ABSTRACT. In this paper we derive quasi-maximum likelihood estimators for the parameters of the threshold autoregressive moving average process (TARMA). After the presentation of the model, we discuss some property that makes this model of interest in most empirical domains. The derivation of the estimators is proposed in details and computational issues are examined in a simulation study.

Quasi-maximum likelihood estimators for Threshold ARMA models: theoretical results and computational issues

NIGLIO, Marcella;VITALE, Cosimo Damiano
2010-01-01

Abstract

ABSTRACT. In this paper we derive quasi-maximum likelihood estimators for the parameters of the threshold autoregressive moving average process (TARMA). After the presentation of the model, we discuss some property that makes this model of interest in most empirical domains. The derivation of the estimators is proposed in details and computational issues are examined in a simulation study.
2010
9783790826036
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/3015189
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact