Volatility spillovers from the Chinese stock market to the U.S. stock market: The role of the COVID-19 pandemic
The COVID-19 pandemic, which originated in Wuhan, China, precipitated the stock market crash of March 2020. According to published global data, the U.S. has been most affected by the tragedy throughout this outbreak. Understanding the degree of integration between the financial systems of the world&...
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Veröffentlicht in: | Journal of economic asymmetries 2022-11, Vol.26, p.e00276, Article e00276 |
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description | The COVID-19 pandemic, which originated in Wuhan, China, precipitated the stock market crash of March 2020. According to published global data, the U.S. has been most affected by the tragedy throughout this outbreak. Understanding the degree of integration between the financial systems of the world's two largest economies, particularly during the COVID-19 pandemic, necessitates thorough research of the risk transmission from China's stock market to the U.S. stock market. This study examines the volatility transmission from the Chinese to the U.S. stock market from January 2001 to October 2020. We employ a variant form of the EGARCH (1,1) model with long-term control over the excessive volatility breakpoints identified by the ICSS algorithm. Since 2004, empirical evidence indicates that the volatility shocks of the Chinese stock market have frequently and negatively affected the volatility of the U.S. stock market. Most importantly, we explore that the COVID-19 pandemic vigorously and positively promoted the volatility infection from the Chinese equity market to the U.S. equity market in March 2020. This precious evidence endorses the asymmetric volatility transmission from the Chinese to the U.S. stock market when COVID-19 broke out. These experimental results provide profound insight into the risk contagion between the U.S. and China stock markets. They are also essential for securities investors to minimize portfolio risk. Furthermore, this paper suggests that globalization has carefully driven the integration of China's stock market with the international equity markets. |
doi_str_mv | 10.1016/j.jeca.2022.e00276 |
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According to published global data, the U.S. has been most affected by the tragedy throughout this outbreak. Understanding the degree of integration between the financial systems of the world's two largest economies, particularly during the COVID-19 pandemic, necessitates thorough research of the risk transmission from China's stock market to the U.S. stock market. This study examines the volatility transmission from the Chinese to the U.S. stock market from January 2001 to October 2020. We employ a variant form of the EGARCH (1,1) model with long-term control over the excessive volatility breakpoints identified by the ICSS algorithm. Since 2004, empirical evidence indicates that the volatility shocks of the Chinese stock market have frequently and negatively affected the volatility of the U.S. stock market. Most importantly, we explore that the COVID-19 pandemic vigorously and positively promoted the volatility infection from the Chinese equity market to the U.S. equity market in March 2020. This precious evidence endorses the asymmetric volatility transmission from the Chinese to the U.S. stock market when COVID-19 broke out. These experimental results provide profound insight into the risk contagion between the U.S. and China stock markets. They are also essential for securities investors to minimize portfolio risk. Furthermore, this paper suggests that globalization has carefully driven the integration of China's stock market with the international equity markets.</description><identifier>ISSN: 1703-4949</identifier><identifier>EISSN: 1703-4949</identifier><identifier>DOI: 10.1016/j.jeca.2022.e00276</identifier><identifier>PMID: 36268201</identifier><language>eng</language><publisher>Canada: Elsevier B.V</publisher><subject>Asymmetric volatility spillovers ; Chinese stock market ; COVID-19 pandemic ; ICSS algorithm ; Stock market crash ; The U.S. stock market</subject><ispartof>Journal of economic asymmetries, 2022-11, Vol.26, p.e00276, Article e00276</ispartof><rights>2022 Elsevier B.V.</rights><rights>2022 Elsevier B.V. All rights reserved.</rights><rights>2022 Elsevier B.V. 