Portfolio Optimization Under a Minimax Rule
AbstractThis paper provides a new portfolio selection rule. The objective is to minimize the maximum individual risk and we use an l \infty function as the risk measure. We provide an explicit analytical solution for the model and are thus able to plot the entire efficient frontier. Our selection rule is very conservative. One of the features of the solution is that it does not explicitly involve the covariance of the asset returns.
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Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 46 (2000)
Issue (Month): 7 (July)
portfolio selection; risk averse measures; bicriteria piecewise linear program; efficient frontier; kuhn-tucker conditions;
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- Deng, Xiao-Tie & Li, Zhong-Fei & Wang, Shou-Yang, 2005. "A minimax portfolio selection strategy with equilibrium," European Journal of Operational Research, Elsevier, vol. 166(1), pages 278-292, October.
- W. Hare & J. Nutini, 2013. "A derivative-free approximate gradient sampling algorithm for finite minimax problems," Computational Optimization and Applications, Springer, vol. 56(1), pages 1-38, September.
- Chen, Zhiping & Wang, Yi, 2008. "Two-sided coherent risk measures and their application in realistic portfolio optimization," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2667-2673, December.
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