Statistic Test on Fuzzy Portfolio Selection Model

被引:0
作者
Lin, Pei-Chun [1 ]
Watada, Junzo [1 ]
Wu, Berlin [2 ]
机构
[1] Waseda Univ, Grad Sch Informat Prod & Syst, Kitakyushu, Fukuoka, Japan
[2] Natl Chengchi Univ, Dept Mat Sci, Taipei, Taiwan
来源
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) | 2011年
关键词
Portfolio selection; Optimization; fuzzy probability distributions; fuzzy statistics and data analysis; POSSIBILITY DISTRIBUTIONS; ANALYTIC DERIVATION; FRONTIER; LOGIC;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Markowitz's mean-variance model is based on probability distribution functions which have known or were assumed as some kinds of probability distribution functions. When our data are vague, we can't know the underlying distribution functions. The objective of our research was to develop a method of decision making to solve portfolio selection model by statistic test. We used central point and radius to determine the fuzzy portfolio selection model and statistic test. Empirical studies were presented to illustrate the risk of fuzzy portfolio selection model with interval values. We can conclude that it is more explicit to know the risk of portfolio selection model. According to statistic test, we can get a stable expected return and low risk investment in different choose K.
引用
收藏
页码:1103 / 1110
页数:8
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