Optimum Portfolio Selection using a Hybrid Genetic Algorithm and Analytic Hierarchy Process: An Application to Amman Stock Exchange

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C: FINANCE4S27I

Optimum Portfolio Selection using a Hybrid Genetic Algorithm and Analytic Hierarchy Process: An Application to Amman Stock Exchange

Prof. Said Sami Al hallaq
Prof. Said Sami Al hallaq
Mohamad Mahmoud Ajlouni
Mohamad Mahmoud Ajlouni
Mahmoud Faheem Al Saadi
Mahmoud Faheem Al Saadi
DOI

Abstract

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.

Optimum Portfolio Selection using a Hybrid Genetic Algorithm and Analytic Hierarchy Process: An Application to Amman Stock Exchange

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.

Prof. Said Sami Al hallaq
Prof. Said Sami Al hallaq
Mohamad Mahmoud Ajlouni
Mohamad Mahmoud Ajlouni
Mahmoud Faheem Al Saadi
Mahmoud Faheem Al Saadi

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prof._said_sami_al_hallaq. 2021. “. Global Journal of Management and Business Research – C: Finance GJMBR-C Volume 21 (GJMBR Volume 21 Issue C1): .

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Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Issue Cover
GJMBR Volume 21 Issue C1
Pg. 41- 53
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GJMBR-C Classification: JEL Code: F65
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Optimum Portfolio Selection using a Hybrid Genetic Algorithm and Analytic Hierarchy Process: An Application to Amman Stock Exchange

Prof. Said Sami Al hallaq
Prof. Said Sami Al hallaq
Mohamad Mahmoud Ajlouni
Mohamad Mahmoud Ajlouni
Mahmoud Faheem Al Saadi
Mahmoud Faheem Al Saadi

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