Mean-Expectile Portfolio Selection

被引:0
作者
Hongcan Lin
David Saunders
Chengguo Weng
机构
[1] University of Waterloo,Department of Statistics and Actuarial Science
来源
Applied Mathematics & Optimization | 2021年 / 83卷
关键词
Expectiles; Portfolio selection; Expectiles; Efficient frontier; Performance measures; Omega;
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学科分类号
摘要
We consider a mean-expectile portfolio selection problem in a continuous-time diffusion model. We exploit the close relationship between expectiles and the Omega performance measure to reformulate the problem as the maximization of the Omega measure, and show the equivalence between the two problems. After showing that the solution for the mean-expectile problem is not attainable but that the value function is finite, we modify the problem by introducing a bound on terminal wealth and obtain the solution by Lagrangian duality. The global expectile minimizing portfolio and efficient frontier with a terminal wealth bound are also discussed.
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页码:1585 / 1612
页数:27
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