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Fooling Some of the People All of the Time: The Inefficient Performance and Persistence of Commodity Trading Advisors

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  • Geetesh Bhardwaj
  • Gary B. Gorton
  • K. Geert Rouwenhorst

Abstract

Investors face significant barriers in evaluating the performance of hedge funds and commodity trading advisors (CTAs). The only available performance data comes from voluntary reporting to private companies. Funds have incentives to strategically report to these companies, causing these data sets to be severely biased. And, because hedge funds use nonlinear, state-dependent, leveraged strategies, it has proven difficult to determine whether they add value relative to benchmarks. We focus on commodity trading advisors, a subset of hedge funds, and show that during the period 1994-2007 CTA excess returns to investors (i.e., net of fees) averaged 85 basis points per annum over US T-bills, which is insignificantly different from zero. We estimate that CTAs on average earned gross excess returns (i.e., before fees) of 5.4%, which implies that funds captured most of their performance through charging fees. Yet, even before fees we find that CTAs display no alpha relative to simple futures strategies that are in the public domain. We argue that CTAs appear to persist as an asset class despite their poor performance, because they face no market discipline based on credible information. Our evidence suggests that investors' experience of poor performance is not common knowledge.

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  • Geetesh Bhardwaj & Gary B. Gorton & K. Geert Rouwenhorst, 2008. "Fooling Some of the People All of the Time: The Inefficient Performance and Persistence of Commodity Trading Advisors," NBER Working Papers 14424, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:14424
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    Cited by:

    1. Jeffrey A Frankel & Andrew K Rose, 2010. "Determinants of Agricultural and Mineral Commodity Prices," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    2. Miffre, Joëlle & Brooks, Chris, 2013. "Do long-short speculators destabilize commodity futures markets?," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 230-240.
    3. William Fung & David Hsieh & Narayan Naik & Melvyn Teo, 2021. "Hedge Fund Franchises," Management Science, INFORMS, vol. 67(2), pages 1199-1226, February.
    4. Bolong Cao & Shamila Jayasuriya & William Shambora, 2010. "Holding a commodity futures index fund in a globally diversified portfolio: A placebo effect?," Economics Bulletin, AccessEcon, vol. 30(3), pages 1842-1851.
    5. Adam Zaremba, 2010. "Are Managed Futures Indices Telling Truth? Biases in CTA Databases and Proposals of Potential Enhancements," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 4(4), December.
    6. Nicolas P. B. Bollen & Mark C. Hutchinson & John O'Brien, 2021. "When it pays to follow the crowd: Strategy conformity and CTA performance," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 875-894, June.
    7. Frankel, Jeffrey A., 2014. "Effects of speculation and interest rates in a “carry trade” model of commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 88-112.
    8. Zhang, Hanxiong & Auer, Benjamin R. & Vortelinos, Dimitrios I., 2018. "Performance ranking (dis)similarities in commodity markets," Global Finance Journal, Elsevier, vol. 35(C), pages 115-137.
    9. Dichev, Ilia D. & Yu, Gwen, 2011. "Higher risk, lower returns: What hedge fund investors really earn," Journal of Financial Economics, Elsevier, vol. 100(2), pages 248-263, May.
    10. John M. Mulvey, 2012. "Long--short versus long-only commodity funds," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1779-1785, December.
    11. Scott H. Irwin & Dwight R. Sanders & Aaron Smith & Scott Main, 2020. "Returns to Investing in Commodity Futures: Separating the Wheat from the Chaff," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(4), pages 583-610, December.

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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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