded in USD, here are the best countries and their returns. The Best country to have been invested, the country that brought down everyone else in 2008 – United States of America.

India barely gave any returns when measured in Dollar Terms {I used Invesco India ETF for this exercise). Sensex Dollex 30 has a 10 year CAGR return of 4.80% while Nifty 50 USD 10 year return is 4.43% 

I was recently listening to a podcast of Peter Mallouk where he talked about the importance of allocation and how that can make or break a lot of things. While its important to invest in the right assets, the key to generating wealth is to be able to allocate right.

I believe the coming decade will be one of the better ones for the Indian Markets. As of today, the average age of an Indian is around 29 years. While the earlier generation shied away from markets due to lack of information and resources plus a lack of understanding of risks, I believe that the younger generation is more attuned to it.

What this means is that while currently 85% of savings go into the blackhole called Real Estate, over the coming decade and a half we should see a significant shift to Equities. This along with the fact that unless India grows we will face nothing short of a revolution gives me hope that this could be the start of a new age for Equity Investors.

Wishing you a very Happy New Year and a Great Decade ahead.