Funds of Hedge Funds Portfolio Selection


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This paper develops a technique for fund of hedge funds to allocate capital across different fund strategies and traditional asset classes. Our adaptation of the Polynominal Goal Programming (PGP) optimization method incorporates investor preferences for higher return moments, such as skewness and kurtosism and provides computational advantages over rival methods. We show how optimal allocations depend on the interaction between strategies, as measured by covariance, co-skewness and co-kurtosis. We also demonstrate the importance of constructing "like for like" representative portfolios that reflect the investment opportunities available to different sized funds. Our empirical results reveal the importance of equity market neutral funds as volatility and kurtosis reducers, and of global macro funds as portfolio skewness enhancers.


Finance and Financial Management

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