股票投资组合中单指数和多指数模型的准确性——以印尼新冠肺炎疫情后LQ45股票为例

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摘要

本文讨论了单指数模型和多指数模型构建股票投资组合的准确性问题。本研究旨在揭示单指数和多指数模型的准确性相关信息,以形成印度尼西亚COVID-19大流行后最优股票投资组合。分析的结果可以用来选择哪种模型更准确,以形成最优的股票投资组合,为投资者提供回报。本文主要研究如何利用单指数和多指数模型确定最优股票投资组合。数据收集自LQ45列表中包含的股票,时间为2022年2月至7月,共有5980个观测值,包括115个市场回报、1150个行业回报和4715个个股回报。分析方法采用回归分析、残差标准差、Wilcoxon差分符号秩检验预测单指标和多指标模型的预期收益。研究结果表明,采用单指数模型方法和多指数模型对基于日常数据的股票投资组合进行预测,准确率均达到95% (alpha为5%)。主要发现是多指标模型比单指标模型更准确,其中多指标模型和单指标模型的标准差分别为0.0215和0.0280。关键词:个股收益,市场收益,多指数模型,单指数模型,Wilcoxon sign -rank检验DOI: https://doi.org/10.55463/hkjss.issn.1021-3619.61.64
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Accuracy of Single- and Multi-Index Models in Stock Investment Portfolios: Study on LQ45 Shares after the Covid-19 Pandemic in Indonesia
This study discusses the problem of the accuracy of the single- and multi-index models to form a stock investment portfolio. This study aims to reveal information related to the accuracy of the single- and multi-index models to form an optimal stock investment portfolio after the COVID-19 pandemic in Indonesia. The results of the analysis can be used to choose which model is more accurate to form an optimal stock portfolio that can provide returns for investors. This research is devoted to determining the optimal stock portfolio using the single- and multi-index models. The data were collected from stocks included in the LQ45 list for February-July 2022 with 5980 observations consisting of 115 market returns, 1150 industrial sector returns, and 4715 individual stock returns. The analytical method used was regression analysis to predict the expected returns from single- and multi-index models, standard deviation of residuals, and Wilcoxon's differential signed-rank test. The results of the study show that stock investment portfolios based on daily data using the single index model approach and the multi-index model have their respective levels of accuracy with an accuracy rate of 95% (alpha 5%). The main finding is that the multi-index model proved to be more accurate than the single-index model, where the standard deviations of the multi- and single-index models were 0.0215 and 0.0280, respectively. Keywords: individual stock returns, market returns, multi-index model, single-index model, Wilcoxon’s signed-rank test. DOI: https://doi.org/10.55463/hkjss.issn.1021-3619.61.64
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Hong Kong journal of Social Sciences
Hong Kong journal of Social Sciences Social Sciences-Social Sciences (all)
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