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Persistent link: https://www.econbiz.de/10012496404
In this article consistency and asymptotic normality of the quasi-maximum likelihood esti- mator (QMLE) in the class of polynomial augmented generalized autoregressive conditional heteroscedasticity models (GARCH) is proven. The result extend the results of (Berkes et al., 2003) and (Francq and...
Persistent link: https://www.econbiz.de/10009725214
This paper considers a class of semiparametric models being the sum of a non-parametric trend function g and a FARIMA-GARCH error process. Estimation of ĝ (v), the vth derivative of g, by local polynomial fitting is investigated. The focus is on the derivation of the asymptotic normality of ĝ...
Persistent link: https://www.econbiz.de/10011544427
This paper derives the statistical properties of a two-step approach to estimating multivariate rotated GARCH-BEKK (RBEKK) models. From the definition of RBEKK, the unconditional covariance matrix is estimated in the first step to rotate the observed variables in order to have the identity...
Persistent link: https://www.econbiz.de/10012547429
Persistent link: https://www.econbiz.de/10013260190
In this article, consistency and asymptotic normality of the quasi-maximum likelihood estimator (QMLE) in the class of polynomial augmented generalized autoregressive conditional heteroscedasticity models (GARCH) is proven. The result extends the results of the standard GARCH model to the class...
Persistent link: https://www.econbiz.de/10009738169
Persistent link: https://www.econbiz.de/10011990826
Persistent link: https://www.econbiz.de/10011944097
Persistent link: https://www.econbiz.de/10011757387