Portfolio selection problems with Markowitz’s mean–variance framework: a review of literature

被引:1
作者
Yuanyuan Zhang
Xiang Li
Sini Guo
机构
[1] Beijing University of Chemical Technology,School of Economics and Management
来源
Fuzzy Optimization and Decision Making | 2018年 / 17卷
关键词
Portfolio selection; Mean–variance model; Dynamic optimization; Fuzzy optimization; Robust optimization;
D O I
暂无
中图分类号
学科分类号
摘要
Since the pioneering work of Harry Markowitz, mean–variance portfolio selection model has been widely used in both theoretical and empirical studies, which maximizes the investment return under certain risk level or minimizes the investment risk under certain return level. In this paper, we review several variations or generalizations that substantially improve the performance of Markowitz’s mean–variance model, including dynamic portfolio optimization, portfolio optimization with practical factors, robust portfolio optimization and fuzzy portfolio optimization. The review provides a useful reference to handle portfolio selection problems for both researchers and practitioners. Some summaries about the current studies and future research directions are presented at the end of this paper.
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页码:125 / 158
页数:33
相关论文
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