Possibilistic mean-variance models and efficient frontiers for portfolio selection problem

被引:97
作者
Zhang, Wei-Guo [1 ]
Wang, Ying-Luo
Chen, Zhi-Ping
Nie, Zan-Kan
机构
[1] S China Univ Technol, Sch Business Adm, Guangzhou 510641, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Management, Xian 710049, Shaanxi, Peoples R China
[3] Xi An Jiao Tong Univ, Fac Sci, Xian 710049, Shaanxi, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
possibility theory; possibilistic mean; possibilistic variance; portfolio selection; optimization; CONSTRAINTS;
D O I
10.1016/j.ins.2007.01.030
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, it is assumed that the rates of return on assets can be expressed by possibility distributions rather than probability distributions. We propose two kinds of portfolio selection models based on lower and upper possibilistic means and possibilistic variances, respectively, and introduce the notions of lower and upper possibilistic efficient portfolios. We also present an algorithm which can derive the explicit expression of the possibilistic efficient frontier for the possibilistic mean-variance portfolio selection problem dealing with lower bounds on asset holdings. (C) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:2787 / 2801
页数:15
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