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Managed Futures for Long‐Term Investors: A DEA Ranking Analysis
Authors:Damir Tokic
Abstract:This study proposes an alternative Data Envelopment Analysis ranking model to evaluate the relative performance efficiency of commodity‐trading advisors. I measure the performance efficiency using the decision‐making process quality/trading skills framework and depart from the traditional risk–return framework. The Data Envelopment Analysis rankings produced some interesting results. First, similarly to the previous studies, I successfully isolated two ‘superstar’ commodity‐trading advisors with the highest Sharpe ratios as the Grade A commodity‐trading advisors. However, as an improvement over the similar studies that used the traditional risk–return framework, I also isolated two commodity‐trading advisors with average and below‐average Sharpe ratios as Grade A commodity‐trading advisors.
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