Periodic stationarity conditions for mixture periodic INGARCH models

This paper proposes strict periodic stationarity and periodic ergodicity conditions for a finite mixture integer-valued GARCH model with S-periodic time-varying parameters that depend on the state of an independent and periodically distributed regime sequence. In this model, the past conditional mea...

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Main Author: Bader S. Almohaimeed
Format: Article
Language:English
Published: AIMS Press 2022-03-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2022546?viewType=HTML
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author Bader S. Almohaimeed
author_facet Bader S. Almohaimeed
author_sort Bader S. Almohaimeed
collection DOAJ
description This paper proposes strict periodic stationarity and periodic ergodicity conditions for a finite mixture integer-valued GARCH model with S-periodic time-varying parameters that depend on the state of an independent and periodically distributed regime sequence. In this model, the past conditional mean values depend on the past of the regime variable in the same order, so the model is characterized by path-regime dependence. We also propose sufficient conditions for periodic stationarity when the conditional means are nonlinear of past observations. The results are applied to various discrete conditional distributions.
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spelling doaj.art-cf9303d93a9e4b59baf13ea4efd3cb9b2022-12-22T02:50:23ZengAIMS PressAIMS Mathematics2473-69882022-03-01769809982410.3934/math.2022546Periodic stationarity conditions for mixture periodic INGARCH modelsBader S. Almohaimeed0Department of Mathematics, College of Science, Qassim University, Saudi ArabiaThis paper proposes strict periodic stationarity and periodic ergodicity conditions for a finite mixture integer-valued GARCH model with S-periodic time-varying parameters that depend on the state of an independent and periodically distributed regime sequence. In this model, the past conditional mean values depend on the past of the regime variable in the same order, so the model is characterized by path-regime dependence. We also propose sufficient conditions for periodic stationarity when the conditional means are nonlinear of past observations. The results are applied to various discrete conditional distributions.https://www.aimspress.com/article/doi/10.3934/math.2022546?viewType=HTMLinteger-valued time series modelsfinite mixture modelsperiodic time-varying modelsergodic propertiespath dependence
spellingShingle Bader S. Almohaimeed
Periodic stationarity conditions for mixture periodic INGARCH models
AIMS Mathematics
integer-valued time series models
finite mixture models
periodic time-varying models
ergodic properties
path dependence
title Periodic stationarity conditions for mixture periodic INGARCH models
title_full Periodic stationarity conditions for mixture periodic INGARCH models
title_fullStr Periodic stationarity conditions for mixture periodic INGARCH models
title_full_unstemmed Periodic stationarity conditions for mixture periodic INGARCH models
title_short Periodic stationarity conditions for mixture periodic INGARCH models
title_sort periodic stationarity conditions for mixture periodic ingarch models
topic integer-valued time series models
finite mixture models
periodic time-varying models
ergodic properties
path dependence
url https://www.aimspress.com/article/doi/10.3934/math.2022546?viewType=HTML
work_keys_str_mv AT badersalmohaimeed periodicstationarityconditionsformixtureperiodicingarchmodels