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Is Buy and Hold Dead?

Tuesday, June 8th, 2010

 After reading a recent debate, I decided to chime in with my own thoughts on the matter. Somehow the discussion of buy and hold evoked the typical academic responses of markets being efficient and so forth.

A few comments on ‘efficiency’

Market efficiency implies that all information is assimilated into the current market price, and therefore there is no possibility that you can buy assets cheap, to then sell high, because if it was truly cheap, the market would quickly jump in to buy the security, thus bidding up the price, eliminating the opportunity. Fantastic, but is it logical? This is similar to the University of Chicago line of thinking that if there was a $20 bill on the floor, it must be fake because someone would have picked it up by now. We all know that there is a very high possibility that short term inefficiencies exist. The quant funds have all but proven it: DE Shaw, Medallion, AQR Capital are all funds that trade in liquid equity markets but arbitrage short term opportunities. A hedge fund expert wittingly referred to these funds as “excess liquidity providers”.  My favorite response to anyone who says that markets are efficient is: “that is a self fulfilling prophecy” …

The Buy and Hold Debate

Buy and Hold is an “asset allocation policy” … it basically implies that the strategic asset allocation it the best guess as to what will be the best performing allocation over the investment horizon (typically 1+ years). If you do not think buy and hold works, that means you adjust the strategic asset allocation (ie shift equity weightings up and down over time) and make tactical trades (short term opportunities that present themselves in the market) to add alpha.  Dynamic asset alllocation therefore, is saying that “buy and hold” doesnt work (ie “Buy and Hope” …. :-) .  Time varying asset allocation emphasizes that dynamically switching the asset allocation you can minimize the downside of bear markets, overweight markets that are rallying, etc. It is the holy grail of money management: “equity like returns with bond like risk”. 

Due to the increased difficulty in cranking out decent returns, it is even more important to “think dynamically”.

Performance of a 70% stocks, 30% bonds Portfolio

The chart below shows how difficult money management has been. A portfolio of 70% stocks and 30% bonds (note we are using the MSCI US Stocks Index, total return, for stocks, and the Salomon Brothers US Treasury Index, for bonds) performed as follows:

  • +16.6% per year from 1985-1999, with a standard deviation of 10.9%, compared with…
  • +1.8% per year from 2000-2010, with a standard deviation of 11.1% 

This is a huge drop in annualized values in an aggressive Equity portfolio (far below the risk free rate of return), with an elevated level of risk. The return to risk ratio was nearly 9x higher from 1985 – 19999 versus the past ten years.

Returns by Market (80s and 90s versus 2000s)

 

 There was a huge drop in asset class returns between the two periods. further strengthenting the case for a more dynamic approach to asset allocation in the 2000s. Even bonds have fared substantially worse in the past decade than the prior 15 years. 

Returns by Asset Class (80s and 90s versus 2000s)

Another asset class focused way to see the same data …

Efficient Frontier Comparison

This secular shift in returns between the different decades has produced a notable response to the buy and hold, academic oriented crowd: a notable downward push to the efficient frontier. Interpretations of the efficient frontier are as varied as how people like their eggs in the morning.  Some think it is useful, others useless, some think it is a good framework, others think it is a good tool for clients to see and not much else. Regardless, it is a mathematical approximation as to the “best, most efficient portfolios using return and covariance measures”.  Utilizing expected returns from these different periods, the following two, vastly different efficient frontiers were produced.

Conclusion

This is slicing the past thirty years into two periods, one when the business environment was booming and capital markets surged, and the other when the world suffered two disastrous bear markets and a global mini-Depression. Buy and Hold is a methodology that worked “before” and it is unlikely that it will work in the future.  After the carnage in 2008 and 2009, portfolio managers have lowered their expectations. With the world economy still unstable and risky, investors have accepted this fact, and our view is that asset allocation has to be more imaginative and dynamic.

