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The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including those from the School of Psychological Sciences & Health - but also papers by researchers based within the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

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Assessing the impact of heteroskedasticity for evaluating hedge fund performance

Marshall, Andrew and Tang, Leilei (2011) Assessing the impact of heteroskedasticity for evaluating hedge fund performance. International Review of Financial Analysis, 20 (1). pp. 12-19. ISSN 1057-5219

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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.