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According to published global data, the U.S. has been most affected by the tragedy throughout this outbreak. Understanding the degree of integration between the financial systems of the world's two largest economies, particularly during the COVID-19 pandemic, necessitates thorough research of the risk transmission from China's stock market to the U.S. stock market. This study examines the volatility transmission from the Chinese to the U.S. stock market from January 2001 to October 2020. We employ a variant form of the EGARCH (1,1) model with long-term control over the excessive volatility breakpoints identified by the ICSS algorithm. Since 2004, empirical evidence indicates that the volatility shocks of the Chinese stock market have frequently and negatively affected the volatility of the U.S. stock market. Most importantly, we explore that the COVID-19 pandemic vigorously and positively promoted the volatility infection from the Chinese equity market to the U.S. equity market in March 2020. This precious evidence endorses the asymmetric volatility transmission from the Chinese to the U.S. stock market when COVID-19 broke out. These experimental results provide profound insight into the risk contagion between the U.S. and China stock markets. They are also essential for securities investors to minimize portfolio risk. Furthermore, this paper suggests that globalization has carefully driven the integration of China's stock market with the international equity markets.</description><subject>Asymmetric volatility spillovers</subject><subject>Chinese stock market</subject><subject>COVID-19 pandemic</subject><subject>ICSS algorithm</subject><subject>Stock market crash</subject><subject>The U.S. stock market</subject><issn>1703-4949</issn><issn>1703-4949</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9UUtv1DAQthCIVqV_gAPykUuCH4kdI4SEtkArVeqBtlfLccast0m82N6V-u_xkrZqL_gylr-HZ-ZD6D0lNSVUfNrUG7CmZoSxGghhUrxCx1QSXjWqUa-f3Y_QaUobUo4oQiXfoiMumOgYocco3IbRZD_6fI_T1o9j2ENM2MUw4bwGvFr7GRLglIO9w5OJd5BxDv-wm_pX_QL4jK_Lcwwj4OAW-dXtxVlFFd6aeYDJ23fojTNjgtOHeoJufny_Xp1Xl1c_L1bfLivbtExUXSeMdD0nzjJFnFBqaHrZQhm9k4r0HeWO0UYC61vTWWUd73puWtHyTvXS8hP0dfHd7voJBgtzjmbU2-hLq_c6GK9fIrNf699hr1UraMObYvDxwSCGPztIWU8-WRhHM0PYJc1kWXnDmlYUKluoNoaUIrinbyjRh7D0Rh_C0oew9BJWEX143uCT5DGaQviyEKCsae8h6mQ9zBYGH8FmPQT_P_-_bbWlUA</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Vuong, Giang Thi Huong</creator><creator>Nguyen, Manh Huu</creator><creator>Huynh, Anh Ngoc Quang</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1179-2635</orcidid><orcidid>https://orcid.org/0000-0003-3432-7645</orcidid></search><sort><creationdate>20221101</creationdate><title>Volatility spillovers from the Chinese stock market to the U.S. stock market: The role of the COVID-19 pandemic</title><author>Vuong, Giang Thi Huong ; Nguyen, Manh Huu ; Huynh, Anh Ngoc Quang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4526-886a7fb30fc290f699d4b75e1018790b813f2147e2b5a8c9cf38b3a565389b7c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Asymmetric volatility spillovers</topic><topic>Chinese stock market</topic><topic>COVID-19 pandemic</topic><topic>ICSS algorithm</topic><topic>Stock market crash</topic><topic>The U.S. stock market</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vuong, Giang Thi Huong</creatorcontrib><creatorcontrib>Nguyen, Manh Huu</creatorcontrib><creatorcontrib>Huynh, Anh Ngoc Quang</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of economic asymmetries</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vuong, Giang Thi Huong</au><au>Nguyen, Manh Huu</au><au>Huynh, Anh Ngoc Quang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Volatility spillovers from the Chinese stock market to the U.S. stock market: The role of the COVID-19 pandemic</atitle><jtitle>Journal of economic asymmetries</jtitle><addtitle>J Econ Asymmetries</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>26</volume><spage>e00276</spage><pages>e00276-</pages><artnum>e00276</artnum><issn>1703-4949</issn><eissn>1703-4949</eissn><abstract>The COVID-19 pandemic, which originated in Wuhan, China, precipitated the stock market crash of March 2020. 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subjects | Asymmetric volatility spillovers Chinese stock market COVID-19 pandemic ICSS algorithm Stock market crash The U.S. stock market |
title | Volatility spillovers from the Chinese stock market to the U.S. stock market: The role of the COVID-19 pandemic |
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