 

 

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“Security Selection” within the Portfolio Management Process

Friday, May 28th, 2010

Talking to asset managers is always difficult. Yes you can have a great sense of their returns by looking at the myriad of stats available, (1-, 3-, and 5-year rolling returns, batting average, up- and down-capture, sharpe ratio, information ratio, to name a few) and you may even have a good qualitative assessment of the firm (their process, depth of their team, culture of the firm, etc). But to hear a manager pitch his fund is a grueling process.

You are always left wondering: how the hell can I assess whether the manager will outperform the market over the investment horizon (say a year or so). Does it even matter if the market is down 20% over the subsequent year?

Security selection is the part of the portfolio management process that is vital, and we historically were of the opinion that why complicate things? Throwing in a slew of more variables to analyze makes the process that more complicated. Let’s say conservatively when looking at 10 equity markets globally, along with 4 bond markets, plus commodities, you closely evaluate 5 indicators per market:

As you can imagine, this in and of itself is plenty of variables to

But now you throw in fund managers into the equation. Here is where it gets complicated. Client gives you, Advisor, the money, and you can either allocate directly to “markets” or invest in managers, that then invest in the markets.

Unfortunately we think there are so many negatives involved in this process, that it is never worth it. Let’s start with some key facts:

  • 75% of all funds underperform “the benchmark” net of fees
  • Clients pay you and then you are implicitly paying the manager *double layer of fees!*
  • Manager screening is another significant challenge for any advisory firm
  • Historical returns and wonderful pitchbooks are no indications of future returns

We think the model an investment advisor should proceed with is a combination of an asset manager (bottom up security selection + top down macro views) plus the investment advisor (matching capital market views to client-specific situations, ie portfolio allocations).

 

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How we see ourselves …

Monday, May 17th, 2010

Covert Analytics is a different product. We hope that is obvious when you see our product for the first time, the ease by which our product gives you insightful results and analysis, and how our simple approach beats buy and hold and is the product you wish you had access to before the market crash! OK maybe not all those things, but we do hope it is a different product for you.

We cannot help but identify with another market leader, albeit in consumer electronics. And this is how we see ourselves:

Apple redefined consumer electronics, and we hope to redefine asset allocation. Our aim is not to be the most intelligent group of software developers and market practitioners, but instead the most easy to use product, that delivers the most benefits, and is one part of your business that is a stress reliever, and not a stress provider.

Sincerely,

The Covert Analytics Team

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The Importance of Covert Analytics to Your Firm

Monday, May 17th, 2010

As a dedicated software provider for the investment management industry, one of our top priorities is to educate. We do not educate to pitch our software but to educate the marketplace about our approach, which we think will definitively and sustainably improve any portfolio manager’s practice.

The recent black swans that have dominated the news have caused understandable fright among many investors and coinciding with that is a rise in apprehension among their money managers. Why is this? Because recent events are a reminder that the raging bull since March 2009 will finally be met with a formidable adversary: volatility. Vol is back. The past few weeks have brought about known risks: sovereign default risk, investor panic, wild currency swings and unknown risks such as the BP oil spill, Iceland’s volcanic ash, the US intra day market crash, etc.

There has never been a better time for an approach like ours. We think that the key differentiating factor of our software is that it was built by market practitioners, and not under the cozy umbrella of academia. A good analogy of this is being street smart versus books smart. Though the books smart guy may have the better degree and vocabulary, the one that is going to get you through the tough part of town safely is the street smart guy.

Covert Analytics is the streets smart guy. To borrow a saying from Eastern philosophy, “the best defense is a good offense”, and this is precisely what we aim to provide our clients. Our clients, again, are fancy hedge fund managers and simple fee based money managers in Ohio. The punchline we give potential clients is, for sure our market modelling is not the black box solution to solve your portfolio management process issues, but we are however a software that will help you (the money manager) sleep better at night.

The diagram below displays what we call the “Four Cornerstones of Portfolio Management” … as you will note we believe Covert Analytics touches each aspect of this four cornerstone approach.

