同意不同意:互联网留言板情绪的信息量

IF 4.8 2区 经济学 Q1 BUSINESS, FINANCE Pacific-Basin Finance Journal Pub Date : 2024-08-13 DOI:10.1016/j.pacfin.2024.102485
Thai Ton , Henry Leung , Yang Gao , Dirk Schiereck
{"title":"同意不同意:互联网留言板情绪的信息量","authors":"Thai Ton ,&nbsp;Henry Leung ,&nbsp;Yang Gao ,&nbsp;Dirk Schiereck","doi":"10.1016/j.pacfin.2024.102485","DOIUrl":null,"url":null,"abstract":"<div><p>We study the informativeness of the sentiment of posts on Australia's largest online stock message board, HotCopper. We explore whether disagreements among sentiment form a signal about the fundamental news of a company. We find that positive sentiment is associated with noise induced (uniformed) trading whereas negative sentiment contains value-relevant information about a firm's performance. Our empirical findings suggest that short selling activity reduces overreactions of abnormal returns in a noisy environment on the same day. Furthermore, we observe a sentiment convergence pattern around annual earnings announcements and low levels of sentiment homogeneity relate to significantly lower annual earnings surprise. This supports the view that disagreements among sentiments are a signal of bad news about firm fundamentals.</p></div>","PeriodicalId":48074,"journal":{"name":"Pacific-Basin Finance Journal","volume":"87 ","pages":"Article 102485"},"PeriodicalIF":4.8000,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Agreeing to disagree: Informativeness of sentiments in internet message boards\",\"authors\":\"Thai Ton ,&nbsp;Henry Leung ,&nbsp;Yang Gao ,&nbsp;Dirk Schiereck\",\"doi\":\"10.1016/j.pacfin.2024.102485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We study the informativeness of the sentiment of posts on Australia's largest online stock message board, HotCopper. We explore whether disagreements among sentiment form a signal about the fundamental news of a company. We find that positive sentiment is associated with noise induced (uniformed) trading whereas negative sentiment contains value-relevant information about a firm's performance. Our empirical findings suggest that short selling activity reduces overreactions of abnormal returns in a noisy environment on the same day. Furthermore, we observe a sentiment convergence pattern around annual earnings announcements and low levels of sentiment homogeneity relate to significantly lower annual earnings surprise. This supports the view that disagreements among sentiments are a signal of bad news about firm fundamentals.</p></div>\",\"PeriodicalId\":48074,\"journal\":{\"name\":\"Pacific-Basin Finance Journal\",\"volume\":\"87 \",\"pages\":\"Article 102485\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pacific-Basin Finance Journal\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0927538X24002373\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pacific-Basin Finance Journal","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0927538X24002373","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

我们研究了澳大利亚最大的在线股票留言板 HotCopper 上帖子情绪的信息量。我们探讨了情绪之间的分歧是否会形成有关公司基本面消息的信号。我们发现,积极情绪与噪音诱导(统一)交易有关,而消极情绪则包含与公司业绩价值相关的信息。我们的实证研究结果表明,卖空活动可减少当日噪声环境下异常回报的过度反应。此外,我们观察到年度收益公告前后的情绪趋同模式,低水平的情绪同质性与显著降低的年度收益意外有关。这支持了一种观点,即情绪之间的分歧是公司基本面坏消息的信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Agreeing to disagree: Informativeness of sentiments in internet message boards

We study the informativeness of the sentiment of posts on Australia's largest online stock message board, HotCopper. We explore whether disagreements among sentiment form a signal about the fundamental news of a company. We find that positive sentiment is associated with noise induced (uniformed) trading whereas negative sentiment contains value-relevant information about a firm's performance. Our empirical findings suggest that short selling activity reduces overreactions of abnormal returns in a noisy environment on the same day. Furthermore, we observe a sentiment convergence pattern around annual earnings announcements and low levels of sentiment homogeneity relate to significantly lower annual earnings surprise. This supports the view that disagreements among sentiments are a signal of bad news about firm fundamentals.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Pacific-Basin Finance Journal
Pacific-Basin Finance Journal BUSINESS, FINANCE-
CiteScore
6.80
自引率
6.50%
发文量
157
期刊介绍: The Pacific-Basin Finance Journal is aimed at providing a specialized forum for the publication of academic research on capital markets of the Asia-Pacific countries. Primary emphasis will be placed on the highest quality empirical and theoretical research in the following areas: • Market Micro-structure; • Investment and Portfolio Management; • Theories of Market Equilibrium; • Valuation of Financial and Real Assets; • Behavior of Asset Prices in Financial Sectors; • Normative Theory of Financial Management; • Capital Markets of Development; • Market Mechanisms.
期刊最新文献
Financial regulation and corporate social responsibility: Evidence from China Navigating cash management: The role of board co-option Editorial Board Market responses to the China's transaction cost changes: An analysis of volatility dynamics Explaining the diversity in findings on derivatives uses and firm value: Insights from firms' commodity futures use
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1