The Statistical Properties of Hedge Fund Index Returns
Abstracthe monthly return distributions of many hedge fund indices exhibit highly unusual skewness and kurtosis properties as well as first-order serial correlation. This has important consequences for investors. We demonstrate that although hedge fund indices are highly attractive in mean-variance terms, this is much less the case when skewness, kurtosis and autocorrelation are taken into account. Sharpe Ratios will substantially overestimate the true risk-return performance of (portfolios containing) hedge funds. Similarly, mean-variance portfolio analysis will over-allocate to hedge funds and overestimate the attainable benefits from including hedge funds in an investment portfolio. We also find substantial differences between indices that aim to cover the same type of strategy. Investors’ perceptions of hedge fund performance and value added will therefore strongly depend on the indices used.
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Bibliographic InfoPaper provided by Henley Business School, Reading University in its series ICMA Centre Discussion Papers in Finance with number icma-dp2001-09.
Length: 33 pages
Date of creation: Nov 2001
Date of revision:
Publication status: Published in Journal of Alternative Investments 5:2, 26-44
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Web page: http://www.henley.reading.ac.uk/
More information through EDIRC
Hedge fund; hedge fund index; skewness; kurtosis; autocorrelation; sharpe ratio; mean-variance analysis;
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