The price impact of tweets: A high‐frequency study

IF 2.6 Q2 BUSINESS, FINANCE
Ni Yang, Adrian Fernandez‐Perez, Ivan Indriawan
{"title":"The price impact of tweets: A high‐frequency study","authors":"Ni Yang, Adrian Fernandez‐Perez, Ivan Indriawan","doi":"10.1111/fire.12406","DOIUrl":null,"url":null,"abstract":"We examine the mechanism by which social media sentiment affects stock prices. Specifically, we assess the impact of Twitter feeds on stock returns at the intraday level. We find that an increase in buyer‐initiated trades has a significantly positive price impact. This impact, however, is stronger with an increase in the number of tweets and sentiment, and persists even after controlling for volatility, liquidity shock, and limit‐order activity. The impact of Twitter sentiment on prices causes a lingering mispricing effect that is not fully assimilated at the intraday level. Rather, this mispricing takes several days to correct.","PeriodicalId":47617,"journal":{"name":"FINANCIAL REVIEW","volume":"11 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"FINANCIAL REVIEW","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/fire.12406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

We examine the mechanism by which social media sentiment affects stock prices. Specifically, we assess the impact of Twitter feeds on stock returns at the intraday level. We find that an increase in buyer‐initiated trades has a significantly positive price impact. This impact, however, is stronger with an increase in the number of tweets and sentiment, and persists even after controlling for volatility, liquidity shock, and limit‐order activity. The impact of Twitter sentiment on prices causes a lingering mispricing effect that is not fully assimilated at the intraday level. Rather, this mispricing takes several days to correct.
推文对价格的影响:高频研究
我们研究了社交媒体情绪影响股票价格的机制。具体而言,我们评估了 Twitter 订阅在盘中对股票回报的影响。我们发现,买方发起的交易增加会对价格产生显著的正向影响。然而,这种影响随着推文数量和情绪的增加而增强,即使在控制了波动性、流动性冲击和限价单活动之后,这种影响依然存在。推特情绪对价格的影响导致了一种挥之不去的错误定价效应,这种效应并没有在盘中被完全吸收。相反,这种错误定价需要几天时间才能纠正。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
FINANCIAL REVIEW
FINANCIAL REVIEW BUSINESS, FINANCE-
CiteScore
3.30
自引率
28.10%
发文量
39
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信