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Extending Black-Litterman Analysis Beyond the Mean-Variance Framework

This paper introduces a suitable extension of the Black-Litterman Bayesian approach to portfolio construction in the presence of non-trivial preferences about higher moments of asset return distributions. It also presents an application to active style allocation decisions in the hedge fund universe. Overall the results suggest that significant value can be added in a hedge fund portfolio through the systematic implementation of active style allocation decisions provided that a sound investment process is implemented that accounts for both non-normality and parameter uncertainty in hedge fund return distributions. A revisited version of this paper was published in the Summer 2007 issue of the Journal of Portfolio Management.

Author(s):

Lionel Martellini, Volker Ziemann

Summary:

This paper introduces a suitable extension of the Black-Litterman Bayesian approach to portfolio construction in the presence of non-trivial preferences about higher moments of asset return distributions. It also presents an application to active style allocation decisions in the hedge fund universe. Overall the results suggest that significant value can be added in a hedge fund portfolio through the systematic implementation of active style allocation decisions provided that a sound investment process is implemented that accounts for both non-normality and parameter uncertainty in hedge fund return distributions. A revisited version of this paper was published in the Summer 2007 issue of the Journal of Portfolio Management.

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Type : Working paper
Date : 10/01/2007
Keywords :

Alternative Investments