We introduce a copula-based dynamic model for multivariate processes of (non-negative) high-frequency trading variables revealing time-varying conditional variances and correlations. Modeling the variables' conditional mean processes using a multiplicative error model we map the resulting...

In this paper a multivariate dynamic conditional correlation (DCC) general autoregressive conditional heteroskedasticity (GARCH) framework is employed to study dynamics of sectoral comovement across manufacturing sectors both in Germany and in the United States. Asymmetric effects both in...