 

1) Client Profile – this is set forth by our users when they specify the “focus” of the portfolio along with the target range. As you will note this is a no frills approach to “client specification” … as a bunch of other less relevant details can be included, however we think any advisor will agree these are the key questions to answer.

2) Asset Allocation – any user of our approach will benefit from the Covert Technique to asset allocation, by which markets are selected, quantitative risk indicators are built per market and a dynamic asset allocation (fully backtest-able) mode is constructed.

3) Security Selection – typically this would include a fund manager screening tool, however since our model allocates  to stock and bond markets along with commodity baskets, we would urge clients to view markets the same way. Top priority is picking the market and a distant second (on the priority list) is finding the vehicle.

4) Rebalancing & Monitoring – Covert Analytics emphasizes constant rebalancing as new data is incorporated into your model. The monitoring service allows you to keep a better eye on your models and the portfolios based on those models.

We hope you will see why we think our software is a great offense for any portfolio management, investment advisory or hedge fund shop. Please contact us if you have any questions.

Sincerely,

 

The Covert Analytics Team

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Suggestion for CALPERS

Friday, March 19th, 2010

We agree with the Wall Street Journal article, implying that serious investors need to rethink asset allocation. It goes without saying that an asset allocation strategy “works” over the long run, but that doesnt help navigate through ferocious bear markets.

“In their research, managers came across Denmark’s ATP fund. In 2008, that $112 billion pension fund moved from allocating investments based on asset type to what drives risk, a spokesman confirms. For example, it put private and public equities into one category called corporate earnings, which usually perform badly during economic downturns.”

That is exactly how Covert Analytics suggests portfolio managers manage portfolios! Allocating investments based on what drives risk? That is the exact definition of what our platform is trying to achieve!!!

Suggestion: CALPERS can fire all their employees (except 2), hedge funds, advisors. Maintain one employee to manage their Covert Analytics subscription and other employee to execute trades! Problem solved.

Here is the link to the WSJ article

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Why “Covert Analytics”?

Friday, March 19th, 2010

We wanted to let people know how and why we are called Covert Analytics. The idea initially was that an investment advisor would use our platform as the secret tool to help them navigate markets. The secret tool, you may ask? Yes … secret because most investment advisors would claim that their approach to the market was revolutionary, proprietary, etc. Hey at our old investment advisory firm, we did the same…

So if their asset allocation approach was from an “off the shelf” or in this case “off the web” software, it would diminish the sophistication level they projected. We wanted to partner with our clients (money managers) in offering the “best in the world” product to their end clients. Granted our platform is our perspective, and our expertise and experience in the trenches, in an attempt to better navigate the markets.

Covert + Analytics: a powerful tool used by money managers to arrive at optimal allocation decisions. 

The simple picture is that Covert Analytics is a dynamic asset allocation software that we built because we felt we needed smarter software! It is your secret weapon to manage your client assets and build a dynamic and proprietary model using our platform.

Thanks for listening,

The Covert Analytics Team

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Remarks from a hedge fund god

Wednesday, March 17th, 2010

Ed Thorp, not only a leading thinker on markets and investing, but also one of the most successful hedge fund managers out there was quoted a few years back regarding trade idea generation and how money managers need to evolve. It is a great quote and should lead anyone in the business to refocus on the essentials:

“Where do the ideas come from? Mine come from sitting and thinking, academic journals, general and financial reading, networking and discussions with other people.

In each of our three examples (blackjack, convertible bonds, statistical arbitrage), the market was inefficient and the inefficiency or mispricing tended to diminish somewhat, but gradually over many years. Competition tends to drive down returns, so continuous research and development is advisable. In the words of Leroy Satchel Paige, “Dont look back. Something might be gaining on you.”

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Some need-to-know tidbits on market timing

Tuesday, March 2nd, 2010

We grew up in the ‘hood.  The “hood” of academic circles.  Our formative years in money management were spent surrounded by brilliant academics, a few literally with Nobel Prizes, a few more PhDs, and a bunch of graduates from Wharton / Kellogg etc.  This should be a great start, you would say? It actually wasn’t.

