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

Yuanyuan Zhang, Xiang Li*, Sini Guo

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

85 引用 (Scopus)

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.

源语言英语
页(从-至)125-158
页数34
期刊Fuzzy Optimization and Decision Making
17
2
DOI
出版状态已出版 - 1 6月 2018
已对外发布

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