Strict stationarity of Poisson integer-valued ARCH processes of order infinity

Segnon, Mawuli

Arbeitspapier / Working Paper | Peer reviewed

Zusammenfassung

This paper establishes necessary and sufficient conditions for the existence of a unique strictly stationary and ergodic solution for integer-valued autoregressive conditional heteroscedasticity (INARCH) processes. We also provide conditions that guarantee existence of higher order moments. The results apply to integer-valued GARCH model, and its long-memory versions with hyperbolically decaying coefficients and turn out to be instrumental on deriving large sample properties of the maximum likelihood estimators of the model parameters.

Details zur Publikation

Herausgeber*innenCenter for Quantitative Economics (CQE)
ErscheinungsortUniversity of Muenster
Titel der ReiheCQE Working Papers
Nr. in Reihe102/2022
StatusVeröffentlicht
Veröffentlichungsjahr2022 (14.12.2022)
Sprache, in der die Publikation verfasst istEnglisch
Link zum Volltexthttps://www.wiwi.uni-muenster.de/cqe/de/publikationen/cqe-working-papers
StichwörterINARCH processes; Stationarity; Ergodicity; Lyapunov exponent; Maximum likelihood estimation

Autor*innen der Universität Münster

Segnon, Mawuli Kouami
Professur für Volkswirtschaftslehre, empirische Wirtschaftsforschung (Prof. Wilfling)