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Optimal allocation to hedge funds: an empirical analysis

Author

Listed:
  • J. Cvitanic
  • A. Lazrak
  • L. Martellini
  • F. Zapatero

Abstract

What percentage of their portfolio should investors allocate to hedge funds? The only available answers to the above question are set in a static mean-variance framework, with no explicit accounting for uncertainty on the active manager's ability to generate abnormal return, and usually generate unreasonably high allocations to hedge funds. In this paper, we apply the model introduced in Cvitanic et al (2002b Working Paper USC) for optimal investment strategies in the presence of uncertain abnormal returns to a database of hedge funds. We find that the presence of the model risk significantly decreases an investor's optimal allocation to hedge funds. Another finding of this paper is that low beta hedge funds may serve as natural substitutes for a significant portion of investor risk-free asset holdings.

Suggested Citation

  • J. Cvitanic & A. Lazrak & L. Martellini & F. Zapatero, 2003. "Optimal allocation to hedge funds: an empirical analysis," Quantitative Finance, Taylor & Francis Journals, vol. 3(1), pages 28-39.
    • Handle: RePEc:taf:quantf:v:3:y:2003:i:1:p:28-39
    DOI: 10.1088/1469-7688/3/1/303
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    Citations

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    Cited by:

    1. Wolfgang Bessler & Julian Holler & Philipp Kurmann, 2012. "Hedge funds and optimal asset allocation: Bayesian expectations and spanning tests," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 109-141, March.
    2. Harris, Richard D.F. & Mazibas, Murat, 2013. "Dynamic hedge fund portfolio construction: A semi-parametric approach," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 139-149.
    3. Wolfgang Karl Härdle & Sergey Nasekin & David Lee Kuo Chuen & Phoon Kok Fai, 2014. "TEDAS - Tail Event Driven ASset Allocation," SFB 649 Discussion Papers SFB649DP2014-032, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    4. Giamouridis, Daniel & Vrontos, Ioannis D., 2007. "Hedge fund portfolio construction: A comparison of static and dynamic approaches," Journal of Banking & Finance, Elsevier, vol. 31(1), pages 199-217, January.
    5. Adam, Alexandre & Houkari, Mohamed & Laurent, Jean-Paul, 2008. "Spectral risk measures and portfolio selection," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1870-1882, September.
    6. Lan T.P. Nguyen & Malick O. Sy & Cheng M. Yu & Sayed Hossain & Tan B. Chen, 2019. "Are Funds of Hedge Funds Efficient? An Empirical Analysis for North American, Asia Pacific, and European Long/Short Funds of Hedge Funds," Multinational Finance Journal, Multinational Finance Journal, vol. 23(1-2), pages 37-64, March - J.
    7. Harris, Richard D.F. & Mazibas, Murat, 2010. "Dynamic hedge fund portfolio construction," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 351-357, December.
    8. Martin Eling & Simone Farinelli & Damiano Rossello & Luisa Tibiletti, 2010. "Skewness in hedge funds returns: classical skewness coefficients vs Azzalini's skewness parameter," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 6(4), pages 290-304, September.
    9. Congming Mu & Jingzhou Yan & Jinqiang Yang, 2023. "Robust risk choice under high-water mark contract," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 295-322, July.

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