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...

Using a generalized vector autoregressive framework in which forecast-error variance decompositions are invariant to variable ordering, we propose measures of both total and directional volatility spillovers. We use our methods to characterize daily volatility spillovers across U.S. stock, bond,...

We characterize asset return linkages during periods of stress by an extremal dependence measure. Contrary to correlation analysis, this nonparametric measure is not predisposed toward the normal distribution and can allow for nonlinear relationships. Our estimates for the G-5 countries suggest...

Motivated by the complex dynamics between the oil and stock markets, this study develops a dynamic Markov regime switching-copula-extreme value theory (MRS-copula-EVT) model to quantitatively investigate financial contagion and its characteristics between these two markets. The proposed model,...