Optimization of Network-Based Matrix Investment Portfolio and Comparison with Fuzzy Neural Combination Pattern and Genetic Algorithm(ANFIS)

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Sheidaeinarmighi ALI; RAHNAMAY ROODPOSHTI FRAYDOON; RADFAR REZA

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Title

Optimization of Network-Based Matrix Investment Portfolio and Comparison with Fuzzy Neural Combination Pattern and Genetic Algorithm(ANFIS)

Author(s)

Sheidaeinarmighi ALI | RAHNAMAY ROODPOSHTI FRAYDOON | RADFAR REZA | Issue Writer Certificate

Keywords

Stock portfolio optimizationQ1

Artificial Neural NetworksQ1

Fuzzy LogicQ2

Genetic algorithmQ1

adaptive fuzzy neural inference systemQ1

Abstract

Researchers have been researching portfolio optimization issues for several years. One of the main issues is to determine the optimization method, which is to form an optimal investment portfolio, ie to minimize investment risk and maximize investment profit. The aim of this study is to investigate the strategic capability of network matrix and fuzzy genetic neural model (ANFIS) in optimizing the investment portfolio among companies on the Tehran Stock Exchange. Grouping stocks by network matrix based on new variables including aggressive, indifferent and defensive stocks provided by Roodpashti (2009) and traditional variables including growth, growth-value and value stocks and classification of companies based on their market value and use. From the law of quarters and finally their weighting is considered in proportion to the return of that share. The design and presentation of a Stock portfolio optimization model using adaptive fuzzy neural inference system and its combination with Genetic algorithm (ANFIS) in which two different categories of technical and fundamental variables are used as model inputs. Research outputs show that these systems have the necessary ability to optimize the stock portfolio. Therefore, a combined model of neural networks and fuzzy reasoning theory with Genetic algorithm has been used to weight the factors affecting Stock portfolio optimization in the 7 years leading up to 1398.

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APA: Copy

Sheidaeinarmighi, ALI, RAHNAMAY ROODPOSHTI, FRAYDOON, & RADFAR, REZA. (2021). Optimization of Network-Based Matrix Investment Portfolio and Comparison with Fuzzy Neural Combination Pattern and Genetic Algorithm(ANFIS). INVESTMENT KNOWLEDGE, 9(36 ), 293-315. SID. https://sid.ir/paper/390744/en

Vancouver: Copy

Sheidaeinarmighi ALI, RAHNAMAY ROODPOSHTI FRAYDOON, RADFAR REZA. Optimization of Network-Based Matrix Investment Portfolio and Comparison with Fuzzy Neural Combination Pattern and Genetic Algorithm(ANFIS). INVESTMENT KNOWLEDGE[Internet]. 2021;9(36 ):293-315. Available from: https://sid.ir/paper/390744/en

IEEE: Copy

ALI Sheidaeinarmighi, FRAYDOON RAHNAMAY ROODPOSHTI, and REZA RADFAR, “Optimization of Network-Based Matrix Investment Portfolio and Comparison with Fuzzy Neural Combination Pattern and Genetic Algorithm(ANFIS),” INVESTMENT KNOWLEDGE, vol. 9, no. 36 , pp. 293–315, 2021, [Online]. Available: https://sid.ir/paper/390744/en

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