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Robust Portfolio Optimisation with Multiple Experts

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  • Frank Lutgens
  • Peter C. Schotman

Abstract

We consider mean-variance portfolio choice of a robust investor. The investor receives advice from J experts, each with a different prior for expected returns and risk, and follows a min-max portfolio strategy. The robust investor endogenously combines the experts' estimates. When experts agree on the main return generating factors, the investor relies on the advice of the expert with the strongest prior. Dispersed advice leads to averaging of the alternative estimates. The robust investor is likely to outperform alternative strategies. The theoretical analysis is supported by numerical simulations for the 25 Fama-French portfolios and for 81 European country and value portfolios. Copyright 2010, Oxford University Press.

Suggested Citation

  • Frank Lutgens & Peter C. Schotman, 2010. "Robust Portfolio Optimisation with Multiple Experts," Review of Finance, European Finance Association, vol. 14(2), pages 343-383.
    • Handle: RePEc:oup:revfin:v:14:y:2010:i:2:p:343-383
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    File URL: http://hdl.handle.net/10.1093/rof/rfn028
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    Citations

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    Cited by:

    1. I-Chen Lu & Kai-Hong Tee & Baibing Li, 2019. "Asset allocation with multiple analysts’ views: a robust approach," Journal of Asset Management, Palgrave Macmillan, vol. 20(3), pages 215-228, May.
    2. Chiaki Hara & Toshiki Honda, 2014. "Asset Demand and Ambiguity Aversion," KIER Working Papers 911, Kyoto University, Institute of Economic Research.
    3. Alireza Ghahtarani & Ahmed Saif & Alireza Ghasemi, 2021. "Robust Portfolio Selection Problems: A Comprehensive Review," Papers 2103.13806, arXiv.org, revised Jan 2022.
    4. Jang Ho Kim & Woo Chang Kim & Frank J. Fabozzi, 2018. "Recent advancements in robust optimization for investment management," Annals of Operations Research, Springer, vol. 266(1), pages 183-198, July.
    5. Alireza Ghahtarani & Ahmed Saif & Alireza Ghasemi, 2022. "Robust portfolio selection problems: a comprehensive review," Operational Research, Springer, vol. 22(4), pages 3203-3264, September.
    6. Pflug, Georg Ch. & Pichler, Alois & Wozabal, David, 2012. "The 1/N investment strategy is optimal under high model ambiguity," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 410-417.

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