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Lead-Lag Relationship between Investor Sentiment in Social Media9 Investor Attention in Google, and Stock Return

机译:社交媒体中的投资者情绪与Google 9中的投资者注意之间的铅滞后关系

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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.
机译:投资者情绪在驾驶股票价格方面具有重要作用。虽然许多以前的研究表明,社交媒体的投资者情绪可用于预测库存价格走势,有两件事仍然需要进一步调查。第一个与投资者的注意力有关,这些投资者会影响预测股票价格的运动及其与投资者情绪的互动的能力。第二个与投资者情绪,投资者关注和股票回报之间的引导滞后关系的影响有关。因此,本研究的目的是了解三个变量与投资者情绪与投资者关注之间的互动对股票价格之间的互动的影响。回答研究问题采取的步骤是根据社交媒体股票的评论来衡量投资者情绪,根据从谷歌趋势获得的搜索量来衡量投资者注意力,然后使用格兰杰因果关系测试铅滞后关系和变量之间的相互作用的影响分析和矢量自动增加。测试结果表明,印度尼西亚的投资者情绪是股票回报的反应,而不是原因,因此不能用于预测股价运动。此外,谷歌趋势中搜索量测量的投资者注意力不能用于预测股价运动。为什么投资者情绪对股票回报没有显着影响的原因,这是信息股票价格扩散的速度,使用的数据源,库存大小测试,以及投资者情绪测量方法的选择。此外,为什么投资者注意对股票回报没有显着影响的原因,这与经过测试的库存资本化尺寸和没有反映投资者关注的谷歌搜索量有关。投资者情绪变量和投资者对股票回报的微不足道的影响导致两者之间的相互作用不显着。

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