Some statistical properties of a vector autoregressive process with Markov-switching coefficients are considered+ Sufficient conditions for this nonlinear process to be covariance stationary are given+ The second moments of the process are derived under the conditions+ The autocovariance matrix decays at exponential rate, permitting the application of the law of large numbers+ Under the stationarity conditions, although sharing the "mean-reverting" property with conventional linear stationary processes, the process offers richer short-run dynamics such as conditional heteroskedasticity, asymmetric responses, and occasional nonstationary behavior
The coefficients of the moving average (MA) representation of a vector autoregressive (VAR) process ...
This dissertation consists of three chapters that contribute to different multivariate time series m...
We show that the covariance function of a second-order stationary vector Markov regime switching tim...
We show that the covariance function of a second-order stationary vector Markov regime switching tim...
As the correlation matrices of stationary vector processes are block Toeplitz, autoregressive (AR) v...
In this paper we develop a data-driven mixture of vector autoregressive models with exogenous compon...
This paper combines both Markov-switching and structural identifying restrictions in a vector autore...
We give stable finite-order vector autoregressive moving average (p*; q*) representations for M-stat...
This paper combines both Markov-switching and structural identifying restrictions in a vector autore...
We give stable finite-order vector autoregressive moving average (p*; q*) representations for M-stat...
We consider multivariate Markov switching first-order autoregression models with endogenous explanat...
We investigate the stability problem for a nonlinear autoregressive model with Markov switching. Fir...
It is argued that in structural vector autoregressive (SVAR) analysis a Markov regime switching (MS)...
AbstractIn this paper, we consider a class of nonlinear autoregressive (AR) processes with state-dep...
The present paper deals with reversibility of autoregressive processes of first order, namely AR(1)....
The coefficients of the moving average (MA) representation of a vector autoregressive (VAR) process ...
This dissertation consists of three chapters that contribute to different multivariate time series m...
We show that the covariance function of a second-order stationary vector Markov regime switching tim...
We show that the covariance function of a second-order stationary vector Markov regime switching tim...
As the correlation matrices of stationary vector processes are block Toeplitz, autoregressive (AR) v...
In this paper we develop a data-driven mixture of vector autoregressive models with exogenous compon...
This paper combines both Markov-switching and structural identifying restrictions in a vector autore...
We give stable finite-order vector autoregressive moving average (p*; q*) representations for M-stat...
This paper combines both Markov-switching and structural identifying restrictions in a vector autore...
We give stable finite-order vector autoregressive moving average (p*; q*) representations for M-stat...
We consider multivariate Markov switching first-order autoregression models with endogenous explanat...
We investigate the stability problem for a nonlinear autoregressive model with Markov switching. Fir...
It is argued that in structural vector autoregressive (SVAR) analysis a Markov regime switching (MS)...
AbstractIn this paper, we consider a class of nonlinear autoregressive (AR) processes with state-dep...
The present paper deals with reversibility of autoregressive processes of first order, namely AR(1)....
The coefficients of the moving average (MA) representation of a vector autoregressive (VAR) process ...
This dissertation consists of three chapters that contribute to different multivariate time series m...
We show that the covariance function of a second-order stationary vector Markov regime switching tim...