In his seminal paper, Brooks argues that the relation between return volatility and trading volume can be both linear and nonlinear. Adopting both linear and nonlinear Granger causality tests, he shows that there exists both linear and nonlinear bi-directional causality between trading volumes...

This paper uses linear and nonlinear Granger causality tests to study information transmission among stock markets of Greater China. In sharp contrast to the results disclosed by its linear counterpart, a nonlinear causality test provides evidence of isolated bi-directional causal relations...

This study adopts the Markov-switching ARCH (hereafter SWARCH) model to examine the volatility nature and volatility linkages of four segmented Chinese stock indices (SHA, SZA, SHB, and SZB). Our empirical findings are consistent with the following notions. First, we find strong evidence of...