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The aim of this study is to investigate the ability of a hybrid genetic algorithm (HGA) and analytic hierarchy process (AHP) in selecting the optimum portfolio. This of course, helps investors to decide the most appropriate investment alternatives. For that purpose, the study creates portfolios using daily returns of the companies listed in Amman Stock Exchange, for the period from January 1, 2015 to December 31, 2015. The results show that HGA can identify portfolios that are in the efficient frontier.HGA has more advantages than disadvantages for the portfolio selection cases in which the scale of the problem or the nonlinear constraints cannot be solved by linear or quadratic models. In addition, the results reveal that AHP can select the optimum portfolio among the portfolios obtained by HGA.
Prof. Said Sami Al hallaq, Mohamad Mahmoud Ajlouni, Mahmoud Faheem Al Saadi. 2021. "Optimum Portfolio Selection using a Hybrid Genetic Algorithm and Analytic Hierarchy Process: An Application to Amman Stock Exchange". Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 21 (GJMBR Volume 21 Issue C1).
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
v1.2
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Total Score: 150
Country: Unknown
Subject: Global Journal of Management and Business Research
Authors: Prof. Said Sami Al hallaq, Mohamad Mahmoud Ajlouni, Mahmoud Faheem Al Saadi (PhD/Dr. count: 0)
View Count (all-time): 276
Total Views (Real + Logic): 500
Total Downloads (simulated): 45
Publish Date: 2021 07, Thu
Monthly Totals (Real + Logic):
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