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An Excursion into the Statistical Properties of Hedge Funds

Author

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  • Harry. M Kat

    (ICMA Centre, University of Reading)

  • Sa Lu

    (ICMA Centre, University of Reading)

Abstract

This paper provides an overview of the most important statistical properties of individual hedge fund returns. We find that the net-of-fees monthly returns of the average individual hedge fund exhibit significant degrees of negative skewness, excess kurtosis, as well as positive first-order serial correlation. The correlations between hedge funds in the same strategy group are of the same order of magnitude as the correlations between funds in different strategy groups and relatively low. Only 10-20% of the variation in the average individual hedge fund's returns can be explained by what happens in the US equity and bond markets. Compared to individual funds, portfolios of hedge funds tend to exhibit lower skewness, higher serial correlation and higher correlation with stocks and bonds. Movements in the US equity and bond markets still only explain 20-40% of the variation in hedge fund portfolios returns though. Finally, an equally-weighted portfolio of all funds in our sample offers a 2.76% higher mean return than the average fund of funds. This strongly suggests that the timing and fund picking activities of the average fund of funds are not rewarded by a higher return.

Suggested Citation

  • Harry. M Kat & Sa Lu, 2002. "An Excursion into the Statistical Properties of Hedge Funds," ICMA Centre Discussion Papers in Finance icma-dp2002-12, Henley Business School, University of Reading.
  • Handle: RePEc:rdg:icmadp:icma-dp2002-12
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    File URL: http://www.icmacentre.ac.uk/pdf/discussion/DP2002-12.pdf
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    References listed on IDEAS

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    1. Chris Brooks & Harry. M Kat, 2001. "The Statistical Properties of Hedge Fund Index Returns," ICMA Centre Discussion Papers in Finance icma-dp2001-09, Henley Business School, University of Reading.
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    Cited by:

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    2. Mark Hutchinson & Liam Gallagher, 2008. "Simulating convertible bond arbitrage portfolios," Applied Financial Economics, Taylor & Francis Journals, vol. 18(15), pages 1247-1262.
    3. Bessler, Wolfgang & Drobetz, Wolfgang & Henn Overbeck, Jacqueline, 2005. "Hedge Funds: Die Königsdisziplin" der Kapitalanlage," Working papers 2005/04, Faculty of Business and Economics - University of Basel.
    4. Benoît Dewaele, 2013. "Leverage and Alpha: The Case of Funds of Hedge Funds," Working Papers CEB 13-033, ULB -- Universite Libre de Bruxelles.
    5. Fischer, Thomas & Lundtofte, Frederik, 2020. "Unequal returns: Using the Atkinson index to measure financial risk," Journal of Banking & Finance, Elsevier, vol. 116(C).
    6. Denvir, Emily & Hutson, Elaine, 2006. "The performance and diversification benefits of funds of hedge funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(1), pages 4-22, February.
    7. Liam Gallagher & Mark Hutchinson & John O’Brien, 2018. "Does Convertible Arbitrage Risk Exposure Vary Through Time?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-25, December.
    8. Johan Knif & Dimitrios Koutmos & Gregory Koutmos, 2019. "Modeling the Risk Dynamics of Hedge Funds," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 8(1), pages 1-3.
    9. Benoît Dewaele, 2013. "Portfolio Optimization for Hedge Funds through Time-Varying Coefficients," Working Papers CEB 13-032, ULB -- Universite Libre de Bruxelles.

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