{"title":"Impact of the COVID-19, lockdown and unlock on the Indian stock market and its international linkage with the Chinese stock market","authors":"N. Singh, Himanshu Goel, Shabnam Kumari","doi":"10.1504/IJMEF.2021.116545","DOIUrl":null,"url":null,"abstract":"This study investigates the impact of pandemic COVID-19, nationwide lockdown and unlock on the Indian stock market. Firstly, we analyse the impact of lockdown and unlock episodes on the volatility of the Indian stock market returns by employing the EGARCH model. The findings reveal that lockdown has a significant positive impact on the volatility of BSE returns. Secondly, this study investigates the interlinkage between Indian and Chinese markets using cointegration and causality technique in the pre and during COVID periods. Cointegration test indicates that there is no long run relationship between India and China in both the sub-periods. However, the causality results reveal unidirectional causality between India and China in the pre COVID-19 period. Therefore, the findings of this research are beneficial to investors of all categories and portfolio managers.","PeriodicalId":38654,"journal":{"name":"International Journal of Monetary Economics and Finance","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Monetary Economics and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMEF.2021.116545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 1
Abstract
This study investigates the impact of pandemic COVID-19, nationwide lockdown and unlock on the Indian stock market. Firstly, we analyse the impact of lockdown and unlock episodes on the volatility of the Indian stock market returns by employing the EGARCH model. The findings reveal that lockdown has a significant positive impact on the volatility of BSE returns. Secondly, this study investigates the interlinkage between Indian and Chinese markets using cointegration and causality technique in the pre and during COVID periods. Cointegration test indicates that there is no long run relationship between India and China in both the sub-periods. However, the causality results reveal unidirectional causality between India and China in the pre COVID-19 period. Therefore, the findings of this research are beneficial to investors of all categories and portfolio managers.
期刊介绍:
International money, banking and finance have become central to understanding how modern open economies and national economic policies work and interact. IJMEF is an international, peer-reviewed journal at the forefront of economic research, fostering discussion on advances in research which have a significant, long-term impact. With articles from both economists and finance experts, IJMEF represents a focal point for understanding issues involved in economic growth, providing a truly global perspective on monetary and financial questions at national and international levels. Topics covered include: -International financial institutions- Monetary theory- Exchange rates and interest rates- Bank services and development- Central banking- International banking- Credit and financial markets- Open economy macroeconomics- Macroeconometrics- International finance- Financial markets and institutions- Corporate governance- Financial liberalisation- Financial performance- Credit channels.