Multi-objective possibility model for selecting the optimal stock portfolio

محورهای موضوعی : Financial Engineering

Abdolmajid Abdolbaghi Ataabadi ¹ (management, Faculty of Industrial Engineering and Management , shahrood university of technology)
Alireza Nazemi ² (Department of Mathematical Sciences, Shahrood University of Technology, Shahrood, Semnan, Iran)
Masoumeh Saki ³ (Department of Mathematical Sciences, Shahrood University of Technology, Shahrood, Semnan, Iran)

تاریخ دریافت : 1400/11/30 تاریخ پذیرش : 1401/05/03 تاریخ انتشار : 1402/02/11

کلید واژه: Mean-variance model, Objective functions, Possibility space, Optimal portfolio,

چکیده مقاله :

In this paper, we use fuzzy numbers and possibility theory to model possibility. The purpose of this work is to determine the optimal investment model based on the neural network method for fuzzy LR, trapezoidal and triangular numbers in an optimal portfolio. It is listed on the Tehran Stock Exchange to maximize "returns" and reduce "risk" to find the optimal portfolio. Therefore, to achieve this goal, the problem of multi-objective nonlinear programming is addressed. Also, by substituting the mean-variance model and the standard mean deviation instead of the Markowitz mean-variance model, the selection of the optimal portfolio in the possible space is examined. Finally, after calculating the model of the possibility of fuzzy numbers, we reach the optimal stock portfolio, which can be used to set the stock portfolio that has the highest returns and the lowest risk.

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