We show that the characterization of the strict stationarity domain for a [delta]-power stable Garch model obtained in Mittnik et al. [2002. Stationarity of stable power-GARCH processes. J. Econometrics 106, 97-107] can be extended to general innovations, regardless of the existence of their [delta]-moments. We prove some general properties of these domains and analyze some cases particularly relevant in applicationsPower Garch models Strict and weak stationarity [alpha]-stable distributions Heavy tails distributions
A fast method for estimating the parameters of a stable-APARCH not requiring likelihood or iteration...
The focus of this paper is the use of stable distributions for GARCH models. Such models are applied...
This note establishes stationarity of a number of stochastic processes of interest in the study of T...
We present conditions for strict stationarity of power-GARCH processes whose innovations are describ...
This paper investigates some structural properties of a family of GARCH processes. A simple sufficie...
Consider a class of power transformed and threshold GARCH(p,q) (PTTGRACH(p,q)) model, which is a nat...
This paper investigates some structural properties of a family of GARCH processes. A simple sufficie...
AbstractGeneralized autoregressive conditional heteroskedasticity (GARCH) models having normal or St...
We show that the finite-dimensional distributions of a GARCH process are regularly varying, i.e., th...
During the past several years heavy-tailed phenomena have attracted the interest of researchers in t...
We consider the estimation of general power GARCH models with stable– Paretian innovations. Exploit...
A natural generalization of the first-order GARCH processes family introduced in 1999 to allow for h...
AbstractWe show that the finite-dimensional distributions of a GARCH process are regularly varying, ...
This paper considers the statistical inference of the class of asymmetric power-transformed GARCH(1...
It is generally admitted that many financial time series have heavy tailed marginal distributions. W...
A fast method for estimating the parameters of a stable-APARCH not requiring likelihood or iteration...
The focus of this paper is the use of stable distributions for GARCH models. Such models are applied...
This note establishes stationarity of a number of stochastic processes of interest in the study of T...
We present conditions for strict stationarity of power-GARCH processes whose innovations are describ...
This paper investigates some structural properties of a family of GARCH processes. A simple sufficie...
Consider a class of power transformed and threshold GARCH(p,q) (PTTGRACH(p,q)) model, which is a nat...
This paper investigates some structural properties of a family of GARCH processes. A simple sufficie...
AbstractGeneralized autoregressive conditional heteroskedasticity (GARCH) models having normal or St...
We show that the finite-dimensional distributions of a GARCH process are regularly varying, i.e., th...
During the past several years heavy-tailed phenomena have attracted the interest of researchers in t...
We consider the estimation of general power GARCH models with stable– Paretian innovations. Exploit...
A natural generalization of the first-order GARCH processes family introduced in 1999 to allow for h...
AbstractWe show that the finite-dimensional distributions of a GARCH process are regularly varying, ...
This paper considers the statistical inference of the class of asymmetric power-transformed GARCH(1...
It is generally admitted that many financial time series have heavy tailed marginal distributions. W...
A fast method for estimating the parameters of a stable-APARCH not requiring likelihood or iteration...
The focus of this paper is the use of stable distributions for GARCH models. Such models are applied...
This note establishes stationarity of a number of stochastic processes of interest in the study of T...