Tweets versus broadsheets: Sentiment impact on stock markets around the world

IF 1.5 3区 经济学 Q3 BUSINESS, FINANCE
Baoqing Gan, Vitali Alexeev, Danny Yeung
{"title":"Tweets versus broadsheets: Sentiment impact on stock markets around the world","authors":"Baoqing Gan,&nbsp;Vitali Alexeev,&nbsp;Danny Yeung","doi":"10.1111/jfir.12380","DOIUrl":null,"url":null,"abstract":"<p>We contrast sentiment derived from social and news media to investigate its impact across 14 international markets. We find that heightened media sentiment during nontrading periods significantly affects the next day's opening returns even after accounting for the previous-day activity. Markedly, only the US market exhibits strong reactions to social media, whereas other markets are more responsive to the news. We find that most variability in overnight returns is explained by sentiment aggregated 3 h before markets open. Our findings suggest that the overnight sentiment does not simply subsume previous-day market activity but contains additional information that helps improve predictability in return forecasting models.</p>","PeriodicalId":47584,"journal":{"name":"Journal of Financial Research","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfir.12380","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Financial Research","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jfir.12380","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

We contrast sentiment derived from social and news media to investigate its impact across 14 international markets. We find that heightened media sentiment during nontrading periods significantly affects the next day's opening returns even after accounting for the previous-day activity. Markedly, only the US market exhibits strong reactions to social media, whereas other markets are more responsive to the news. We find that most variability in overnight returns is explained by sentiment aggregated 3 h before markets open. Our findings suggest that the overnight sentiment does not simply subsume previous-day market activity but contains additional information that helps improve predictability in return forecasting models.

Abstract Image

推文与大报:情绪对全球股市的影响
我们对比了来自社交媒体和新闻媒体的情绪,研究其对 14 个国际市场的影响。我们发现,即使考虑了前一天的活动,非交易期间媒体情绪的高涨也会对第二天的开盘回报率产生重大影响。值得注意的是,只有美国市场对社交媒体表现出强烈的反应,而其他市场对新闻的反应更为强烈。我们发现,隔夜收益率的大部分变化都是由市场开盘前 3 小时的情绪汇总解释的。我们的研究结果表明,隔夜情绪并不简单地包含前一天的市场活动,而是包含了额外的信息,有助于提高回报预测模型的可预测性。
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
Journal of Financial Research
Journal of Financial Research BUSINESS, FINANCE-
CiteScore
1.70
自引率
0.00%
发文量
0
期刊介绍: The Journal of Financial Research(JFR) is a quarterly academic journal sponsored by the Southern Finance Association (SFA) and the Southwestern Finance Association (SWFA). It has been continuously published since 1978 and focuses on the publication of original scholarly research in various areas of finance such as investment and portfolio management, capital markets and institutions, corporate finance, corporate governance, and capital investment. The JFR, also known as the Journal of Financial Research, provides a platform for researchers to contribute to the advancement of knowledge in the field of finance.
×
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