Stationarity and geometric ergodicity of a class of nonlinear ARCH models

dc.creatorSa\"{ı}di, Youssef
dc.creatorZako\"{ı}an, Jean-Michel
dc.date2007-02-14
dc.date.accessioned2026-07-07T07:46:54Z
dc.date.available2026-07-07T07:46:54Z
dc.descriptionA class of nonlinear ARCH processes is introduced and studied. The existence of a strictly stationary and $β$-mixing solution is established under a mild assumption on the density of the underlying independent process. We give sufficient conditions for the existence of moments. The analysis relies on Markov chain theory. The model generalizes some important features of standard ARCH models and is amenable to further analysis.
dc.descriptionPublished at http://dx.doi.org/10.1214/105051606000000565 in the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0702419
dc.identifierhttp://arxiv.org/abs/math/0702419
dc.identifierAnnals of Applied Probability 2006, Vol. 16, No. 4, 2256-2271
dc.identifierdoi:10.1214/105051606000000565
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/123982
dc.subjectProbability
dc.subject60G10, 60J05 (Primary) 62M10, 91B84 (Secondary)
dc.titleStationarity and geometric ergodicity of a class of nonlinear ARCH models
dc.typetext

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