Uncertain portfolio selection model considering transaction costs and minimum transaction lots requirement

被引:0
|
作者
Zhang, Chao [1 ]
Hu, Rui [2 ]
Wei, Lirong [3 ]
机构
[1] Zhejiang Univ Finance & Econ, Sch Finance, Hangzhou, Zhejiang, Peoples R China
[2] Beijing City Univ, Beijing 100083, Peoples R China
[3] Univ Sci & Technol Beijing, Donglinks Sch Econ & Management, Beijing, Peoples R China
关键词
Portfolio selection; mean-variance model; uncertain programing; genetic algorithm; uncertain variable; MEAN-VARIANCE MODEL; RETURNS SUBJECT; RISK; OPTIMIZATION; CVAR;
D O I
10.3233/JIFS-169218
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Due to the complexity of real security market, sometimes the future security returns can only be valued based on experts' estimations. Meanwhile, there are transaction costs and minimum transaction lots requirement in the real transaction process in the trading market. This paper discusses the portfolio selection problem in such a circumstance. Security returns are considered as uncertain variables, and a new mean-variance model with transaction costs and minimum transaction lots is established. In addition, the impact of minimum transaction lots requirement and transaction costs on optimal portfolio is discussed and a genetic algorithm for solving the optimization model is given. As an illustration, a numerical example is provided.
引用
收藏
页码:4543 / 4554
页数:12
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