Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/77358
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dc.contributor.authorYangnan Chengen_US
dc.contributor.authorJianxu Liuen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2022-10-16T07:28:46Z-
dc.date.available2022-10-16T07:28:46Z-
dc.date.issued2021-07-27en_US
dc.identifier.issn17426596en_US
dc.identifier.issn17426588en_US
dc.identifier.other2-s2.0-85112405755en_US
dc.identifier.other10.1088/1742-6596/1978/1/012043en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85112405755&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/77358-
dc.description.abstractThis paper aims to assess risk spillover effect between China and other BRICS countries by CoVaR-copula method. We analyse the result of ΔCoVaR in two sub-periods-year 2019 and COVID-19 period. Data for stock prices of major stock market in each country are used. Our results show that risk spillover effect from China to other BRICS countries increased during the epidemic. Meanwhile, COVID-19 pandemic enhanced the co-movement between China and other four countries. Under the shock from other countries, stock market in China stayed strong. By contrast, stock markets in Brazil, India and South Africa are vulnerable. The results show the accuracy of CoVaR-copula approach for risk spillover effect measurement.en_US
dc.subjectPhysics and Astronomyen_US
dc.titleRisk spillovers between China and other BRICS countries during COVID-19 pandemic: A CoVaR-copula approachen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleJournal of Physics: Conference Seriesen_US
article.volume1978en_US
article.stream.affiliationsShandong University of Finance and Economicsen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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