Time varying correlations are often estimated with multivariate generalized autoregressive conditional heteroskedasticity (GARCH) models that are linear in squares and cross products of the data. A ...

Recently a flexible class of semiparametric copula-based multivariate GARCH models has been proposed to quantify multivariate risks, in which univariate GARCH models are used to capture the dynamics ...