Statistic test on fuzzy portfolio selection model

Pei Chun Lin*, Junzo Watada, Berlin Wu

*この研究の対応する著者

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルIEEE International Conference on Fuzzy Systems
    ページ1103-1110
    ページ数8
    DOI
    出版ステータスPublished - 2011
    イベント2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei
    継続期間: 2011 6月 272011 6月 30

    Other

    Other2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
    CityTaipei
    Period11/6/2711/6/30

    ASJC Scopus subject areas

    • ソフトウェア
    • 人工知能
    • 応用数学
    • 理論的コンピュータサイエンス

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