• 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