Abstract
The past twelve years were punctuated by increasingly complex dynamics of the cross-market interdependence and two ``once-in-100-year'' global financial crises, including the 2020 financial contagion through increased physical contagion during the COVID-19 pandemic. This paper develops a non-linear financial contagion network via a dynamic mixture copula-EVT (extreme value theory) model to quantitatively detect and measure the complex nature of financial contagion. Considering the crisis transmission from both macroeconomic fundamentals and investor constraint perspectives, we identify and investigate the dynamics of transmission channels for both 2008 and 2020 financial crises. More specifically, we explore the wealth effect and portfolio rebalancing through the asymmetric tail contagion channels across 22 major emerging and developed stock markets and compare the differences between the two major crises. Moreover, motivated by the V-shape rebound in these two crises, we examine and find evidence that the transmission channels between the market melt-down and melt-up periods are different. Our findings shed new light on the dynamics of crisis transmission mechanisms across countries and provide important implications for international investors and policymakers.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.