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Asset Allocation through Grey Wolf Optimization: A Case of KSE-30 Index


Article Information

Title: Asset Allocation through Grey Wolf Optimization: A Case of KSE-30 Index

Authors: Javed Iqbal, Abid Mehmood, Aboubakar Mirza, Abdul Khaliq

Journal: Pakistan Journal of Humanities and Social Sciences

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30

Publisher: International Research Alliance For Sustainable Development-IRSAD (Private) Limited

Country: Pakistan

Year: 2023

Volume: 11

Issue: 1

Language: English

DOI: 10.52131/pjhss.2023.1101.0383

Keywords: Market capitalizationAsset AllocationGrey Wolf Optimization KSE-30 Index

Categories

Abstract

This article is an effort to aid investors by drawing attention to select investment items. Grey Wolf Optimization (GWO), TOPSIS with Eigenvector, Market Capitalization, and the Equal Weighted Technique are the four main methods discussed in this paper. This study uses the KSE-30 Index as its sample size; however, because to a lack of data, only 26 businesses are chosen for analysis using 10 criteria. All four methods are implemented and weights are determined based on these criteria. These weights are then utilized in conjunction with MATLAB's in-built tools to construct a portfolio. Based on its ability to generate the greatest possible portfolio, GWO appears to be a powerful resource for affluent investors. Equal-weighted portfolios performed the worst, followed by the Eigenvector-TOPSIS technique, then Market Capitalization.


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