社交媒体投资者情绪、谷歌投资者关注与股票收益的前滞后关系

A. Rizkiana, Hasrini Sari, P. Hardjomidjojo, B. Prihartono, I. Sunaryo, I. Prasetyo
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引用次数: 5

摘要

投资者情绪在推动股价方面发挥着重要作用。尽管之前的许多研究表明,社交媒体中的投资者情绪可以用来预测股价走势,但有两件事仍需要进一步调查。第一个与投资者的注意力有关,它影响预测股价走势的能力及其与投资者情绪的相互作用。二是投资者情绪、投资者注意力与股票收益之间的超前滞后关系效应。因此,本研究的目的是了解这三个变量之间的超前-滞后关系以及投资者情绪和投资者注意力之间的相互作用对预测股价走势的影响。回答研究问题的步骤是基于社交媒体Stockbit上的评论来衡量投资者情绪,基于Google Trend上的搜索量来衡量投资者关注,然后使用格兰杰因果分析和向量自回归来检验变量之间的领先滞后关系和交互作用的影响。检验结果表明,印尼投资者情绪是股票收益的反应,而不是原因,因此不能用来预测股价走势。此外,在谷歌趋势中通过搜索量衡量的投资者关注也不能用于预测股价走势。投资者情绪对股票收益没有显著影响的原因有四个,即信息对股价的扩散速度、所使用的数据来源、所测试的股票资本化规模和投资者情绪测量方法的选择。此外,投资者关注对股票收益没有显著影响的原因有两个,一是与所测试的股票市值规模有关,二是与没有反映投资者关注的谷歌搜索量有关。投资者情绪变量与投资者对股票收益关注的影响不显著,导致两者之间的交互作用不显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lead-Lag Relationship between Investor Sentiment in Social Media9 Investor Attention in Google, and Stock Return
Investor sentiment has a significant role in driving stock prices. Although many previous studies show that investor sentiment in social media can be used to predict stock price movements, there are two things that still need further investigation. The first one is related to the attention of investors that affect the ability to predict the movement of stocks price and its interaction with investor sentiment. The second one is related to the effect of the lead-lag relationship between investor sentiment, investor attention, and stock return. Therefore, the purpose of this research is to understand the effect of the lead-lag relationship between the three variables as well as the interaction between investor sentiment and investor attention in predicting the movement of stock prices. The steps taken to answer the research problem are to measure investor sentiment based on comments in social media Stockbit, measure investor attention based on search volume obtained from Google Trend, and then test the effect of lead-lag relationship and interaction between variable using Granger causality analysis and vector autoregression. Test results show that investor sentiment in Indonesia is a reaction from stock returns, not the cause, so it cannot be used to predict stock price movement. Also, investor attention measured by search volume in Google Trend cannot be used to predict stock price movement either. There are four reasons on why investor sentiment has no significant effect on stock return, which is the speed of information diffusion on the stock price, data source used, size of stock capitalization tested, and selection of investor sentiment measurement method. Furthermore, there are two reasons on why investor attention has no significant effect on stock return, which is related to stock capitalization size tested and google search volume that does not reflect investor attention. The insignificant effects of investor sentiment variable and investor attention to stock returns cause the interaction between the two not significant.
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