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Modeling and Comparison of Fuzzy and Non-Fuzzy Multi-Objective Evolution Optimization Portfolios in Tehran Stock Exchange | ||
| Journal of New Researches in Mathematics | ||
| دوره 8، شماره 38، بهمن و اسفند 2022، صفحه 39-56 اصل مقاله (435.34 K) | ||
| نوع مقاله: research paper | ||
| نویسندگان | ||
Mohammad Fallah1؛ Hadi Khajezadeh Dezfuli2؛ Hamed Nozari  1
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| 1Department of Industrial Engineering, Islamic Azad University, Central Tehran Branch | ||
| 2Graduate of PhD in Financial Management, Allameh Tabatabai University | ||
| چکیده | ||
| Selecting the optimal stock portfolio is one of the most important issues in the field of financial research, which tries to choose the optimal combination of assets in order to create maximum utility for the investor, Given that the return on securities in the real world is often vague and inaccurate, one of the most important investment challenges is uncertainty about the future. In this paper the problem of selecting and optimizing securities portfolios with different modeling goals has been solved and compared. The designed models have considered both the nature of the portfolio selection issue and the considerations considered by the shareholder in the portfolio selection. The uncertainty quality of the future return of a given portfolio is estimated using fuzzy LR numbers, while its return torques are measured using possibility theory. The most important purpose of this paper is to solve the problem and compare portfolio selection models with simultaneous optimization of two, three, and four objectives. For this purpose, the NSGA-II genetic algorithm is used and the mutation and intersection operators are designed specifically to generate possible solutions to the cardinality constraint of the problem. Finally, the efficiency and performance of the models in case of using fuzzy logic and not using it have been compared and it has been determined that the use of fuzzy logic and possibility theory leads to the formation of portfolios with higher performance and higher efficiency. | ||
| کلیدواژهها | ||
| Modeling؛ portfolio selection؛ fuzzy logic؛ multi-objective evolutionary optimization algorithm؛ genetic algorithm with faulty sorting (NSGA-II) | ||
| مراجع | ||
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[1] Huiling, W. et al., (2013). Multi-period Markowitz’s mean-variance portfolio selection with state-dependent exit probability, Economic Modeling, (36), 69-74.
[2] Dubois, D et al. (1988). Possibility theory: an approach to computerized processing of uncertainty vol. 2: New York: Plenum press.
[3] Vercher, E et al. (2015). Portfolio absolute optimization using a credibility mean-semi-deviation model, Expert Systems with Applications. (42)20, 7121–7131.
[4] Konstantinos, L et al. (2018). Examining the effect of different configuration issues of the multi-objective evolutionary algorithms on the efficient frontier formulation for the constrained portfolio optimization problem, Journal of the Operational Research Society, 69(3), 1-23.
[5] Coello, C.A.C. et al., (2007). Evolutionary Algorithms for Solving Multi-Objective Problems, NewYork: Springer Street.
[6] Coello, C.A.C, et al., Evolutionary Algorithms for Solving Multi-Objective Problems, 2nd ed., Springer, New York, US, 2007.
[7] Misra, S. K. et al. (2014). A comparative performance assessment of a set of multi-objective algorithms for constrained portfolio assets selection. Swarm and Evolutionary Computation 16, 38-51.
[8] Macedo, L.L et al., )2017(. Mean-semivariance portfolio optimization with multiobjective evolutionary algorithms and technical analysis rules. Expert Systems with Applications, 79, pp.33-43.
[9] Kumar, D. et al. (2017). Portfolio optimization using novel co-variance guided artificial bee colony algorithm, Swarm and evolutionary Computation, (33), 119-130.
[10] Anagnostopoulos, K.P. et al. (2010). A portfolio optimization model with three objectives and discrete variables. Computers & Operations Research, 37(3), 1285-1297.
[11] Chandra, S. et al., )2016(. A diversified portfolio model of adaptability. American Psychologist, 71(9), p.847.
[12] Zhang, Y et al. (2018). Portfolio selection problems with Markowitz’s mean–variance framework: a review of literature. Fuzzy Optimization and Decision Making, 17(2), 125-158.
[13] Saborido, R et al. (2016). Evolutionary multi-objective optimization portfolio algorithms for fuzzy selection, Applied Soft Computing Computing, (39), 48–63
[14] Liagkouras.K, (2018). A new three-dimensional encoding multiobjective evolutionary algorithm with application to the portfolio optimization problem, Knowledge-Based Systems.
[15] Liagkouras, K et al. (2018). Multi-period mean–variance fuzzy portfolio optimization model with transaction costs, Engineering Applications of Artificial Intelligence, 67, 260-269.
Saborido, R et al. Evolutionary Muli-Objective Optimization Algorithm for fuzzy portfolio selection, Applied Soft Computing (39)
[16] Khalilpourazary S, et al,” (2018) Multi-objective optimization of multi‑item EOQ model with partial backordering and defective batches and stochastic constraints using MOWCA and MOGWO” Operational Research.
[17] Rostami, M, et al. (2015), Higher torques in stock portfolio optimization in fuzzy environment. Quarterly Journal of Financial Engineering and Securities Management, (24) 6, 41-62.
[18] Najafi, A, et al. (2015), Dynamic optimization of investment portfolio with respect to transaction costs, Quarterly Journal of Financial Engineering and Securities Management, (6) 24, 172-135.
[19] Homayfar. S, et al. (2016), Applying Sustainable Optimization Models and Ideal Planning in Selecting a Multi-Term Investment Portfolio; Quarterly Journal of Financial Engineering and Securities Management, (7) 28, 167-153.
[20] Afshar Kazemi, M.A, et al. (2012). Selection of stock portfolio in Tehran Stock Exchange by combining data analysis method and ideal planning, Quarterly Journal of Financial Analysis of Securities Analysis. (16) 13, 49-64.
[21] Khajehzadeh Dezfuli. M. (2016) Research in Advanced Operations "Special Industrial Management Field Code 2164" PhD, Modaresan Sharif Publications
[22] Adel Azar et al., (2003) Statistics and its applications in management, Samat Publications.
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