L-performance with an application to hedge funds
AbstractThis paper introduces a new parametric fund performance measure, called the L-performance. The L-performance is an alternative to the Sharpe performance, which is commonly used in practice despite its inability to account for skewness and heavy tails of unconditional return distributions. The L-performance improves upon the Sharpe measure in this respect. Technically, it resembles the Sharpe measure in that it is defined as a ratio of the first- and second-order moments, which are the trimmed L-moments instead of the conventional (power) moments. The trimming parameters allow for focusing the L-performance on specific risk levels of interest, according to financial risk criteria. For illustration, a set of L-performances is computed for a variety of hedge funds. The empirical study shows the use of L-performance for fund ranking and return smoothing (manipulation) control.
Download InfoIf 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.
Bibliographic InfoArticle provided by Elsevier in its journal Journal of Empirical Finance.
Volume (Year): 16 (2009)
Issue (Month): 4 (September)
Contact details of provider:
Web page: http://www.elsevier.com/locate/jempfin
Hedge fund Sharpe performance L-moment Distortion risk Measure Ranking Bias ratio Manipulation;
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.:
- Karvanen, Juha, 2006. "Estimation of quantile mixtures via L-moments and trimmed L-moments," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 947-959, November.
- Norvaisa, Rimas, 1993. "The central limit theorem for empirical and quantile processes in some Banach spaces," Stochastic Processes and their Applications, Elsevier, vol. 46(1), pages 1-27, May.
- Gourieroux, C. & Jasiak, J., 2008.
"Dynamic quantile models,"
Journal of Econometrics,
Elsevier, vol. 147(1), pages 198-205, November.
- Getmansky, Mila & Lo, Andrew W. & Makarov, Igor, 2004.
"An econometric model of serial correlation and illiquidity in hedge fund returns,"
Journal of Financial Economics,
Elsevier, vol. 74(3), pages 529-609, December.
- Getmansky, Mila & Lo, Andrew & Makarov, Igor, 2003. "An Econometric Model of Serial Correlation and Illiquidity In Hedge Fund Returns," Working papers 4288-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Mila Getmansky & Andrew W. Lo & Igor Makarov, 2003. "An Econometric Model of Serial Correlation and Illiquidity in Hedge Fund Returns," NBER Working Papers 9571, National Bureau of Economic Research, Inc.
- repec:hal:cesptp:halshs-00349205 is not listed on IDEAS
- Burgstahler, David & Dichev, Ilia, 1997. "Earnings management to avoid earnings decreases and losses," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 99-126, December.
- Koenker,Roger, 2005.
Cambridge University Press, number 9780521608275, April.
- Bawa, Vijay S., 1978. "Safety-First, Stochastic Dominance, and Optimal Portfolio Choice," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 13(02), pages 255-271, June.
- Vytaras Brazauskas & Bruce L. Jones & Ricardas Zitikis, 2007. "Robustification and performance evaluation of empirical risk measures and other vector-valued estimators," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 175-199.
- Haley, M. Ryan & McGee, M. Kevin, 2006. "Tilting safety first and the Sharpe portfolio," Finance Research Letters, Elsevier, vol. 3(3), pages 173-180, September.
- Bruce L. Jones & Ricardas Zitikis, 2005. "Testing for the order of risk measures: an application of L-statistics in actuarial science," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 193-211.
- Elamir, Elsayed A. H. & Seheult, Allan H., 2003. "Trimmed L-moments," Computational Statistics & Data Analysis, Elsevier, vol. 43(3), pages 299-314, July.
- Kim, Woo Chang & Fabozzi, Frank J. & Cheridito, Patrick & Fox, Charles, 2014. "Controlling portfolio skewness and kurtosis without directly optimizing third and fourth moments," Economics Letters, Elsevier, vol. 122(2), pages 154-158.
- Serge Darolles & Christian Gouriéroux, 2013. "The Effects of Management and Provision Accounts on Hedge Fund Returns - Part I : The High Water Mark Scheme," Working Papers 2013-22, Centre de Recherche en Economie et Statistique.
- López-Díaz, Miguel & Sordo, Miguel A. & Suárez-Llorens, Alfonso, 2012. "On the Lp-metric between a probability distribution and its distortion," Insurance: Mathematics and Economics, Elsevier, vol. 51(2), pages 257-264.
- Darolles, Serge & Gourieroux, Christian, 2010. "Conditionally fitted Sharpe performance with an application to hedge fund rating," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 578-593, March.
- Bertrand B. Maillet & Jean-Philippe R. Médecin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.