Do dividend announcements override the pandemic impacts? Evidence from the BSE 500 constituent firms

IF 5.5 Q1 MANAGEMENT Asia Pacific Management Review Pub Date : 2022-09-01 DOI:10.1016/j.apmrv.2021.09.002
Dharen Kumar Pandey, Vineeta Kumari
{"title":"Do dividend announcements override the pandemic impacts? Evidence from the BSE 500 constituent firms","authors":"Dharen Kumar Pandey,&nbsp;Vineeta Kumari","doi":"10.1016/j.apmrv.2021.09.002","DOIUrl":null,"url":null,"abstract":"<div><p>With a sample of 332 dividend announcements from January 2019 to December 2020, using the event study methodology with the market model, we provide evidence that the dividend announcements failed to influence the stock prices under the pandemic stress. Although the pre-pandemic period announcements significantly impacted the stock returns, the pandemic period dividend announcements failed to generate significant abnormal returns even for an increase in dividend over the previous year. The pre-pandemic period results are consistent with previous literature with significant returns for constant, increase, and decrease in dividends. During the pre-pandemic period, we also find the possibility of information leakage in the Indian stock market as the pre-announcement period is marked with positive significant abnormal returns while the post-announcement period seems to be profit booking. The industry-wise analysis reveals the presence of positive returns in the Information Technology, Media and Telecommunication sector. However, the rest of the results are in line with the previous analysis. The findings suggest that before making such announcements, the companies should wait for the market to recover; else, the positively impacting dividend announcement will fail to influence the stock prices when the market is already under pandemic stress. We conduct the first-ever study to examine the impacts of dividend announcements during a pandemic stress period with also comparing the impacts during the pre-pandemic period.</p></div>","PeriodicalId":46001,"journal":{"name":"Asia Pacific Management Review","volume":"27 3","pages":"Pages 210-219"},"PeriodicalIF":5.5000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S102931322100083X/pdfft?md5=fe4efbccf8ad76b5695a13c65e326b12&pid=1-s2.0-S102931322100083X-main.pdf","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia Pacific Management Review","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S102931322100083X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 16

Abstract

With a sample of 332 dividend announcements from January 2019 to December 2020, using the event study methodology with the market model, we provide evidence that the dividend announcements failed to influence the stock prices under the pandemic stress. Although the pre-pandemic period announcements significantly impacted the stock returns, the pandemic period dividend announcements failed to generate significant abnormal returns even for an increase in dividend over the previous year. The pre-pandemic period results are consistent with previous literature with significant returns for constant, increase, and decrease in dividends. During the pre-pandemic period, we also find the possibility of information leakage in the Indian stock market as the pre-announcement period is marked with positive significant abnormal returns while the post-announcement period seems to be profit booking. The industry-wise analysis reveals the presence of positive returns in the Information Technology, Media and Telecommunication sector. However, the rest of the results are in line with the previous analysis. The findings suggest that before making such announcements, the companies should wait for the market to recover; else, the positively impacting dividend announcement will fail to influence the stock prices when the market is already under pandemic stress. We conduct the first-ever study to examine the impacts of dividend announcements during a pandemic stress period with also comparing the impacts during the pre-pandemic period.

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
派息公告是否能盖过疫情影响?来自BSE 500成分股公司的证据
以2019年1月至2020年12月的332份股息公告为样本,采用市场模型的事件研究方法,证明了在疫情压力下,股息公告未能影响股价。尽管大流行前的公告对股票回报产生了重大影响,但大流行期间的股息公告未能产生显著的异常回报,即使股息比上一年有所增加。大流行前时期的结果与以前的文献一致,股息不变、增加和减少的回报显著。在疫情前,我们还发现印度股市存在信息泄露的可能性,因为在疫情发布前,印度股市出现了显著的正异常收益,而在疫情发布后,印度股市似乎出现了盈利记录。行业分析显示,信息技术、媒体和电信行业存在正回报。然而,其余的结果与之前的分析一致。研究结果表明,在发布此类公告之前,企业应等待市场复苏;否则,在市场已经受到疫情压力的情况下,积极影响的股息公告将无法影响股价。我们开展了有史以来第一次研究,审查在大流行压力期间宣布股息的影响,并比较了大流行前期间的影响。
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 去求助
来源期刊
CiteScore
8.00
自引率
4.50%
发文量
47
期刊介绍: Asia Pacific Management Review (APMR), peer-reviewed and published quarterly, pursues to publish original and high quality research articles and notes that contribute to build empirical and theoretical understanding for concerning strategy and management aspects in business and activities. Meanwhile, we also seek to publish short communications and opinions addressing issues of current concern to managers in regards to within and between the Asia-Pacific region. The covered domains but not limited to, such as accounting, finance, marketing, decision analysis and operation management, human resource management, information management, international business management, logistic and supply chain management, quantitative and research methods, strategic and business management, and tourism management, are suitable for publication in the APMR.
期刊最新文献
Editorial Board A long short-term memory model for forecasting housing prices in Taiwan in the post-epidemic era through big data analytics Drivers of customer satisfaction with restaurants during COVID-19. A survey of young adults in Taiwan and Indonesia Forecasting vault cash with an extreme value long short-term memory network Integrating technical indicators, chip factors and stock news for enhanced stock price predictions: A multi-kernel approach
×
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