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We study the strong consistency and asymptotic normality of the maximum likelihood estimator for a class of time series … processes. We formulate primitive conditions for global identification, invertibility, strong consistency, and asymptotic …
Persistent link: https://www.econbiz.de/10010250505
normality ; consistency ; polynomial augmented GARCH models ; quasi-maximum likelihood estimation …In this article consistency and asymptotic normality of the quasi-maximum likelihood esti- mator (QMLE) in the class of … introduced by (Duan, 1997) which contains many commonly employed GARCH models as special cases. The conditions for consistency …
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This note is concerned with estimating censored quantile regressions (CQR). As its major contribution, a' new algorithm, called BRCENS, is developed as an adaption of the Barrodale-Roberts algorithm for the standard quantile regression problem. In a subsequent simulation study, BRCENS performs...
Persistent link: https://www.econbiz.de/10009542191
In this article, consistency and asymptotic normality of the quasi-maximum likelihood estimator (QMLE) in the class of … GARCH models as special cases. The results are obtained under mild conditions. -- Asymptotic normality ; consistency … ; polynomial augmented GARCH models ; quasi- maximum likelihood estimation …
Persistent link: https://www.econbiz.de/10009738169
the data generated by our model. Furthermore, we obtain the consistency and asymptotic normality of the maximum likelihood …
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