Quasi-maximum likelihood estimation of periodic GARCH processes

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

This paper establishes the strong consistency and asymptotic normality of the quasi-maximum likelihood estimator (QMLE) for a GARCH process with periodically time-varying parameters. We first give a necessary and sufficient condition for the existence of a strictly periodically stationary solution for the periodic GARCH (P-GARCH) equation. As a result, it is shown that the moment of some positive order of the P-GARCH solution is finite, under which we prove the strong consistency and asymptotic normality (CAN) of the QMLE without any condition on the moments of the underlying process.
19 pages

Keywords

Statistics Theory, Probability, Methodology, 62F12 (Primary) 62M10, 91B84 (Secondary)

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/138340

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0709.2982
 http://arxiv.org/abs/0709.2982

Collections

arXiv