Quoting Warren …
In retrospect, we all learned a bunch. What I would sarcastically say is that we learned what not to think.  In our defense, even Warren Buffett said at his 2009 annual shareholders meeting that if he taught a course on investing, the first thing he would do is unteach the “efficient market hypothesis”!

Cross-Check
The problem was we were building a new type of money management firm, based more on index-investing (since you could not outperform the index) rather than blindly allocating to managers. The problem with that approach was still that you needed an asset allocation approach to “beat the business cycle”. The “Chicago boys” thought this was a waste of time, markets were efficient, you could not outsmart them, etc.  This greatly upset the other half of us, who wanted eventually to run our own hedge funds and were insulted at this death knell to our future careers.

Our focus has always been on using quantitative techniques to identify when investment opportunities offer the most probable profit. Thus why we developed Covert Analytics. We were frustrated that some basic tools were not commercially available for portfolio managers, money managers, investment management firms, asset allocators, family offices, whatever label you want to give them.

Fast forward to Covert Analytics
Our platform is not a market timing software.  Our software is about identifying when forces are in place to propel asset markets further, or when valuations, monetary conditions, etc are so stretched that a price collapse is likely in the medium term.

What the Research Says
We realize how important the confidence our clients place in us is. Our entire premise is that asset allocation is the most important decision a money manager has to make. More important than security selection, more important than the aggregate effect of tactical trades, etc. Here are some studies we recently evaluated and their conclusion on market timing.

  • The Clairvoyant Investor Not Much Better Off
    Sharpe (1975) imagined an investor who had two assets to choose from: US Stocks and Cash, and invested with perfect accuracy in the “higher returning asset” plus transaction costs.  The results were rather disappointing: Perfect Timing resulted in a 15.3% annual return versus 12.8% for Buy and Hold, an outperformance of 2.5% annually.  This did include however pretty high transaction costs.
  • Missing the 10 Best? Invest in Cash
    Jeffrey (1984) did an analysis on comparing perfect accuracy with horrible accuracy, but the most interesting conclusion we thought was this: If the 10 best performing stock market years out of his study are missed, then the resulting return is equivalent to a cash return.
  • Out for Best 7%, Return of 0%
    Chandy and Reichenstein (1993) came to a similar conclusion as Jeffrey: using monthly data since 1926, they concluded that if an investor missed the best 7% of monthly returns, then the remaining 93% of the months provide a 0% return.

Clearly market timing is  a tough task. We believe that with our approach, and a wide variety of assets, outperforming the market in a systematic way is achievable.  What this research proves is the following: forecasting bull markets is just as important (actually more important) than forecasting bear markets over the long run.

BTRheT

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Will liquidity offset the foreclosure crunch?

Wednesday, February 17th, 2010

A great but largely unknown resource for investment advisors is the “Monetary Trends” publication by the St Louis Federal Reserve (stlouisfed.org).  Their site is a vast collection of great research and speeches. 

How does this resource help?
At Covert Analytics we adopt a market forecasting and asset allocation approach which is based on simple, easy to understand principles. One of our principles is that an expanding liquidity base and credit creation usually leads to a favorable environment for economic expansion, and in turn a healthy climate for stocks and bonds.  “The rising tide lifts all boats” is an apt metaphor. As most of our readers know, our entire approach to investing is buy when the climate is ripe for appreciation, and sell when the climate is risky. many of the indicators we analyze to evaluate the monetary conditions are distributed by the St Louis Fed. (click here to open publication)

$473 billion in loans set to hit the market?
We were intrigued by a research piece put out by Standard and Poors.  Thanks to Barry Ritholtz at The Big Picture for distributing such an interesting piece.  The most important conclusion of this piece was that approximately $473 billion in loans will eventually need to be liquidated, which amounts to an estimated 1.75 million properties (or about 50% of all the houses available for sale as of December 2009). In other words, it is ugly! The dollar amount is estimated based on their categorization of the loans under analysis into four categories: performing, recently cured, seriously delinquent and REO.  Finally, the tally of $473 billion comprised of seriously delinquent, REO and likely to redefault loans, will need to be liquidated unless met with a substantial pick up in demand.

