Asset Allocation through Grey Wolf Optimization: A Case of KSE-30 Index
DOI:
https://doi.org/10.52131/pjhss.2023.1101.0383Keywords:
Market Capitalization , Asset Allocation , Grey Wolf Optimization , KSE-30 IndexAbstract
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.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Javed Iqbal, Abid Mehmood, Aboubakar Mirza, Abdul Khaliq
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.