There is increasing demand for models of time-varying and non-Gaussian dependencies for mul- tivariate time-series. Available models suffer from the curse of dimensionality or restrictive assumptions on the parameters and the distribution. A promising class of models are the hierarchical...

In this paper, we use the skewed t copula with a DCC (Dynamic Conditional Correlation) model to capture the time-varying asymmetric tail dependence among MSCI US, Europe and Emerging markets. The empirical results show that it is important to take account of asymmetric tail dependence when...