Applying a global optimisation algorithm to Fund of Hedge Funds portfolio optimisation

Minsky, B, Obradovic, M, Tang, Q and Thapar, R (2009) Applying a global optimisation algorithm to Fund of Hedge Funds portfolio optimisation. Unset. Unset.

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Abstract

Portfolio optimisation for a Fund of Hedge Funds (¿FoHF¿) has to address the asymmetric, non-Gaussian nature of the underlying returns distributions. Furthermore, the objective functions and constraints are not necessarily convex or even smooth. Therefore traditional portfolio optimisation methods such as mean-variance optimisation are not appropriate for such problems and global search optimisation algorithms could serve better to address such problems. Also, in implementing such an approach the goal is to incorporate information as to the future expected outcomes to determine the optimised portfolio rather than optimise a portfolio on historic performance. In this paper, we consider the suitability of global search optimisation algorithms applied to FoHF portfolios, and using one of these algorithms to construct an optimal portfolio of investable hedge fund indices given forecast views of the future and our confidence in such views.

Item Type: Reports and working papers (Unset)
Additional Information: MPRA Paper number 17099 available at http://mpra.ub.uni-muenchen.de/17099/
Schools and Departments: School of Mathematical and Physical Sciences > Mathematics
Depositing User: Miodrag Obradovic
Date Deposited: 06 Feb 2012 21:09
Last Modified: 05 Jun 2013 09:14
URI: http://sro.sussex.ac.uk/id/eprint/29794
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