Arbeitspapier

Asymptotic theory for a vector ARMA-GARCH model

This paper investigates the asymptotic theory for a vector ARMA-GARCH model. The conditions for the strict stationarity, ergodicity, and the higherorder moments of the model are established. Consistency of the quasi-maximum likelihood estimator (QMLE) is proved under only the second-order moment condition. This consistency result is new, even for the univariate ARCH and GARCH models. Moreover, the asymptotic normality of the QMLE for the vector ARCH model is obtained under only the second-order moment of the unconditional errors, and the finite fourth-order moment of the conditional errors. Under additional moment conditions, the asymptotic normality of the QMLE is also obtained for the vector ARMA-ARCH and ARMA-GARCH models, as well as a consistent estimator of the asymptotic covariance.

Sprache
Englisch

Erschienen in
Series: ISER Discussion Paper ; No. 549

Klassifikation
Wirtschaft
Thema
ARCH-Modell
Theorie
Heteroskedastizität

Ereignis
Geistige Schöpfung
(wer)
Ling, Shiqing
MacAleer, Michael
Ereignis
Veröffentlichung
(wer)
Osaka University, Institute of Social and Economic Research (ISER)
(wo)
Osaka
(wann)
2001

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Ling, Shiqing
  • MacAleer, Michael
  • Osaka University, Institute of Social and Economic Research (ISER)

Entstanden

  • 2001

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