ORIGINAL RESEARCH article
Front. Appl. Math. Stat.
Sec. Mathematical Finance
Volume 11 - 2025 | doi: 10.3389/fams.2025.1564664
Impact of COVID-19 Transmission Rate on Co-movement of China's Stock Markets
Provisionally accepted- 1Shenwan Hongyuan Securities Co. Ltd. Postdoctoral Research Station, Shanghai, China
- 2City University of Macau, Macao, Macao, SAR China
- 3Jinan University, Guangzhou, Guangdong Province, China
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This paper explored the impact of COVID-19 transmission rate on co-movement of China's stock markets. By employing the rolling time series model to measure the COVID-19 transmission rate and DCC-GARCH model to analyze co-movement of China's Stock markets, this paper managed to demonstrate a significant correlation between COVID-19 transmission rate and co-movement of China's stock markets.The findings revealed that co-movement of China's stock markets was significantly affected by the COVID-19 transmission rate during the pandemic period. As the transmission rate accelerated, the co-movement among China's stock markets intensified, indicating that the shock of the pandemic strengthened their interconnectedness, leading to a broader spread of risk. This suggests that the pandemic shock not only impacted individual stock markets but also intensified the correlations and risk spillovers among them.Such findings have important implications for investors, policymakers, and regulators. Therefore, during the virus outbreak stage, attempting to diversify risk by investing funds into different stock markets is ineffective; a more viable strategy to minimize losses would be to sell their held stocks. For policymakers, promptly introducing and effectively implementing virus prevention and containment measures is a feasible approach to mitigate the epidemic's impact on domestic financial markets and stabilize their development.
Keywords: Co-movement, China's stock markets, COVID-19 transmission rate, rolling time series, DCC-GARCH model
Received: 06 Feb 2025; Accepted: 10 Apr 2025.
Copyright: © 2025 Xiao, Lin and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Deqin Lin, City University of Macau, Macao, Macao, SAR China
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