A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model With Time-Varying Correlations
具有时变相关性的多元广义自回归条件异方差模型
In this article we propose a new multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) model with time-varying correlations. We adopt the vech representation based on the conditional variances and the conditional correlations. Whereas each conditional-variance term is assumed to follow a univariate GARCH formulation, the conditional-correlation matrix is postulated to follow an autoregressive moving average type of analog. Our new model retains the…