The specification of vector autoregressive moving average models


Autoria(s): Koreisha, Sergio G.; Pukkila, Tarmo
Contribuinte(s)

R. Krutchkoff

Data(s)

01/01/2004

Resumo

In this paper we propose a new identification method based on the residual white noise autoregressive criterion (Pukkila et al. , 1990) to select the order of VARMA structures. Results from extensive simulation experiments based on different model structures with varying number of observations and number of component series are used to demonstrate the performance of this new procedure. We also use economic and business data to compare the model structures selected by this order selection method with those identified in other published studies.

Identificador

http://espace.library.uq.edu.au/view/UQ:69546

Idioma(s)

eng

Publicador

Gordon and Breach Science Publishers.

Palavras-Chave #Computer Science, Interdisciplinary Applications #Statistics & Probability #Autoregressions #Generalized Least Squares Estimation #Identification #Multivariate White Noise #Order Determination #Polynomial-matrices #Nonzero Elements #Time-series #C1 #230203 Statistical Theory #729999 Economic issues not elsewhere classified
Tipo

Journal Article