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Stock Selection into Portfolio by Fuzzy Quantitative Analysis and Fuzzy Multicriteria Decision Making

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  • Satit Yodmun
  • Wichai Witayakiattilerd

Abstract

This paper presents a stock selection approach assisted by fuzzy procedures. In this approach, stocks are classified into groups according to business types. Within each group, the stocks are screened and then ranked according to their investment weight obtained from fuzzy quantitative analysis. Groups were also ranked according to their group weight obtained from fuzzy analytic hierarchy process (FAHP) and technique for order preference by similarity to ideal solution method (TOPSIS). The overall weight for each stock was then derived from both of these weights and used for selecting a stock into the portfolio. As a demonstration, our analysis procedures were applied to a test set of data.

Suggested Citation

  • Satit Yodmun & Wichai Witayakiattilerd, 2016. "Stock Selection into Portfolio by Fuzzy Quantitative Analysis and Fuzzy Multicriteria Decision Making," Advances in Operations Research, Hindawi, vol. 2016, pages 1-14, July.
  • Handle: RePEc:hin:jnlaor:9530425
    DOI: 10.1155/2016/9530425
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    Cited by:

    1. Feifei Jin & Chang Li & Jinpei Liu & Ligang Zhou, 2021. "Distribution Linguistic Fuzzy Group Decision Making Based on Consistency and Consensus Analysis," Mathematics, MDPI, vol. 9(19), pages 1-19, October.
    2. Jichao Li & Bingfeng Ge & Jiang Jiang & Kewei Yang & Yingwu Chen, 2020. "High-end weapon equipment portfolio selection based on a heterogeneous network model," Journal of Global Optimization, Springer, vol. 78(4), pages 743-761, December.

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