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1.
Fluctuation and Noise Letters ; 2022.
Article in English | Web of Science | ID: covidwho-2088890

ABSTRACT

This paper studies how return connectedness exhibits potential linkages among 17 economies over a 20-year period starting in 2001. We obtained three main results by employing the dynamic connectedness approach, which is based on vector auto-regression (VAR), to calculate generalized forecast error decompositions. First, although the financial crisis (2007-2008) experienced a high level of connectedness, the spillover index spiked during the early stages of the COVID-19 outbreak. Second, the "return shock sender" is a community of countries that includes the United States, Australia, and European countries, while Vietnam is immune to financial linkages. Third, we discovered the predictive power of U.S. economic policy uncertainty and disease fear with market volatility for the Vietnamese return connectedness. As a result, our research identifies a range of relevant policies to mitigate spillover risks in the context of financial stability.

2.
J Econ Asymmetries ; 26: e00276, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-2069306

ABSTRACT

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.

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