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Information Journal Paper

Title

FUZZY MCDM APPROACH OF PORTFOLIO EVALUATION AND SELECTION

Pages

  1-16

Abstract

 There are many models in PORTFOLIO EVALUATION AND SELECTION. The first study in this area is the Markowitz mean-variance modeling 1952. Since increasing crisis in the organizational activity makes uncertainty rising, the evaluation and selection of stocks problem will consist of the important parameters. Therefore, the fuzzy sets are a powerful tool for dealing with the uncertainty caused by trade markets and the investors ‘decision making. So, in this paper, the fuzzy theory along with multi-criteria decision-making has been used for PORTFOLIO EVALUATION AND SELECTION. To this end, 12 of the 50 active companies listed in Tehran Stock Exchange were evaluated in 1393 (solar year). A result represented the 72% rate of return of the selected portfolio. Moreover, Information Services Inc. has the highest performance and Persian Bank has the weakest performance in the proposed portfolio.

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    APA: Copy

    AMIRHOSSEINI, ZAHRA, & GHOBADI, MASUMEH. (2016). FUZZY MCDM APPROACH OF PORTFOLIO EVALUATION AND SELECTION. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), 7(27), 1-16. SID. https://sid.ir/paper/197561/en

    Vancouver: Copy

    AMIRHOSSEINI ZAHRA, GHOBADI MASUMEH. FUZZY MCDM APPROACH OF PORTFOLIO EVALUATION AND SELECTION. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT)[Internet]. 2016;7(27):1-16. Available from: https://sid.ir/paper/197561/en

    IEEE: Copy

    ZAHRA AMIRHOSSEINI, and MASUMEH GHOBADI, “FUZZY MCDM APPROACH OF PORTFOLIO EVALUATION AND SELECTION,” FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), vol. 7, no. 27, pp. 1–16, 2016, [Online]. Available: https://sid.ir/paper/197561/en

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