Application of Lexicographic Goal Programming Method on Stock Portfolio Optimization With Expected Shortfall Approach

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Intan Syahrini, Ariefia Sardini, Nurmaulidar Nurmaulidar, Muhammad Ikhwan

2023 TEM Journal Vol. 12 Issue 3 Article Cited by 1 SDG 10 Quartile

Abstract

The purpose of this study is to form several optimal portfolios based on the proportion of funds invested in stocks, then the most optimal portfolio will be selected among the optimal portfolios that have been formed. The method used in this study is the lexicographic goal programming method, which is to determine the optimal portfolio based on the proportion of invested funds, then the selection of the most optimal portfolio is determined using the expected shortfall method. This study used data from 5 companies contained in Indonesia Stock Exchange (IDX). The results showed that from the proportion of invested funds, 11 optimal portfolios were obtained. Using the expected shortfall method, the most optimal portfolio of 11 portfolios was obtained, namely type 5 portfolio. © 2023 Intan Syahrini, Ariefia Sardini, Nurmaulidar Nurmaulidar & Muhammad Ikhwan; published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License.

Affiliations

Department of Mathematics, Universitas Syiah Kuala, Banda Aceh, Indonesia

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