A Mean-Variance Hybrid-Entropy Model for Portfolio Selection with Fuzzy Returns

Entropy

Rongxi Zhou²  Yu Zhan²  Ru Cai²  Guanqun Tong¹ 

[1] School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China;

关键词: portfolio selection;    fuzzy returns;    hybrid entropy;    multi-objective genetic algorithm;    Markov prediction;   

DOI  :  10.3390/e17053319

来源: mdpi

【 摘 要 】

In this paper, we define the portfolio return as fuzzy average yield and risk as hybrid-entropy and variance to deal with the portfolio selection problem with both random uncertainty and fuzzy uncertainty, and propose a mean-variance hybrid-entropy model (MVHEM). A multi-objective genetic algorithm named Non-dominated Sorting Genetic Algorithm II (NSGA-II) is introduced to solve the model. We make empirical comparisons by using the data from the Shanghai and Shenzhen stock exchanges in China. The results show that the MVHEM generally performs better than the traditional portfolio selection models.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland