The Peer Performance of Hedge Funds
An essential component in the analysis of (hedge) fund returns is to measure its performance with respect to the group of peer funds. Through the analysis of risk-adjusted return percentiles an answer is given to the question how many funds are out-performed by the focal fund. In case all funds perform equally well, this approach will lead a random number between zero and one, depending on how lucky the fund is. We use the false discovery rate approach to construct relative performance ratios that account for the uncertainty in estimating the performance differential of two funds. Our application is on hedge funds, which leads us to develop a test for equality of the modified Sharpe ratio of two funds. The effectiveness of the method is illustrated with a Monte Carlo study and an empirical study is performed on the Hedge Fund Research database.
|Date of creation:||2013|
|Contact details of provider:|| Postal: CP 8888, succursale Centre-Ville, Montréal, QC H3C 3P8|
Phone: (514) 987-8161
Web page: http://www.cirpee.org/
More information through EDIRC
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.:
- Pierre Bajgrowicz & Olivier Scaillet, 2007.
"Technical Trading Revisited: False Discoveries, Persistence Tests, and Transaction Costs,"
Swiss Finance Institute Research Paper Series
08-05, Swiss Finance Institute, revised Jul 2009.
- Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
- Laurent BARRAS & Olivier SCAILLET & Russ WERMERS, 2005.
"False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas,"
Swiss Finance Institute Research Paper Series
08-18, Swiss Finance Institute, revised Sep 2008.
- Laurent Barras & Olivier Scaillet & Russ Wermers, 2010. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Journal of Finance, American Finance Association, vol. 65(1), pages 179-216, 02.
- Laurent BARRAS & Olivier SCAILLET & Russ WERMERS, 2005. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," FAME Research Paper Series rp163, International Center for Financial Asset Management and Engineering.
- Olivier Scaillet & Laurent Barras & Russell R. Wermers, 2005. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Working Papers CEB 05-014.RS, ULB -- Universite Libre de Bruxelles.
- Barras, Laurent & Scaillet, Olivier & Wermers, Russ, 2009. "False discoveries in mutual fund performance: Measuring luck in estimated alphas," CFR Working Papers 06-02, University of Cologne, Centre for Financial Research (CFR).
- Oliver Ledoit & Michael Wolf, 2008.
"Robust Performance Hypothesis Testing with the Sharpe Ratio,"
IEW - Working Papers
320, Institute for Empirical Research in Economics - University of Zurich.
- Ledoit, Oliver & Wolf, Michael, 2008. "Robust performance hypothesis testing with the Sharpe ratio," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 850-859, December.
- Donald W.K. Andrews, 1988.
"Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation,"
Cowles Foundation Discussion Papers
877R, Cowles Foundation for Research in Economics, Yale University, revised Jul 1989.
- Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
- Scott, Robert C & Horvath, Philip A, 1980. " On the Direction of Preference for Moments of Higher Order Than the Variance," Journal of Finance, American Finance Association, vol. 35(4), pages 915-919, September.
- Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
- Dimitris Politis & Halbert White, 2004. "Automatic Block-Length Selection for the Dependent Bootstrap," Econometric Reviews, Taylor & Francis Journals, vol. 23(1), pages 53-70.
- John D. Storey, 2002. "A direct approach to false discovery rates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 479-498.
- Treynor, Jack L & Black, Fischer, 1973. "How to Use Security Analysis to Improve Portfolio Selection," The Journal of Business, University of Chicago Press, vol. 46(1), pages 66-86, January.
When requesting a correction, please mention this item's handle: RePEc:lvl:lacicr:1329. 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: (Manuel Paradis)
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.