COVID-19 pandemic and global financial market interlinkages: a dynamic temporal network analysis

Abstract

The present study investigates the changes in G20 stock market dynamics and their interlinkages in the aftermath of COVID-19. It utilizes the Detrended Cross-Correlation Analysis (DCCA) along with the network and complexity theories for detecting the contagion effect of the pandemic on the stock markets. We find that both advanced and emerging stock markets, departing from their pre crisis structures, form a tightly coupled close community after the disease outbreak – except for China that distanced itself from the rest of the cohort. This indicates that COVID-19 has caused contagion in the global equity market, which has increased the risk to international portfolio diversification benefits. The adoption of the Network theory for contagion detection technique augments the detailed understanding of the structural changes and their interlinkages among the stock markets in a more comprehensive way.