This paper examines the presence of a contagion effect between Chinese and G20 stock markets as well as its intensity over a recent period from 1st January 2013 to 7 April 2022. The empirical study is conducted using the time-varying copula approach. The obtained results show strong evidence of...

In this study, we propose a wavelet-copula-GARCH procedure to investigate the occurrence of cross-market linkages during the COVID-19 pandemic. To explore cross-market linkages, we distinguish between regular interdependence and pure contagion, and associate changes in the correlation between...

In this study, we examine the influence of the COVID-19 pandemic on stock market contagion. Empirical analysis is conducted on six major stock markets using a wavelet-copula GARCH approach to account for both the time and the frequency aspects of stock market correlation. We find strong evidence...