Application of Single Index Model to Determine Optimal Stock Portfolio (A Case Study on IDX30 in 2022)

Emmanuel Parulian Sirait, Kankan Parmikanti, Riaman Riaman
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Abstract

Stock represent proof of ownership or participation of an individual or entity in a company. Investors gain profits from shares through capital gains and dividends. The difficulty in selecting an optimal composition of a stock portfolio is a major concern for investors. This study aims to determine the optimal composition of a stock portfolio, calculate the expected returns in the future, and assess the potential risks that investors may encounter later on. The data for this research consists of stocks listed on the IDX30 Index throughout the year 2022, which consistently appear in every six-month evaluation. The analysis is conducted using a single-index model. Based on the findings of this study, the following ten stocks are identified as the optimal portfolio constituents: KLBF with a weight of 17.20%, BBRI with a weight of 17.18%, BBCA with a weight of 17.08%, PTBA with a weight of 12.46%, BBNI with a weight of 9.89%, UNVR with a weight of 8.33%, INKP with a weight of 8.66%, ICBP with a weight of 5.56%, BMRI with a weight of 3.25%, and UNTR with a weight of 0,39%. The expected return from the formed portfolio is 0,1% per day, with a corresponding risk of 0,004%.
单指数模型在股票最优投资组合确定中的应用(以2022年IDX30为例)
股票代表个人或实体在公司的所有权或参与的证明。投资者通过资本利得和股息从股票中获得利润。在股票投资组合中选择最佳组合的困难是投资者主要关心的问题。本研究旨在确定股票投资组合的最优构成,计算未来的预期收益,并评估投资者未来可能遇到的潜在风险。本研究的数据包括IDX30指数在2022年全年上市的股票,这些股票始终出现在每六个月的评估中。分析采用单指标模型进行。根据本研究结果,确定以下10只股票为最优组合成分:KLBF权重为17.20%,bbi权重为17.18%,BBCA权重为17.08%,PTBA权重为12.46%,BBNI权重为9.89%,UNVR权重为8.33%,INKP权重为8.66%,ICBP权重为5.56%,BMRI权重为3.25%,UNTR权重为0.39%形成的投资组合的预期收益为每天0.1%,相应的风险为0.004%。
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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