A Clustering Method for Portfolio Optimization The Case of Pakistan Stock Exchange
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Date
2020
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Publisher
UMT.Lahore
Abstract
Extantevidence shows that clustering analysis can improve portfolio selection and performance.
This study aims to improve portfolio performance using K-means clustering technique in Pakistan
Stock Exchange (PSX). For this purpose, using daily return for the period of January 2010 to
December 2018, the study develops three stock clusters based on Firm Size, Return on Equity and
Return on Assets. The findings reveal that the clustering technique out performs naïve portfolio
strategies in traditional Markowitz mean-variance framework.