The aim of this paper is to present some statistical aspects of an order 1 autoregressive model with errors following a stationary and ergodic generalised 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 applied to our stochastic processesAvailable from Departamento de Matematica, Universidade de Coimbra, 3000 Coimbra, Portugal / FCT - Fundação para o Ciência e a TecnologiaSIGLEPTPortuga
A natural generalization of the ARCH (Autoregressive Conditional Heteroskedastic) process introduced...
Nonlinear time series models, especially those with regime-switching and conditionally heteroskedast...
This paper addresses the null distribution of the Lagrange-multiplier statistic for the threshold au...
The aim of this paper is to present some statistical aspects of an order 1 autoregressive model with...
This paper studies the stability of nonlinear autoregressive models with conditionally heteroskedast...
The AR-ARCH and AR-GARCH models, which allow for conditional heteroskedasticity and autoregression, ...
This paper studies the stability of nonlinear autoregressive models with conditionally heteroskedast...
For the pth-order linear ARCH model, , where [alpha]0 > 0, [alpha]i [greater-or-equal, slanted] 0, I...
textabstractNonlinear time series models, especially those with regime-switching and conditionally h...
In this paper it is shown that the popular Autoregressive Conditional Heteroscedasticity (ARCH) mode...
This dissertation concerns theoretical and empirical aspects of a class of conditionally heteroskeda...
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditi...
Abstract: The testing problem for the hypothesis of linearity against the double threshold autoregre...
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with condit...
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditi...
A natural generalization of the ARCH (Autoregressive Conditional Heteroskedastic) process introduced...
Nonlinear time series models, especially those with regime-switching and conditionally heteroskedast...
This paper addresses the null distribution of the Lagrange-multiplier statistic for the threshold au...
The aim of this paper is to present some statistical aspects of an order 1 autoregressive model with...
This paper studies the stability of nonlinear autoregressive models with conditionally heteroskedast...
The AR-ARCH and AR-GARCH models, which allow for conditional heteroskedasticity and autoregression, ...
This paper studies the stability of nonlinear autoregressive models with conditionally heteroskedast...
For the pth-order linear ARCH model, , where [alpha]0 > 0, [alpha]i [greater-or-equal, slanted] 0, I...
textabstractNonlinear time series models, especially those with regime-switching and conditionally h...
In this paper it is shown that the popular Autoregressive Conditional Heteroscedasticity (ARCH) mode...
This dissertation concerns theoretical and empirical aspects of a class of conditionally heteroskeda...
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditi...
Abstract: The testing problem for the hypothesis of linearity against the double threshold autoregre...
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with condit...
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditi...
A natural generalization of the ARCH (Autoregressive Conditional Heteroskedastic) process introduced...
Nonlinear time series models, especially those with regime-switching and conditionally heteroskedast...
This paper addresses the null distribution of the Lagrange-multiplier statistic for the threshold au...