Fuzzy Portfolio Selection Based on Mean-CVaR Models

Jian-wei Gao, Xunan Zhang, Qingzhuang Wang
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Abstract

This paper studies the portfolio selection problem under the fuzzy environment. First, we introduce the concept of CVaR of fuzzy variable, and then under this concept a fuzzy mean-CVaR model is proposed. In general it is impossible to find out the closed form solution, thus a hybrid intelligent algorithm is presented. Finally, an example is provided to examine our model.
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基于均值- cvar模型的模糊投资组合选择
本文研究了模糊环境下的投资组合选择问题。首先引入模糊变量CVaR的概念,然后在此概念下提出模糊均值-CVaR模型。针对一般情况下无法求出封闭形式解的问题,提出了一种混合智能算法。最后,给出了一个例子来检验我们的模型。
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