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HedgeCo.Net Columnists
Aaron Wormus is the managing director of HedgeCo Networks, and part-time financial and technology blogger for Wormus.com.
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Seth Berlin is Principal at Performance Thinking & Technologies, a consulting firm that focuses on operations, reporting, and risk management for hedge funds and investors.
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Tim Seymour is co-founder and managing partner of Red Star Asset Management, as well as Chief Operating Officer of the $116 million Red Star Double Alpha Fund.
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Alex Akesson is the author of Hedgefunds-Weblog.com, providing breaking news and interviews for the hedge fund industry.
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Richard Heller Richard Heller is a partner at the New York City law firm of Thompson Hine LLP. His experience is in the formation of private offerings for hedge funds as well as the formation of registered broker-dealers and RIAs.
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Bret Rosenthal Principal of RCM, LLC, and founding partner of the Fortune's Favor Family of Funds.
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Cameron Hight, CFA, is an investment industry veteran with experience from both buy and sell-side firms, including CIBC, DLJ, Lehman Brothers and Afton Capital. He is currently the Founder and President of Alpha Theory™, a Portfolio Management Platform designed to give fundamental money managers the ability to create their own repeatable discipline to organize the complex process of portfolio management.
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“I must concede that my occupation, active money management, may be one of the best examples of the illusion of control in the professional world.” – Michael Mauboussin.

If ten randomly selected people play Federer in tennis, they will, with a very high probability all lose. You would get the same outcome if ten people play Kasparov in Chess. If ten randomly selected people pick a portfolio of stocks against an expert, say Warren Buffett or Seth Klarman, there is a very high probability that at least one will beat the expert. If we change the number to 100 people playing against Federer, there is still a very high probability that all will lose. With 100 random investors, you are almost guaranteed that several of the average Joe portfolios will beat the experts.

Why do experts of one field dominate, while others could lose at anytime to a random player? The answer lies in the “random” part. Think of each sport as an equation where we select the three most important variables to determine the outcome and add a random variable. For example, a random variable in tennis would be Federer breaking up with his girlfriend right before the match. We’ll say the equation for tennis is Serve + Backhand + Forehand + Random Variable = Tennis Winner. Now, add a subjective weighting of how important each variable is to success. For tennis I’ll say, 30% Serve + 20% Backhand + 40% Forehand + 10% Random Variable = Tennis Winner, for Chess I’ll say 60% Strategy + 10% Defense + 25% Board Memory + 5% Random Variable = Chess Winner. In investing, I’ll go with 30% Stock Selection + 20% Position Sizing + 20% Risk Management + 30% Random Variable = Top Portfolio.

Why is the random variable so dominant in investing? It comes down to the uncertainty associated with stock selection. There are no 100% certainties and, quite honestly, very few 80% certainties either. So if I am presented with a bet where 50% of the time I make 100% and 50% of the time I lose 10%, I’ve been given a great opportunity to achieve a 45% expected return, however, I still may lose because the recognized possibility of failure can in fact occur.

To drive the point home, take an expert lottery player versus a novice lottery player, the equation of success has no variables except the random one (assuming the novice can fill out the lottery ticket): 100% Random Variable = Lottery Winner.

As investors, we must understand that a portion of our success or failure is out of our control. It reminds me of the serenity prayer:

God, grant me the serenity to accept the things I cannot change; Courage to change the things I can; And the wisdom to know the difference.

In the dynamic where outcomes do not effectively measure decisions you must be vigilant in evaluating your decision process and prune the inherent bias that comes from watching the daily profit and loss and associating every success with good decisions and every failure with poor decisions.

For some great writing on the topic, see “Think Twice” by Michael Mauboussin, Chapter 3 – The Expert Squeeze.


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