In this research, we employ three two-parameter Archimedean copulas (BB1, BB4 and BB7) to investigate the dynamic asymmetric tail dependences between two of three Asian developed futures markets, Hong Kong, Japan and Singapore, during the post-Asian financial crisis period. We first model the...

This study sets up a model which assumes a conditional skewed-t distribution for returns on four of China's stock price indexes (Shanghai A, Shanghai B, Shenzhen A and Shenzhen B). We employ Chen and Fan's (2004) pseudo-Wald test via the copula approach to evaluate both in- and out-of-sample...

In assessing tail-related risks in Asian equity markets, we blend the GPD model with the GARCH one. This approach enables us to reveal that innovations after volatility filtering may still remain heavy-tailed or involve tail-related risk that cannot be captured by the GARCH-type model alone. Our...