DocumentCode
3116926
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
fYear
2011
fDate
27-30 June 2011
Firstpage
1103
Lastpage
1110
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location
Taipei
ISSN
1098-7584
Print_ISBN
978-1-4244-7315-1
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2011.6007343
Filename
6007343
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