• DocumentCode
    2570511
  • Title

    Multiobjective random fuzzy portfolio selection problems based on CAPM

  • Author

    Hasuike, T. ; Katagiri, H. ; Ishii, H.

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Osaka, Japan
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    1316
  • Lastpage
    1321
  • Abstract
    Many researchers have proposed portfolio models based on the stochastic and fuzzy approaches until now, and there are some models considering both random and ambiguous conditions, particularly using fuzzy random or random fuzzy variables. However, few studies with multiobjective random fuzzy models for the portfolio selection problems have been performed. Therefore, a multiobjective random fuzzy portfolio selection problem based on CAPM, which is one of the most standard factor models, is proposed. In the sense of mathematical programming, our proposed problems are not well-defined problems due to randomness and fuzziness. Therefore, setting some criterions and introducing chance constrains, main problems are transformed into deterministic programming problems. Finally, we construct a solution method to obtain a global optimal solution of the problem.
  • Keywords
    deterministic algorithms; fuzzy set theory; investment; mathematical programming; pricing; CAPM; capital asset pricing model; deterministic programming problems; mathematical programming; multiobjective random fuzzy portfolio selection problems; standard factor models; stochastic approaches; Cybernetics; Fuzzy systems; Gaussian distribution; Information science; Investments; Mathematical model; Mathematical programming; Portfolios; Pricing; Uncertainty; CAPM; deterministic equivalent transformation; portfolio selection; random fuzzy programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346239
  • Filename
    5346239