Stock Market Volatility Spillovers in G7 and BRIC
Ping Zhang,
Yezhou Sha and
Yifan Xu
Emerging Markets Finance and Trade, 2021, vol. 57, issue 7, 2107-2119
Abstract:
With the global integration development, the linkage between countries is strengthened in the dynamic spillover effects between BRIC and G7 from 2009 to 2020. We find that G7 is the exporter of risk, and BRIC is the receiver of the risk. We build the spillover model from the DAG-SVAR model. In the static spillover analysis, the net spillover of G7 is higher than that of BRIC. In the dynamic spillover analysis, the total systemic spillover is highly consistent with the world’s risk events. We also consider the directional spillover between G7 and BRIC, and find the volatility spillover of G7 to other markets is higher than that of BRIC. Furthermore, we use the European Debt Crisis, the China-US Trade War, and the Covid-19 Pandemic to study the spillover network’s dynamic evolution. We find that the global financial market’s spillover network is enhanced, and the volatility net spillover increased rapidly after the corresponding events. Specifically, after the Wuhan lockdown, China’s net spillover increased sharply to 264%, ranked first globally, and the net volatility spillover connectedness increased substantially after the Covid-19 Pandemic.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://hdl.handle.net/10.1080/1540496X.2021.1908256 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mes:emfitr:v:57:y:2021:i:7:p:2107-2119
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20
DOI: 10.1080/1540496X.2021.1908256
Access Statistics for this article
More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().