Title :
Statistic test on fuzzy portfolio selection model
Author :
Lin, Pei-Chun ; Watada, Junzo ; Wu, Berlin
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
Abstract :
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.
Keywords :
decision making; investment; risk management; statistical distributions; statistical testing; decision making; fuzzy portfolio selection model; mean-variance model; probability distribution function; risk investment; statistic test; Computational modeling; Data models; Distribution functions; Investments; Portfolios; Probability distribution; Random variables; Optimization; Portfolio selection; fuzzy probability distributions; fuzzy statistics and data analysis;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007343