We report systematic, out-of-sample evidence on the benefits to an already well-diversified investor that may derive from further diversification into various hedge fund strategies. We investigate dynamic strategic asset allocation decisions that take into account investors' preferences, realistic transaction costs, return predictability, and the parameter uncertainty that such predictability implies. Our results suggest that not all hedge fund strategies benefit a long-term investor who is already well-diversified across stocks, government and corporate bonds, and REITs. However, when parameter uncertainty is accounted for, the best performing models offer net positive economic gains to investors with low and moderate risk aversion. Most of the realized economic value fails to result from mean-variance-type enhancements in realized performance but comes instead from an improvement in realized higher-moment properties of optimal portfolios.

Can investors benefit from hedge fund strategies? Utility-based, out-of-sample evidence

Guidolin, Massimo;
2022

Abstract

We report systematic, out-of-sample evidence on the benefits to an already well-diversified investor that may derive from further diversification into various hedge fund strategies. We investigate dynamic strategic asset allocation decisions that take into account investors' preferences, realistic transaction costs, return predictability, and the parameter uncertainty that such predictability implies. Our results suggest that not all hedge fund strategies benefit a long-term investor who is already well-diversified across stocks, government and corporate bonds, and REITs. However, when parameter uncertainty is accounted for, the best performing models offer net positive economic gains to investors with low and moderate risk aversion. Most of the realized economic value fails to result from mean-variance-type enhancements in realized performance but comes instead from an improvement in realized higher-moment properties of optimal portfolios.
2022
2022
Guidolin, Massimo; Orlov, Alexei G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11565/4057896
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