A New Form of Financial Contagion
Author | : Samet Gunay |
Publisher | : |
Total Pages | : 16 |
Release | : 2020 |
Genre | : |
ISBN | : |
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The COVID-19 pandemic has induced a different and more severe version of the contagion phenomenon. In this study, we examine the influence of the COVID-19 pandemic on six different stock markets. Empirical analyses are conducted for four different time intervals to reveal the effect of the COVID-19 pandemic. The modified ICSS test shows that the pandemic has led to structural breaks in the volatility of stock indexes. While break dates intensify around February 19-21, 2020 in most of the markets, for the Chinese stock market, the break appears approximately three weeks earlier, on January 30, 2020. The DCC-MVGARCH and DCC-MVFIGARCH models illustrate the effect of the COVID-19 pandemic on dynamic conditional correlations. According to the changes in unconditional correlation coefficients, although the relationship of the Chinese and Turkish stock markets weakens across 2005 to 2019, it displays a 20% rise following the pandemic. Some other market pairs also show soaring correlation coefficients, although these increases are lower, at approximately 10%.