Asymptotic Normality of Parametric Estimators of Markov Chain Vector Dependence Models

We consider an alternative approach based on copulas to investigate dependence structures of stationary Markov type time series vector. Based on the properties of parametric estimators of the 2SPMLE, we propose a method of parametric estimation of three-stage pseudo maximum likelihood estimation and investigate the asymptotic normality of parametric estimators.