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Behavioral approach in multi-period portfolio optimization using genetic algorithm | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 18، دوره 14، شماره 9، آذر 2023، صفحه 263-272 اصل مقاله (437.77 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.28809.3996 | ||
| نویسندگان | ||
| Razieh Ahmadi1؛ Adel Azar* 2؛ Gholamreza Zomorodian1 | ||
| 1Department of Financial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Management, Faculty of Economics and Management, Tarbiat Modares University,Tehran, Iran | ||
| تاریخ دریافت: 04 تیر 1401، تاریخ بازنگری: 18 مهر 1401، تاریخ پذیرش: 27 شهریور 1401 | ||
| چکیده | ||
| This paper discusses a multi-period portfolio optimization problem by considering a conditional value-at-risk (CVaR) constraint Based on prospect theory, which considers the loss-averse utility, the transaction cost and the lower bound and upper bound investment in each asset. A genetic algorithm is proposed to solve the portfolio model. The results based on the average optimal ultimate wealth and Sharp ratio criteria showed that loss-averse investors tend to concentrate most of their wealth and perform better than rational investors. The impact of CVaR on investment performance was identified. When the market falls, investors with higher risk aversion avoid extreme losses and obtain more gains. | ||
| کلیدواژه‌ها | ||
| Loss aversion؛ Multi-period optimization؛ Conditional value at risk؛ Genetic algorithm optimization | ||
| مراجع | ||
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