IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Assessing the impact of heteroskedasticity for evaluating hedge fund performance

  • Marshall, Andrew
  • Tang, Leilei
Registered author(s):

    Recently there have been a number of differing findings in the empirical evidence on fund performance. In this paper we suggest this difference could be explained by the treatment of the regression assumptions. The crucial question in this paper for investors is whether the presence of heteroskedasticity causes size distortion in testing fund performance. Our simulation findings indicate that heteroskedasticity can have significant impact on the evaluation of fund performance. We also apply a wild bootstrap approach to test a sample of hedge fund data. Our results suggest that one of the possible reasons for superior performance of hedge funds is that the bootstrap data generating process cannot fully account for heteroskedasticity. Overall, our results are consistent with the view that hedge funds are a heteroskedastic group and wild bootstrap is well suited to the performance measurement of hedge funds.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/B6W4W-51JF8B3-2/2/935ed98dce31fd7b4e4f3b54c103f075
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal International Review of Financial Analysis.

    Volume (Year): 20 (2011)
    Issue (Month): 1 (January)
    Pages: 12-19

    as
    in new window

    Handle: RePEc:eee:finana:v:20:y:2011:i:1:p:12-19
    Contact details of provider: Web page: http://www.elsevier.com/locate/inca/620166

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Gaurav Amin & Harry. M Kat, 2001. "Hedge Fund Performance 1990-2000- Do the "Money Machines" Really Add Value?," ICMA Centre Discussion Papers in Finance icma-dp2001-05, Henley Business School, Reading University, revised Sep 2001.
    2. Kosowski, Robert & Timmermann, Allan & Wermers, Russ & White, Hal, 2005. "Can mutual fund stars really pick stocks? New evidence from a bootstrap analysis," CFR Working Papers 05-14, University of Cologne, Centre for Financial Research (CFR).
    3. Goncalves, Silvia & Kilian, Lutz, 2004. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 123(1), pages 89-120, November.
    4. Russell Davidson & Emmanuel Flachaire, 2001. "The wild bootstrap, tamed at last," LSE Research Online Documents on Economics 6560, London School of Economics and Political Science, LSE Library.
    5. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    6. William N. Goetzmann & Stephen J. Brown, 2005. "Performance Persistence," Yale School of Management Working Papers ysm451, Yale School of Management.
    7. Vikas Agarwal, 2004. "Risks and Portfolio Decisions Involving Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 63-98.
    8. Emmanuel Flachaire, 2005. "Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00175910, HAL.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Ferson, Wayne E & Schadt, Rudi W, 1996. " Measuring Fund Strategy and Performance in Changing Economic Conditions," Journal of Finance, American Finance Association, vol. 51(2), pages 425-61, June.
    11. Kosowski, Robert & Naik, Narayan Y. & Teo, Melvyn, 2007. "Do hedge funds deliver alpha? A Bayesian and bootstrap analysis," Journal of Financial Economics, Elsevier, vol. 84(1), pages 229-264, April.
    12. Chen, Son-Nan & Keown, Arthur J, 1981. "Risk Decomposition and Portfolio Diversification When Beta Is Nonstationary: A Note," Journal of Finance, American Finance Association, vol. 36(4), pages 941-47, September.
    13. Jonathan B. Berk & Richard C. Green, 2004. "Mutual Fund Flows and Performance in Rational Markets," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1269-1295, December.
    14. Liang, Bing, 2000. "Hedge Funds: The Living and the Dead," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(03), pages 309-326, September.
    15. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1703, 08.
    16. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
    17. Eugene F. Fama & Kenneth R. French, 2010. "Luck versus Skill in the Cross-Section of Mutual Fund Returns," Journal of Finance, American Finance Association, vol. 65(5), pages 1915-1947, October.
    18. Blake, David & Lehmann, Bruce N & Timmermann, Allan, 1999. "Asset Allocation Dynamics and Pension Fund Performance," The Journal of Business, University of Chicago Press, vol. 72(4), pages 429-61, October.
    19. Friend, Irwin & Blume, Marshall E, 1970. "Measurement of Portfolio Performance Under Uncertainty," American Economic Review, American Economic Association, vol. 60(4), pages 561-75, September.
    20. Carl Ackermann & Richard McEnally & David Ravenscraft, 1999. "The Performance of Hedge Funds: Risk, Return, and Incentives," Journal of Finance, American Finance Association, vol. 54(3), pages 833-874, 06.
    21. F. Cribari-Neto & S. G. Zarkos, 1999. "Bootstrap methods for heteroskedastic regression models: evidence on estimation and testing," Econometric Reviews, Taylor & Francis Journals, vol. 18(2), pages 211-228.
    22. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 275-302.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:finana:v:20:y:2011:i:1:p:12-19. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.