Sri Kehati Stock Index Portfolio Optimization

Deby Indah Mayriska, Hermanto Siregar, N. Zulbainarni
{"title":"Sri Kehati Stock Index Portfolio Optimization","authors":"Deby Indah Mayriska, Hermanto Siregar, N. Zulbainarni","doi":"10.37676/ekombis.v12i1.5131","DOIUrl":null,"url":null,"abstract":"The purpose of this research is to analyze the composition of stocks to form the optimal portfolio of 25 issuers included in the SRI KEHATI Index for the period 2017 – 2021. The method used to form the portfolio is the Single Index Model (SIM) and the Capital Asset Pricing Model (CAPM), to measure stock performance using the Sharpe, Treynor and Jensen indices and equipped with a Monte Carlo simulation to measure the level of risk (Value at Risk). This research is a descriptive and quantitative research using secondary data. The calculation results show the composition of the portfolio and the proportion of funds: (1) SIM method, there are 5 stocks namely: BBCA (69%), BBRI (13%), EXCL (8%), JPFA (5%) , TINS ( 4%) with portfolio return of 1.49%, Sharpe index 0.16525, Treynor 0.00994, Jensen 0.0178 and the highest VaR value is found at the 99% confidence level in TINS stock , which is -44.3%. (2) CAPM method, there are 8 stocks namely: BBCA (23.59%), BBRI (16.27%), BMRI (16.19%), EXCL (13.95%), BBNI (11.50%), JPFA (7.08%), TINS ( 6.77 %), UNTR (5.56%) with a portfolio return of 0.47%, Sharpe index 0.02298, Treynor 0.00065, Jensen 0.00180 and the highest VaR value is found at a 99% confidence level in TINSstocks , which is - 45.1%.","PeriodicalId":193914,"journal":{"name":"EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis","volume":"137 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37676/ekombis.v12i1.5131","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

The purpose of this research is to analyze the composition of stocks to form the optimal portfolio of 25 issuers included in the SRI KEHATI Index for the period 2017 – 2021. The method used to form the portfolio is the Single Index Model (SIM) and the Capital Asset Pricing Model (CAPM), to measure stock performance using the Sharpe, Treynor and Jensen indices and equipped with a Monte Carlo simulation to measure the level of risk (Value at Risk). This research is a descriptive and quantitative research using secondary data. The calculation results show the composition of the portfolio and the proportion of funds: (1) SIM method, there are 5 stocks namely: BBCA (69%), BBRI (13%), EXCL (8%), JPFA (5%) , TINS ( 4%) with portfolio return of 1.49%, Sharpe index 0.16525, Treynor 0.00994, Jensen 0.0178 and the highest VaR value is found at the 99% confidence level in TINS stock , which is -44.3%. (2) CAPM method, there are 8 stocks namely: BBCA (23.59%), BBRI (16.27%), BMRI (16.19%), EXCL (13.95%), BBNI (11.50%), JPFA (7.08%), TINS ( 6.77 %), UNTR (5.56%) with a portfolio return of 0.47%, Sharpe index 0.02298, Treynor 0.00065, Jensen 0.00180 and the highest VaR value is found at a 99% confidence level in TINSstocks , which is - 45.1%.
Sri Kehati 股票指数投资组合优化
本研究的目的是分析股票的构成,以形成 2017 - 2021 年期间 SRI KEHATI 指数所包含的 25 家发行人的最佳投资组合。形成投资组合的方法是单一指数模型(SIM)和资本资产定价模型(CAPM),使用夏普指数、特雷诺指数和詹森指数衡量股票表现,并配备蒙特卡罗模拟来衡量风险水平(风险价值)。本研究使用二手数据进行描述性定量研究。计算结果显示了投资组合的构成和资金比例:(1)SIM 法,共有 5 只股票,即BBCA(69%)、BBRI(13%)、EXCL(8%)、JPFA(5%)、TINS(4%),组合收益率为 1.49%,夏普指数为 0.16525,Treynor 为 0.00994,Jensen 为 0.0178,在 99% 置信度下,TINS 股票的 VaR 值最高,为-44.3%。(2)CAPM 法,共有 8 只股票,分别是BBCA (23.59%)、BBRI (16.27%)、BMRI (16.19%)、EXCL (13.95%)、BBNI (11.50%)、JPFA (7.08%)、TINS ( 6.77 %)、UNTR (5.56%),投资组合收益率为 0.47%,夏普指数为 0.02298,特雷纳指数为 0.00065,詹森指数为 0.00180,在 99%置信水平下,TINS 股票的最高风险值为-45.1%。
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:604180095
Book学术官方微信