Why is this important?
This is important because it will likely hang on house prices for a very long time.  No matter how you slice it, Real Estate (technically a component of “tangible assets”) is the most important component of Household Net Worth.

So lets make the assumption that due to the foreclosure estimates from the S&P study, there is a 10% decline in housing prices coming.  This would result in a household contraction of $2.3 trillion. The National Bureau of Economics Research says there is a 10% pass through effect to consumer spending as a result of declines in household net worth. This would be an economic contraction of $230 billion (which represents 1.6% of GDP).

Can excess liquidity help offset this contraction?
The Monetary Trends publication shows some disappointing trends: the velocity of money is sluggish …

 

And bank credit growth is actually contracting!

In other words, it is unlikely that we will see a pickup in demand to offset the foreclosure crunch.  The data definitely does not suggest it, and given still high loan requirement standards, lower credit scores due to inability to meet payments, and deleveraging by banks and consumers, common sense confirms it!

Here is Barry’s post:   http://www.ritholtz.com/blog/2010/02/shadow-inventory-of-troubled-mortgages/

Federal Reserve balance sheet data:  http://www.federalreserve.gov/Releases/Z1/current/z1r-5.pdf 

Thanks for reading!

The Covert Analytics Team

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The Covert Analytics Trinity

Saturday, January 30th, 2010

These are three integral components of the Covert Analytics approach, what we call our Trinity!

Here is a description of these components:

Gut feeling: We believe that the best money managers have a certain amount of experience, that translates into a “gut feeling” of the market. A deeper sense as to what drives the market’s up and down moves that does not vacillate depending on what the headlines say is causing markets to gyrate. It always amuses us when we see Bloomberg headlines that explain that “the market is up today because of X” and then subsequent day to see the market down and to have a headline that reads “X continues to disappoint, thus leading the market lower”. Gut feeling allows you to over write the noise. It allows you to have a grasp of what the market is going to do, how you will react if it unfolds and how you will manage your risk if it does not.

Systematic approach: This term refers to having a disciplined approach to investing, usually applied to ’systematic hedge funds’. A systematic hedge fund is a concept that explains the investment style of the fund, where a system is in place to trade markets irregardless of the hedge fund manager’s input. The opposite of this is a discretionary approach, ie one where the hedge fund manager makes all investment calls for the fund on an “ad hoc basis”. We do not advocate that any investment advisor adopt a black box style approach to investing, which is what the majority of systematic hedge funds employ. What we strongly advocate however is that having a systematic approach which helps you maintain a framework across booms and busts, across bull markets and bear markets, will help you achieve greater returns over the long run by avoiding common pitfalls of investor emotions.

Global macro focus: Again this is a hedge fund term, but really applies more on the markets traded than anything else. The best global macro hedge fund managers (Paul Tudor Jones of Tudor Investment Corp, or Bruce Kovner of Caxton Associates) make the majority of their investment calls on broad market moves (ie where is the S&P going, how Crude, Gold is going to trade, where the Euro is headed) and typically abstain from “I like Dell over Microsoft” type calls. It is an emphasis on global capital flows and making money on stock, bond and commodity markets across the world. They benefit from the fact that usually “there is a bull market somewhere”. So not only is this a regional de-emphasis (ie go global), it is a security type definition as well (broad market indexes).

Covert Analytics is a software platform that was developed to allow investment advisors combine these three key paradigms into one successful money management platform. Our asset allocation software was designed to allow you to combine your gut feeling, with a systematic approach (that you custom tailor), and to have a global macro focus (rather than just simply allocating to US stocks, US bonds, and Cash).

The Covert Analytics Team

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