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A hybrid multiple criteria decision-making model for investment decision making

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  • Li-Chang Hsu

Abstract

Investments are accompanied by risks. How investors choose the right investment tools to assist in the selection of investment targets is a topic worth exploring. Therefore, this study aimed to develop an investment decision-making process to deal with this issue. Firstly, we proposed a globalized modified grey relational analysis to select the representative indicators including the financial indicators and risk measurement indicators. Then we combined financial and risk evaluation indicators, and divided companies into low, moderate and high-risk groups through the grey clustering analysis. Finally, Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) combined with the grey entropy weighting method was applied to business performance evaluation and sorting of each grouping. In order to verify this study, a combination of 21 financial ratios and four risk indicators was utilized in order to verify the evaluation and decision-making process in the operating performance of 62 listed opto-electronics companies in Taiwan. The results of ranking the operating performance for each group can be made available to company managers as a reference in order to enhance competitiveness and business performance. The results can also be used as the basis for decision-making to aid investors who are facing many investment portfolios.

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  • Li-Chang Hsu, 2014. "A hybrid multiple criteria decision-making model for investment decision making," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(3), pages 509-529, June.
    • Handle: RePEc:taf:jbemgt:v:15:y:2014:i:3:p:509-529
    DOI: 10.3846/16111699.2012.722563
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    References listed on IDEAS

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    Cited by:

    1. Chia-Chen Yang & Shang-Ling Ou & Li-Chang Hsu, 2019. "A Hybrid Multi-Criteria Decision-Making Model for Evaluating Companies’ Green Credit Rating," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    2. Vuković Marija & Pivac Snježana & Babić Zoran, 2020. "Comparative analysis of stock selection using a hybrid MCDM approach and modern portfolio theory," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(2), pages 58-68, December.
    3. Jamal Ouenniche & Kais Bouslah & Blanca Perez-Gladish & Bing Xu, 2021. "A new VIKOR-based in-sample-out-of-sample classifier with application in bankruptcy prediction," Annals of Operations Research, Springer, vol. 296(1), pages 495-512, January.

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