Optimum Stocks Portfolio Selection using Fuzzy Decision Theory

L. Chin, E. Chendra, A. Sukmana
{"title":"Optimum Stocks Portfolio Selection using Fuzzy Decision Theory","authors":"L. Chin, E. Chendra, A. Sukmana","doi":"10.5220/0010137400002775","DOIUrl":null,"url":null,"abstract":": An investor wants the value of his or her money does not have a decline in value against inflation. For this reason, investors need to invest in financial instruments, one of which is stocks. Thus, investors need to create an optimum stock portfolio. Generally, the factors considered by investors in creating an optimum portfolio are expectations of return and portfolio risk. However, besides these two factors, the liquidity is also an important factor to be considered. These three factors will be discussed in this paper to form an optimum portfolio. In addition, because stock transactions use lot units, the optimization problem here is a mixed-integer linear programming optimization problem that will be solved using the Branch and Bound algorithm that is available in toolbox Matlab 2016. This optimization problem will be applied to the formation of a portfolio consisting of stocks in LQ45 index. The LQ45 Stock Index was chosen because shares in this index have high liquidity levels according to the Indonesia Stock Exchange. The computation results show that the portfolio rebalancing model can form a portfolio based on the level of satisfaction of investor.","PeriodicalId":257157,"journal":{"name":"Proceedings of the 1st International MIPAnet Conference on Science and Mathematics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International MIPAnet Conference on Science and Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0010137400002775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

: An investor wants the value of his or her money does not have a decline in value against inflation. For this reason, investors need to invest in financial instruments, one of which is stocks. Thus, investors need to create an optimum stock portfolio. Generally, the factors considered by investors in creating an optimum portfolio are expectations of return and portfolio risk. However, besides these two factors, the liquidity is also an important factor to be considered. These three factors will be discussed in this paper to form an optimum portfolio. In addition, because stock transactions use lot units, the optimization problem here is a mixed-integer linear programming optimization problem that will be solved using the Branch and Bound algorithm that is available in toolbox Matlab 2016. This optimization problem will be applied to the formation of a portfolio consisting of stocks in LQ45 index. The LQ45 Stock Index was chosen because shares in this index have high liquidity levels according to the Indonesia Stock Exchange. The computation results show that the portfolio rebalancing model can form a portfolio based on the level of satisfaction of investor.
基于模糊决策理论的最优股票投资组合选择
投资者希望他或她的钱在通货膨胀时不会贬值。因此,投资者需要投资金融工具,其中之一就是股票。因此,投资者需要创建一个最佳的股票投资组合。一般来说,投资者在创建最佳投资组合时考虑的因素是回报预期和投资组合风险。然而,除了这两个因素之外,流动性也是一个需要考虑的重要因素。本文将讨论这三个因素,以形成最优投资组合。此外,由于股票交易使用批单位,因此这里的优化问题是一个混合整数线性规划优化问题,将使用Matlab 2016工具箱中提供的分支定界算法来解决。将此优化问题应用于LQ45指数股票组合的形成。之所以选择LQ45股票指数,是因为根据印度尼西亚证券交易所的说法,该指数中的股票具有较高的流动性水平。计算结果表明,投资组合再平衡模型可以根据投资者的满意程度形成投资组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信