International audienceStrong consistency and asymptotic normality of the Quasi-Maximum Likelihood Estimator (QMLE) are given for a general class of multidimensional causal processes. For particular cases already studied in the literature (for instance univariate or multivariate GARCH, ARCH, ARMA-GARCH processes) the assumptions required for establishing these results are often weaker than existing conditions. The QMLE asymptotic behavior is also given for numerous new examples of univariate or multivariate processes (for instance TARCH or NLARCH processes)
This paper derives asymptotic normality of a class of M-estimators in the generalized autoregressive...
AbstractThe asymptotic distribution of the quasi-maximum likelihood (QML) estimator is established f...
International audienceWe prove the consistency and asymptotic normality of the Laplacian Quasi-Maxim...
International audienceStrong consistency and asymptotic normality of the Quasi-Maximum Likelihood Es...
2010 Mathematics Subject Classification: 62F12, 62M05, 62M09, 62M10, 60G42.Let {Zn}n∈N be a real sto...
AbstractWe provide in this paper asymptotic theory for the multivariate GARCH(p,q) process. Strong c...
We introduce a smoothed version of the quasi maximum likelihood estimator (QMLE) in order to fit het...
We establish the strong consistency and asymptotic normality of the quasi-maximum likelihood estimat...
The asymptotic distribution of the Gaussian quasi-maximum likelihood estimator (QMLE) is obtained fo...
Generalized autoregressive conditional heteroscedasticity (GARCH) models are widely used in financia...
The asymptotic properties of the quasi-maximum likelihood estimator (QMLE) of vector autoregressive ...
In this paper we derive the asymptotic distribution of a new class of quasi-maximum likelihood estim...
This paper considers a class of finite-order autoregressive linear ARCH models. The model captures ...
We examine the Gaussian quasi-maximum likelihood estimator (QMLE) for random coefficient autoregress...
We consider a stable Cox–Ingersoll–Ross process driven by a standard Wiener process and a spectrally...
This paper derives asymptotic normality of a class of M-estimators in the generalized autoregressive...
AbstractThe asymptotic distribution of the quasi-maximum likelihood (QML) estimator is established f...
International audienceWe prove the consistency and asymptotic normality of the Laplacian Quasi-Maxim...
International audienceStrong consistency and asymptotic normality of the Quasi-Maximum Likelihood Es...
2010 Mathematics Subject Classification: 62F12, 62M05, 62M09, 62M10, 60G42.Let {Zn}n∈N be a real sto...
AbstractWe provide in this paper asymptotic theory for the multivariate GARCH(p,q) process. Strong c...
We introduce a smoothed version of the quasi maximum likelihood estimator (QMLE) in order to fit het...
We establish the strong consistency and asymptotic normality of the quasi-maximum likelihood estimat...
The asymptotic distribution of the Gaussian quasi-maximum likelihood estimator (QMLE) is obtained fo...
Generalized autoregressive conditional heteroscedasticity (GARCH) models are widely used in financia...
The asymptotic properties of the quasi-maximum likelihood estimator (QMLE) of vector autoregressive ...
In this paper we derive the asymptotic distribution of a new class of quasi-maximum likelihood estim...
This paper considers a class of finite-order autoregressive linear ARCH models. The model captures ...
We examine the Gaussian quasi-maximum likelihood estimator (QMLE) for random coefficient autoregress...
We consider a stable Cox–Ingersoll–Ross process driven by a standard Wiener process and a spectrally...
This paper derives asymptotic normality of a class of M-estimators in the generalized autoregressive...
AbstractThe asymptotic distribution of the quasi-maximum likelihood (QML) estimator is established f...
International audienceWe prove the consistency and asymptotic normality of the Laplacian Quasi-Maxim...