An Empirical Investigation Of Dynamics Of Institutional Investors' Trading Behaviour And Stock Market Returns In India During COVID-19 Period

R. Katoch
{"title":"An Empirical Investigation Of Dynamics Of Institutional Investors' Trading Behaviour And Stock Market Returns In India During COVID-19 Period","authors":"R. Katoch","doi":"10.1109/ESCI53509.2022.9758361","DOIUrl":null,"url":null,"abstract":"The study has explored the dynamic interaction between Foreign Institutional Investors (FII) net investments and Domestic Institutional Investors (DII) net Investments in the Indian stock market for positive and negative feedback trading in both pre and during the COVID period. The study has applied multivariate causality model VAR and found FII series become much more responsive to NIFTY returns in the COVID period. Also, FII investments become more informative during the COVID period. When compared with the pre-Covid period, the effect of DII owned lagged investments has been dominated by the increased effect of FII net investments and NIFTY returns in shaping DII influx in the COVID period. NIFTY returns become nonresponsive to shocks in FII and DII net investments in the COVID period. The study can have substantial inferences for institutional fund flows to revive the Indian stock market from the shocks of COVID-19.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESCI53509.2022.9758361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The study has explored the dynamic interaction between Foreign Institutional Investors (FII) net investments and Domestic Institutional Investors (DII) net Investments in the Indian stock market for positive and negative feedback trading in both pre and during the COVID period. The study has applied multivariate causality model VAR and found FII series become much more responsive to NIFTY returns in the COVID period. Also, FII investments become more informative during the COVID period. When compared with the pre-Covid period, the effect of DII owned lagged investments has been dominated by the increased effect of FII net investments and NIFTY returns in shaping DII influx in the COVID period. NIFTY returns become nonresponsive to shocks in FII and DII net investments in the COVID period. The study can have substantial inferences for institutional fund flows to revive the Indian stock market from the shocks of COVID-19.
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
2019冠状病毒病期间印度机构投资者交易行为与股市收益动态的实证研究
该研究探讨了外国机构投资者(FII)净投资和国内机构投资者(DII)净投资在印度股票市场上的动态相互作用,在COVID之前和期间进行正反馈和负反馈交易。该研究应用了多变量因果关系模型VAR,发现FII系列在COVID期间对NIFTY回报的响应更大。此外,在COVID期间,FII投资的信息量更大。与COVID前时期相比,DII拥有的滞后投资的影响主要是FII净投资和NIFTY回报在塑造COVID期间DII流入方面的影响增加。在新冠肺炎期间,优美的回报率对境外机构投资和境内机构投资净投资的冲击没有反应。该研究可以为机构资金流动提供实质性推论,以重振受COVID-19冲击的印度股市。
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
自引率
0.00%
发文量
0
期刊最新文献
Maximum Response Mechanism in Vehicular Cooperative Caching for C-V2X Networks A Modified Multiband Antenna for 5G Communication Deep Learning-Based Comparative Study to Detect Polyp Removal in Endoscopic Images A Multiple Stage Deep Learning Model for NID in MANETs Automated Diagnosis of Pneumonia through Capsule Network in conjunction with ResNet50v2 model
×
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