IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v3y2003i1p28-39.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1088/1469-7688/3/1/303
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1088/1469-7688/3/1/303?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Härdle, Wolfgang Karl & Nasekin, Sergey & Lee, David Kuo Chuen & Fai, Phoon Kok, 2014. "TEDAS - Tail Event Driven ASset Allocation," SFB 649 Discussion Papers 2014-032, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. 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.
    4. repec:hum:wpaper:sfb649dp2014-032 is not listed on IDEAS
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:quantf:v:3:y:2003:i:1:p:28-39. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RQUF20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.