Evaluation and comparison of portfolio optimization with the degree of stock risk adjustment based on the performance measurement model based on the hybrid meta-heuristic algorithm and gray wolf optimization algorithm

The investment portfolio optimization process including allocation of assets allocated capital percentage to each asset, risk management, and creating a new portfolio with a certain level of risk and return based on investors’ expectations has always been an attractive and controversial issue in the field of financial decision making. The objective of this research is to evaluate and compare portfolio optimization with the degree of stock risk adjustment based on the performance measurement model based on the hybrid meta-heuristic algorithm and gray wolf optimization algorithm. The statistical population of this research is the research statistical population which is all the listed companies in Tehran Stock Exchange for 7 years from 2014 to 2020. Based on the limitations imposed on the statistical population, the active companies in Tehran Stock Exchange have been investigated as the research sample. The obtained results from the tests show that a hybrid metaheuristic algorithm improves the adjusted risk.