Quantitative selection of hedge funds using data envelopment analysis
Previous studies have documented that Data Envelopment Analysis(DEA) could be a good tool to evaluate fund performance,especially the performance of hedge funds as it can incorporatemultiple risk-return attributes characterizing hedge fund's nonnormal return distribution in an unique performance score. Thepurpose of this paper is to extend the use of DEA to the contextof hedge fund selection when investors must face multi-dimensionalconstraints, each one associated to a relative importance level.Unlike previous studies which used DEA in an empirical framework,this research puts emphasis on methodological issues. I showedthat DEA can be a good tailor-made decision-making tool to assistinvestors in selecting funds that correspond the most to theirfinancial, risk-aversion, diversification and investment horizonconstraints.
|Date of creation:||Apr 2006|
|Date of revision:|
|Publication status:||Published - Presented, , 2006|
|Note:||View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00067742/en/|
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