IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/halshs-00184814.html
   My bibliography  Save this paper

Assessing Hedge Fund Performance: Does the Choice of Measures Matter?

Author

Listed:
  • Huyen Nguyen-Thi-Thanh

    (Groupe Sup de Co La Rochelle, LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique, LR-MOS - La Rochelle - Management, Organisation & Société - CEREGE [Poitiers] - Centre de recherche en gestion [EA 1722] - IAE Poitiers - Institut d'Administration des Entreprises (IAE) - Poitiers - UP - Université de Poitiers = University of Poitiers - UP - Université de Poitiers = University of Poitiers - ULR - La Rochelle Université)

Abstract

In this paper, we conducted a comparative study of ten measures documented as the most used by researchers and practionners: Sharpe, Sortino, Calmar, Sterling, Burke, modified Stutzer, modified Sharpe, upside potential ratio, Omega and AIRAP. This study was carried out in two stages on a sample of 149 hedge funds. First, we examined the modifications of funds' relative performance in terms of ranks and deciles when the performance measure changes. Despite strong positive correlations between funds' rankings established by different measures, numerous significant modifications were observed. Second, we studied the stability/persistence of the ten measures in question. Our results show that some measures are more stable or persistent than the others in measuring hedge fund performance.

Suggested Citation

  • Huyen Nguyen-Thi-Thanh, 2007. "Assessing Hedge Fund Performance: Does the Choice of Measures Matter?," Working Papers halshs-00184814, HAL.
  • Handle: RePEc:hal:wpaper:halshs-00184814
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00184814
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-00184814/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brown, Stephen J & Goetzmann, William N, 1995. "Performance Persistence," Journal of Finance, American Finance Association, vol. 50(2), pages 679-698, June.
    2. Capocci, Daniel & Hubner, Georges, 2004. "Analysis of hedge fund performance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 55-89, January.
    3. Eling, Martin & Schuhmacher, Frank, 2007. "Does the choice of performance measure influence the evaluation of hedge funds?," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2632-2647, September.
    4. Baquero, Guillermo & ter Horst, Jenke & Verbeek, Marno, 2005. "Survival, Look-Ahead Bias, and Persistence in Hedge Fund Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(3), pages 493-517, September.
    5. Brown, Stephen J & Goetzmann, William N & Ibbotson, Roger G, 1999. "Offshore Hedge Funds: Survival and Performance, 1989-95," The Journal of Business, University of Chicago Press, vol. 72(1), pages 91-117, January.
    6. Daniel Capocci & Albert Corhay & Georges Hubner, 2005. "Hedge fund performance and persistence in bull and bear markets," The European Journal of Finance, Taylor & Francis Journals, vol. 11(5), pages 361-392.
    7. Malkiel, Burton G, 1995. "Returns from Investing in Equity Mutual Funds 1971 to 1991," Journal of Finance, American Finance Association, vol. 50(2), pages 549-572, June.
    8. Franklin R. Edwards & Mustafa Onur Caglayan, 2001. "Hedge Fund Performance and Manager Skill," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(11), pages 1003-1028, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Klubinski, William & Verousis, Thanos, 2019. "On the underestimation of risk in hedge fund performance persistence: geolocation and investment strategy effects," MPRA Paper 109766, University Library of Munich, Germany, revised 03 May 2021.
    2. Martin Eling, 2009. "Does Hedge Fund Performance Persist? Overview and New Empirical Evidence," European Financial Management, European Financial Management Association, vol. 15(2), pages 362-401, March.
    3. Fan Yang & Tomas Havranek & Zuzana Irsova & Jiri Novak, 2022. "Hedge Fund Performance: A Quantitative Survey," Working Papers IES 2022/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2022.
    4. Michael Busack & Wolfgang Drobetz & Jan Tille, 2017. "Can investors benefit from the performance of alternative UCITS funds?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(1), pages 69-111, February.
    5. Benoît Dewaele, 2013. "Portfolio Optimization for Hedge Funds through Time-Varying Coefficients," Working Papers CEB 13-032, ULB -- Universite Libre de Bruxelles.
    6. Vikas Agarwal & Vyacheslav Fos & Wei Jiang, 2013. "Inferring Reporting-Related Biases in Hedge Fund Databases from Hedge Fund Equity Holdings," Management Science, INFORMS, vol. 59(6), pages 1271-1289, June.
    7. Agarwal, Vikas & Fos, Vyacheslav & Jiang, Wei, 2012. "Inferring reporting biases in hedge fund databases from hedge fund equity holdings," CFR Working Papers 10-08 [rev.], University of Cologne, Centre for Financial Research (CFR).
    8. Stafylas, Dimitrios & Andrikopoulos, Athanasios & Tolikas, Konstantinos, 2023. "Hedge fund performance persistence under different business cycles and stock market regimes," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    9. Auer, Benjamin R. & Schuhmacher, Frank, 2013. "Robust evidence on the similarity of Sharpe ratio and drawdown-based hedge fund performance rankings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 153-165.
    10. Auer, Benjamin R. & Schuhmacher, Frank, 2013. "Performance hypothesis testing with the Sharpe ratio: The case of hedge funds," Finance Research Letters, Elsevier, vol. 10(4), pages 196-208.
    11. Muteba Mwamba, John, 2014. "Another reason why the efficient market hypothesis is fuzzy," MPRA Paper 64383, University Library of Munich, Germany.
    12. Henn Overbeck, Jacqueline & Meier, Iwan, 2005. "Performance Analysis of Hedge Fonds," Working papers 2005/06, Faculty of Business and Economics - University of Basel.
    13. Nicola Metzger & Vijay Shenai, 2019. "Hedge Fund Performance during and after the Crisis: A Comparative Analysis of Strategies 2007–2017," IJFS, MDPI, vol. 7(1), pages 1-31, March.
    14. Andrew W. Lo & Mila Getmansky & Peter A. Lee, 2015. "Hedge Funds: A Dynamic Industry in Transition," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 483-577, December.
    15. Benoît Dewaele, 2013. "Leverage and Alpha: The Case of Funds of Hedge Funds," Working Papers CEB 13-033, ULB -- Universite Libre de Bruxelles.
    16. Eling, Martin & Faust, Roger, 2010. "The performance of hedge funds and mutual funds in emerging markets," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1993-2009, August.
    17. Benjamin R Auer, 2016. "Pure return persistence, Hurst exponents and hedge fund selection – A practical note," Journal of Asset Management, Palgrave Macmillan, vol. 17(5), pages 319-330, September.
    18. Emanuel Derman & Kun Soo Park & Ward Whitt, 2010. "A stochastic-difference-equation model for hedge-fund returns," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 701-733.
    19. El Kalak, Izidin & Azevedo, Alcino & Hudson, Robert, 2016. "Reviewing the hedge funds literature I: Hedge funds and hedge funds' managerial characteristics," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 85-97.
    20. Bussière, Matthieu & Hoerova, Marie & Klaus, Benjamin, 2015. "Commonality in hedge fund returns: Driving factors and implications," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 266-280.

    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:hal:wpaper:halshs-00184814. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.