Pseudo-maximum likelihood estimation of ARCH$(\infty)$ models

dc.creatorRobinson, Peter M.
dc.creatorZaffaroni, Paolo
dc.date2006-07-31
dc.date.accessioned2026-07-07T08:08:03Z
dc.date.available2026-07-07T08:08:03Z
dc.descriptionStrong consistency and asymptotic normality of the Gaussian pseudo-maximum likelihood estimate of the parameters in a wide class of ARCH$(\infty)$ processes are established. The conditions are shown to hold in case of exponential and hyperbolic decay in the ARCH weights, though in the latter case a faster decay rate is required for the central limit theorem than for the law of large numbers. Particular parameterizations are discussed.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053606000000245 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0607798
dc.identifierhttp://arxiv.org/abs/math/0607798
dc.identifierAnnals of Statistics 2006, Vol. 34, No. 3, 1049-1074
dc.identifierdoi:10.1214/009053606000000245
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131130
dc.subjectStatistics Theory
dc.subject62M10 (Primary) 62F12 (Secondary)
dc.titlePseudo-maximum likelihood estimation of ARCH$(\infty)$ models
dc.typetext

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