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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-52275

Ledoit, Oliver; Wolf, Michael (2008). Robust Performance Hypothesis Testing with the Sharpe Ratio. Working paper series / Institute for Empirical Research in Economics No. 320, University of Zurich.

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Abstract

Applied researchers often test for the difference of the Sharpe ratios of two investmentnstrategies. A very popular tool to this end is the test of Jobson and Korkie (1981), whichnhas been corrected by Memmel (2003). Unfortunately, this test is not valid when returnsnhave tails heavier than the normal distribution or are of time series nature. Instead, wenpropose the use of robust inference methods. In particular, we suggest to construct a studentized time series bootstrap confidence interval for the difference of the Sharpe ratios and to declare the two ratios different if zero is not contained in the obtained interval. This approach has the advantage that one can simply resample from the observed data as opposed to some null-restricted data. A simulation study demonstrates the improved finite sample performance compared to existing methods. In addition, two applications to real data are provided.

Item Type:Working Paper
Communities & Collections:03 Faculty of Economics > Department of Economics
Working Paper Series > Institute for Empirical Research in Economics (former)
DDC:330 Economics
Language:English
Date:January 2008
Deposited On:29 Nov 2011 23:47
Last Modified:09 Jul 2012 07:03
Series Name:Working paper series / Institute for Empirical Research in Economics
ISSN:1424-0459
Official URL:http://www.econ.uzh.ch/wp.html

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