Smith Stephen, O'Hare Anthony
Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.
Division of Computing Science and Mathematics, University of Stirling, Stirling, UK.
J Big Data. 2022;9(1):47. doi: 10.1186/s40537-022-00591-6. Epub 2022 Apr 28.
Twitter has been responsible for some major stock market news in the recent past, from rogue CEOs damaging their company to very active world leaders asking for brand boycotts, but despite its impact Twitter has still not been as impactful on markets as traditional news sources. In this paper we examine whether daily news sentiment of several companies and Twitter sentiment from their CEOs have an impact on their market performance and whether traditional news sources and Twitter activity of heads of government impact the benchmark indexes of major world economies over a period spanning the outbreak of the SAR-COV-2 pandemic. Our results indicate that there is very limited correlation between Twitter sentiment and price movements and that this does not change much when returns are taken relative to the market or when the market is calm or turbulent. There is almost no correlation under any circumstances between non-financial news sources and price movements, however there is some correlation between financial news sentiment and stock price movements. We also find this correlation gets stronger when returns are taken relative to the market. There are fewer companies correlated in both turbulent and calm economic times. There is no clear pattern to the direction and strength of the correlation, with some being strongly negatively correlated and others being strongly positively correlated, but in general the size of the correlation tends to indicate that price movement is driving sentiment, except in the turbulent economic times of the SARS-COV-2 pandemic in 2020.
推特在近期促成了一些重大的股市新闻,从流氓首席执行官损害其公司利益到非常活跃的世界领导人呼吁抵制品牌,但尽管推特产生了影响,它对市场的影响力仍不及传统新闻来源。在本文中,我们研究了几家公司的每日新闻情绪及其首席执行官在推特上表达的情绪是否会对其市场表现产生影响,以及在2019冠状病毒病疫情爆发后的一段时间内,传统新闻来源和政府首脑在推特上的活跃度是否会影响世界主要经济体的基准指数。我们的结果表明,推特情绪与股价变动之间的相关性非常有限,而且当回报相对于市场计算时,或者当市场平静或动荡时,这种相关性变化不大。在任何情况下,非金融新闻来源与股价变动之间几乎没有相关性,然而,金融新闻情绪与股价变动之间存在一定的相关性。我们还发现,当回报相对于市场计算时,这种相关性会更强。在经济动荡和平静时期,相关的公司数量都较少。相关性的方向和强度没有明显的模式,有些是强烈负相关,有些是强烈正相关,但总体而言,相关性的大小往往表明是股价变动在驱动情绪,2020年2019冠状病毒病疫情期间经济动荡时除外。