This paper investigates the maximum likelihood estimator (MLE) of structure-changed ARMA-GARCH models. The convergent rates of the estimated change-point and other estimated parameters axe obtained. After suitably normalized, it is shown that the estimated change-point has the same asymptotic distribution as that in Picard(1985) and Yao(1987). Other estimated parameters are shown to be asymptotically normal. As special cases, we obtain the asymptotic distributions of MLEs for structure-changed GARCH models, structure-changed ARMA models with structure-unchanged GARCH errors, and structure-changed ARMA models with i.i.d. errors, respectively
In this paper we study high moment partial sum processes based on residuals of a stationary ARMA mod...
Regime Switching models, especially Markov switching models, are regarded as a promising way to capt...
Regime-switching GARCH (generalized autoregressive conditionally heteroscedastic) model incorporates...
This paper investigates the maximum likelihood estimator (MLE) of structure-changed ARMA-GARCH model...
Abstract This paper first develops a general theory for estimating change-points in a general class ...
The instability of volatility parameters in GARCH models is an important issue for analyzing financi...
The regime-switching GARCH model combines the idea of Markov switching and GARCH model, which also e...
This thesis studied the change point problem under the contiguous setup. Specifically when the amoun...
AbstractFor observations from an auto-regressive moving-average process on any number of dimensions,...
Models with multiple change points are used in many fields; however, the theoreti-cal properties of ...
We consider maximum likelihood estimation of a particular noninvertible ARMA model with autoregressi...
AbstractThe asymptotic properties of maximum likelihood estimates of a vector ARMAX system are consi...
This paper investigates the asymptotic theory for a vector ARMA-GARCH model. The conditions for the ...
In this paper we derive the asymptotic properties of the least squares estimator (LSE) of autoregres...
GARCH models are used to describe the volatility of time series. GARCH processes are usually estimat...
In this paper we study high moment partial sum processes based on residuals of a stationary ARMA mod...
Regime Switching models, especially Markov switching models, are regarded as a promising way to capt...
Regime-switching GARCH (generalized autoregressive conditionally heteroscedastic) model incorporates...
This paper investigates the maximum likelihood estimator (MLE) of structure-changed ARMA-GARCH model...
Abstract This paper first develops a general theory for estimating change-points in a general class ...
The instability of volatility parameters in GARCH models is an important issue for analyzing financi...
The regime-switching GARCH model combines the idea of Markov switching and GARCH model, which also e...
This thesis studied the change point problem under the contiguous setup. Specifically when the amoun...
AbstractFor observations from an auto-regressive moving-average process on any number of dimensions,...
Models with multiple change points are used in many fields; however, the theoreti-cal properties of ...
We consider maximum likelihood estimation of a particular noninvertible ARMA model with autoregressi...
AbstractThe asymptotic properties of maximum likelihood estimates of a vector ARMAX system are consi...
This paper investigates the asymptotic theory for a vector ARMA-GARCH model. The conditions for the ...
In this paper we derive the asymptotic properties of the least squares estimator (LSE) of autoregres...
GARCH models are used to describe the volatility of time series. GARCH processes are usually estimat...
In this paper we study high moment partial sum processes based on residuals of a stationary ARMA mod...
Regime Switching models, especially Markov switching models, are regarded as a promising way to capt...
Regime-switching GARCH (generalized autoregressive conditionally heteroscedastic) model incorporates...