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Hedge funds and optimal asset allocation: Bayesian expectations and spanning tests

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  • Wolfgang Bessler
  • Julian Holler
  • Philipp Kurmann

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  • Wolfgang Bessler & Julian Holler & Philipp Kurmann, 2012. "Hedge funds and optimal asset allocation: Bayesian expectations and spanning tests," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 109-141, March.
    • Handle: RePEc:kap:fmktpm:v:26:y:2012:i:1:p:109-141
    DOI: 10.1007/s11408-011-0179-5
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    Cited by:

    1. Bessler, Wolfgang & Wolff, Dominik, 2015. "Do commodities add value in multi-asset portfolios? An out-of-sample analysis for different investment strategies," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 1-20.
    2. Gilles Boevi Koumou, 2020. "Diversification and portfolio theory: a review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 267-312, September.
    3. Wolff, Dominik & Bessler, Wolfgang & Opfer, Heiko, 2012. "Multi-Asset Portfolio Optimization and Out-of-Sample Performance: An Evaluation of Black-Litterman, Mean Variance and Naïve Diversification Approaches," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62020, Verein für Socialpolitik / German Economic Association.
    4. Gueorgui Konstantinov, 2016. "Capturing short-term and long-term alpha of global bond portfolios: evidence from EUR-investors’ perspective," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(3), pages 337-365, August.

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    More about this item

    Keywords

    Hedge funds; Asset allocation; Bayesian statistics; G11; G23;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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