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Article type: Research Article
Authors: Xiaolian, Liao | Guohua, Chen; *
Affiliations: College of Mathematics and Finance, Hunan University of Humanities, Science and Technology, Loudi, China
Correspondence: [*] Corresponding author. Chen Guohua. Tel.: +86 15173813065; E-mail: hnldcgh@163.com.
Abstract: A portfolio selection model with return as triangular intuitionistic fuzzy number is developed in this study to assess and select portfolios on China Stock Exchange. Although the portfolio selection has been widely investigated, and most studies have regarded return and risk as the main decisive criteria, there are many uncertainties in the financial market, such as social, political and human psychological factors, which makes it difficult for us to describe the risks in line with empirical evidence. To fill this gap, first, a literature review was conducted to clarify the current situation and shortcomings of portfolio selection. Second, the triangular intuitionistic fuzzy number was used to fuzzify the coefficients of the objective function and the constraints in the portfolio model. Third, the triangular intuitionistic fuzzy number model was transformed into a linear programming model by using the selected exact ranking function, and the model was solved by MATLAB. Finally, the historical monthly returns of 10 stocks in China’s Stock Exchange from December 2017 to November 2020, lasting 36 months, were selected to demonstrate the model. The results indicate that the portfolio selection model with triangular intuitionistic fuzzy number can better meet the uncertainty of the real securities market, and more reasonable investment decision guidance can be provided for investors. Besides, the limitations of this study are pointed out, and implications and directions for future research are discussed.
Keywords: Portfolio selection model, rate of return, triangular intuitionistic fuzzy number
DOI: 10.3233/JIFS-213123
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3133-3139, 2022
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