Regular variation and related results for the multivariate GARCH (p, q) model with constant conditional correlations


Por: Fernandez, B, Muriel, N

Publicada: 1 ago 2009
Resumen:
We establish the regular variation of the finite dimensional distributions of the multivariate GARCH(p, q) process with constant conditional correlations under mild assumptions on the noise distribution. We use this property for two main purposes: First, to describe the componentwise-maximum domain of attraction in which the process lies; and second, to relate the asymptotic behavior of the sample autocovariance function of the process to its regular variation index. (c) 2009 Elsevier Inc. All rights reserved.

Filiaciones:
Fernandez, B:
 Univ Nacl Autonoma Mexico, Fac Ciencias, Mexico City 04510, DF, Mexico

Muriel, N:
 Univ Nacl Autonoma Mexico, Fac Ciencias, Mexico City 04510, DF, Mexico
ISSN: 0047259X





JOURNAL OF MULTIVARIATE ANALYSIS
Editorial
ELSEVIER INC, 525 B STREET, STE 1900, SAN DIEGO, CA 92101-4495 USA, Estados Unidos America
Tipo de documento: Article
Volumen: 100 Número: 7
Páginas: 1538-1550
WOS Id: 000265805700015