Optimization of Stock Portfolio in Indonesian Health Sector using Markowitz Modern Portfolio Theory

https://doi.org/10.46336/ijmsc.v3i1.182

Authors

  • Kalfin Universitas Padjadjaran, Bandung, Indonesia
  • Rizki Apriva Hidayana Department of Mathematics, Faculty of Mathematics and Natural Sciences, National University of the Republic of Indonesia, Bandung, Indonesia

Keywords:

Portfolio optimization, modern portfolio theory, health sector, risk

Abstract

This study analyzes the optimization of the health sector stock portfolio on the Indonesia Stock Exchange using the Markowitz Modern Portfolio Theory method. The data used are the daily closing prices of health sector stocks over the last three years obtained through web scraping techniques from Yahoo Finance. The analysis includes the calculation of daily returns, daily risks, and covariance matrices between stocks. The results of the portfolio optimization show that out of the ten stocks analyzed, the optimal portfolio consists of four stocks, namely MIKA.JK (62.82%), KLBF.JK (15.58%), CARE.JK (15.37%), and SAME.JK (6.23%). This portfolio generates a daily return of 0.216% with a risk level of 1.996%. MIKA.JK contributes the highest return of 0.02063% with a risk of 1.52601%. This study provides guidance for investors in optimizing fund allocation in the health sector stock portfolio in Indonesia.

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Published

2025-02-03

How to Cite

Kalfin, & Hidayana, R. A. (2025). Optimization of Stock Portfolio in Indonesian Health Sector using Markowitz Modern Portfolio Theory. International Journal of Mathematics, Statistics, and Computing, 3(1), 1–5. https://doi.org/10.46336/ijmsc.v3i1.182