Mutual fund performance: false discoveries, bias, and power
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Volume (Year): 7 (2011)
Issue (Month): 2 (May)
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- 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).
- 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, 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.
- Bradford Cornell & Jakša Cvitanić & Levon Goukasian, 2010. "Beliefs regarding fundamental value and optimal investing," Annals of Finance, Springer, vol. 6(1), pages 83-105, January.
- Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
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- Matthew Spiegel & Harry Mamaysky & Hong Zhang, 2005. "Improved Forecasting of Mutual Fund Alphas and Betas," Yale School of Management Working Papers amz2361, Yale School of Management, revised 01 Mar 2006.
- John D. Storey & Jonathan E. Taylor & David Siegmund, 2004. "Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(1), pages 187-205.
- Joseph Romano & Azeem Shaikh & Michael Wolf, 2008. "Control of the false discovery rate under dependence using the bootstrap and subsampling," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(3), pages 417-442, November.
- Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2008. "Control of the False Discovery Rate under Dependence using the Bootstrap and Subsampling," IEW - Working Papers 337, Institute for Empirical Research in Economics - University of Zurich.
- Romano, Joseph P. & Shaikh, Azeem M. & Wolf, Michael, 2008. "Formalized Data Snooping Based On Generalized Error Rates," Econometric Theory, Cambridge University Press, vol. 24(02), pages 404-447, April.
- Joseph P & Romano & Azeem M. Shaikh & Michael Wolf, 2005. "Formalized Data Snooping Based on Generalized Error Rates," IEW - Working Papers 259, Institute for Empirical Research in Economics - University of Zurich.
- Jones, Christopher S. & Shanken, Jay, 2005. "Mutual fund performance with learning across funds," Journal of Financial Economics, Elsevier, vol. 78(3), pages 507-552, December.
- Christopher S. Jones & Jay Shanken, 2002. "Mutual Fund Performance with Learning Across Funds," NBER Working Papers 9392, National Bureau of Economic Research, Inc.
- repec:ebl:ecbull:v:7:y:2008:i:10:p:1-9 is not listed on IDEAS
- Jorge Sainz & Pilar Grau & Luis Miguel Doncel & Javier Otamendi, 2008. "An evaluation on the true statistical relevance of Jensen's alpha trough simulation: An application for Germany," Economics Bulletin, AccessEcon, vol. 7(10), pages 1-9.
- Efron B. & Tibshirani R. & Storey J.D. & Tusher V., 2001. "Empirical Bayes Analysis of a Microarray Experiment," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1151-1160, December.
- Halbert White, 2000. "A Reality Check for Data Snooping," Econometrica, Econometric Society, vol. 68(5), pages 1097-1126, September.
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- 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.
- Efron, Bradley, 2007. "Correlation and Large-Scale Simultaneous Significance Testing," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 93-103, March. Full references (including those not matched with items on IDEAS)
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