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

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
I. Syahrini, Ariefia Sardini, Nurmaulidar Nurmaulidar, M. Ikhwan
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引用次数: 0

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.
字典目标规划方法在期望缺口法股票投资组合优化中的应用
本研究的目的是根据投资于股票的资金比例形成几个最优投资组合,然后在已经形成的最优投资组合中选择最最优的投资组合。本研究中使用的方法是字典目标规划方法,即根据投资资金的比例确定最优投资组合,然后使用预期缺口方法确定最最优投资组合的选择。本研究使用了印度尼西亚证券交易所(IDX)5家公司的数据。结果表明,从投资基金的比例来看,得到了11个最优投资组合。利用期望缺口法,得到了11个投资组合中最优的投资组合,即5型投资组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
TEM Journal-Technology Education Management Informatics
TEM Journal-Technology Education Management Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.20
自引率
14.30%
发文量
176
审稿时长
8 weeks
期刊介绍: TEM JOURNAL - Technology, Education, Management, Informatics Is a an Open Access, Double-blind peer reviewed journal that publishes articles of interdisciplinary sciences: • Technology, • Computer and informatics sciences, • Education, • Management
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