Posted on 26 September 2012.
Over the last seven years the money professionally managed in the commodity futures markets has more than quintupled! According to hedge fund tracking firm Barclays, assets under management rose from about 41 billion dollars in 2001 to more than 219 billion dollars today!
As worldwide demand for commodities continues to heat up and more investors (institutional and individual) start seeing commodities as a sensible investment vehicle, this trend is expected to continue. This growth has also raised the need for ways to select a commodity trading advisor. In this article, we will outline what we believe are some of the best tools, and methods available to the individual investor when choosing a managed futures product.
Let’s first define what managed futures are and what they are not. Managed futures are not stocks or ETF’s that just invest in commodities. Managed futures accounts are investments in which funds invest in mainly leveraged, future dated contracts for commodities or financial instruments. Commodities can include sectors such as food, energy, raw materials and financial instruments like interest rates and stock indices.
The leverage, risks and rewards can be (but are not always) substantially higher when investing in the futures markets vs. the stock market. The National Futures Association and the Commodity Futures Trading Commission regulate managed futures investments in the United States (unless the firm / fund have “exempt” status). Regulated firms hold a Commodity Trading Advisors (CTA’s) or Commodity Pool Operators (CPO’s) license, but keep in mind, just because a firm carries a license is in no way an endorsement of future performance. Futures trading can carry large potential risks and is not for everybody. Investors should be familiar with all the risks before investing.
Finding lists of potential managers to sort through is fairly easy if you know where to look. Firms such as Barclays Trading Group, Stark Research, Autumn Gold and Altegris Investments have databases of manager information available. AutumnGold summarizes a free (with registration) online database of over 450 programs. Also, the programs can be sorted by a wide range of parameters such as minimum account size, funds under management, and various performance measurements.
The only problem we see with the online databases is that it can become somewhat overwhelming to try and narrow down your choices to just a handful of managers. To help simplify the process, we would like to share what we think are some of best performance metrics.
Our first recommendation is to forget return! The least significant statistic often is a manager’s return. How can that be you ask? What matters is RISK ADJUSTED RETURN. Just because somebody bet the farm and got lucky does not mean it was a nifty idea. Sooner or later (most often sooner) the inevitable wipe out will occur with a manager betting too aggressively.
There are many traditional risk adjusted return measurements, the most popular of which being the Sharpe ratio. The Sharpe Ratio compares the return relative to the underlying volatility in the investment. Although we are in agreement with the Sharpe Ratio’s logic, we feel it has one serious flaw. The flaw is that the Sharpe Ratio only views past volatility and does not try and predict future volatility. As a result, we feel the Sharpe ratio does not give an adequate view of the potential risks involved in a program.
A good example of this comes from the world of the “option writers” (those who sell options). Since most options end up expiring worthless, it is not uncommon for managers that sell options to have excellent Sharpe Ratios. They can have smooth looking equity curves that have produced for many years, but just because an equity curve looks smooth and consistent does not mean it will stay that way. What happened is meaningless if you do not have the same results. Option sellers with longer term excellent track records tend to have quick, spectacular “blowups”. The problem, in our opinion, is that past volatility is not a reliable predictor of future volatility.
What is a reliable predictor you ask? In our opinion, one of the best volatility predictors is the “Margin to Equity Ratio” (MTE). The MTE tells you roughly how much of your investment would be used for margin purposes. This number will vary day-by-day for a given manager, but you can get the average range. If, for example, a managers MTE is 10%, this means that for every $ 100,000 you invest the manager uses about $ 10,000 of this for margin. Keep this in mind; the exchanges set margin based on their approximations of risk. The higher the exchange perceives the risk in a contract the higher the margin they set. We encourage you to think just like the exchanges and raise your expectations for potential risk as the MTE goes higher. If we go back to the example of the option writers with exceptional Sharpe ratios, you will also see that they often have high MTE ratios. We believe that these high MTE ratios were the tipoff that could have avoided many disastrous scenarios. Once again, just as the exchanges often raise margin requirements as their expectation of volatility rises, so too do we see the potential for volatility (risk) to be higher as the MTE rises.
Another important use of the MTE comes down to pure math. If you have two managers that made a $ 30,000 return, yet one used $ 30,000 in margin to do it, and the other used $ 60,000 in margin to do it, then the results are different. Based on margin usage one manager’s return was twice as high as the others. This is essential to keep in mind, because often managers can appear to have similar performances, but when you dig down into their margin usage you see large differences.
What is an ideal MTE? In our opinion, we do not like to see margin to equity ratios much above 10%. This is on the low end of the spectrum for managed futures accounts and cuts out most managers. Although it is true that low MTE ratios are no guarantee of lower risk, we feel that, at the minimum, it is possibly a decent gauge of sound risk management. Once again, it is our belief that as the MTE rises so does the potential for risk. There is also a related risk measurement often referred to as “portfolio heat” that uses similar concepts.
In summary, what we suggest is that you compute returns not based on what the manager reported, but rather based on the return on margin (you should also compute the risk and drawdown the same way). This will level the playing field and allow you to compare apples-to-apples. We are also in favor of being on the conservative side of the MTE spectrum, for us that means that we would likely reject any manager with a ratio above 10%. Using this method can help you narrow down your list of choices to a manageable number rather quickly. After you have done this then, you can then look and compare all the other risk adjusted performance measures and further refine your selection. (At this risk of this article being too long we will save the other risk adjusted performance measurement discussions for future installments).
We want to caution once again that, in the end, no measure is a guarantee or assurance against risk or losses. Past performance is not always indicative of future results. Futures’ trading involves risks and is not for everybody. We are simply sharing with you what we feel is the best method by which to select a manager.
Mr. Dean Hoffman attended Pennsylvania State University where he studied computer science. In 1987 Mr. Hoffman initially began his career as a commodity broker and worked for several large futures commission merchants in Chicago. After many years as a broker, Mr. Hoffman formed his own trading firm at the Chicago Mercantile Exchange. Throughout this period Mr. Hoffman intensively researched and developed algorithmic trading systems. In 2001 Mr. Hoffman formed a financial software firm, Strategic Trading Systems, that markets algorithmic trading systems. This firm is a corporation that has been registered with the CFTC as a commodity trading advisor since February 2000, and Mr. Hoffman has been registered with the CFTC as its sole associated person since that date. In June 2004 Mr. Hoffman formed Hoffman Asset Management Inc. He became registered with the CFTC as an associated person of Hoffman Asset Management Inc. on August 4, 2004, and he became an NFA Associate on the same date. Mr. Hoffman is responsible for all trading decisions as well as the day-to-day operations of the Advisor.
Mr. Hoffman resides in Central Pennsylvania with his wife and three children.
For a related article to this topic please visit the following URL: “The Small Futures Account Conundrum”