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Can Investors Benefit from Hedge Fund Strategies? Utility-Based, Out-of-Sample Evidence

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  • Massimo Guidolin

    (University of Liverpool Management School, Liverpool, UK2BAFFI CAREFIN Centre, Bocconi University, Milan, Italy)

  • Alexei G. Orlov

    (U.S. Commodities Futures Trading Commission, Washington, DC, USA)

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.

Suggested Citation

  • Massimo Guidolin & Alexei G. Orlov, 2022. "Can Investors Benefit from Hedge Fund Strategies? Utility-Based, Out-of-Sample Evidence," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 1-61, September.
  • Handle: RePEc:wsi:qjfxxx:v:12:y:2022:i:03:n:s2010139222500070
    DOI: 10.1142/S2010139222500070
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    More about this item

    Keywords

    Strategic asset allocation; hedge fund strategies; predictive regressions; out-of-sample performance; certainty equivalent return;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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