The aim of this paper is to present some statistical aspects of an order 1 autoregressive model with errors following a stationary and ergodic generalized threshold ARCH process. So, to analyse the precision of forecasts obtained with these models a probabilistic study will be done. Moreover, a consistent test for a general AR(1) model with errors following an ergodic white noise of null conditional median will be developed and adapted to our stochastic process.http://www.sciencedirect.com/science/article/B6V0M-3TC1T93-C/1/694001612cba7b15d95743329e50d8a
This paper addresses the null distribution of the Lagrange-multiplier statistic for the threshold au...
Nonlinear time series models, especially those with regime-switching and conditionally heteroskedast...
The recent paper by Ling and Tong (2005) considered a quasi-likelihood ratio test for the threshold ...
The aim of this paper is to present some statistical aspects of an order 1 autoregressive model with...
The aim of this paper is to present some statistical aspects of an order 1 autoregressive model with...
This dissertation concerns theoretical and empirical aspects of a class of conditionally heteroskeda...
This paper studies the stability of nonlinear autoregressive models with conditionally heteroskedast...
textabstractNonlinear time series models, especially those with regime-switching and conditionally h...
The AR-ARCH and AR-GARCH models, which allow for conditional heteroskedasticity and autoregression, ...
In this paper, we extend the classical idea of Rank estimation of parameters from homoscedastic prob...
A natural generalization of the ARCH (Autoregressive Conditional Heteroskedastic) process introduced...
Abstract: The testing problem for the hypothesis of linearity against the double threshold autoregre...
We study in this dissertation Generalized Autoregressive Conditionally Heteroskedastic (GARCH) time ...
We establish the geometric ergodicity for general stochastic functional autoregressive (linear and n...
This paper reviews the literature on GARCH-type models proposed to represent the dynamic evolution o...
This paper addresses the null distribution of the Lagrange-multiplier statistic for the threshold au...
Nonlinear time series models, especially those with regime-switching and conditionally heteroskedast...
The recent paper by Ling and Tong (2005) considered a quasi-likelihood ratio test for the threshold ...
The aim of this paper is to present some statistical aspects of an order 1 autoregressive model with...
The aim of this paper is to present some statistical aspects of an order 1 autoregressive model with...
This dissertation concerns theoretical and empirical aspects of a class of conditionally heteroskeda...
This paper studies the stability of nonlinear autoregressive models with conditionally heteroskedast...
textabstractNonlinear time series models, especially those with regime-switching and conditionally h...
The AR-ARCH and AR-GARCH models, which allow for conditional heteroskedasticity and autoregression, ...
In this paper, we extend the classical idea of Rank estimation of parameters from homoscedastic prob...
A natural generalization of the ARCH (Autoregressive Conditional Heteroskedastic) process introduced...
Abstract: The testing problem for the hypothesis of linearity against the double threshold autoregre...
We study in this dissertation Generalized Autoregressive Conditionally Heteroskedastic (GARCH) time ...
We establish the geometric ergodicity for general stochastic functional autoregressive (linear and n...
This paper reviews the literature on GARCH-type models proposed to represent the dynamic evolution o...
This paper addresses the null distribution of the Lagrange-multiplier statistic for the threshold au...
Nonlinear time series models, especially those with regime-switching and conditionally heteroskedast...
The recent paper by Ling and Tong (2005) considered a quasi-likelihood ratio test for the threshold ...