Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Can GARCH Models Capture Long-Range Dependence?
Journal article

Can GARCH Models Capture Long-Range Dependence?

Abstract

This paper investigates if component GARCH models introduced by Engle and Lee(1999) and Ding and Granger(1996) can capture the long-range dependence observed in measures of time-series volatility. Long-range dependence is assessed through the sample autocorrelations, two popular semiparametric estimators of the long-memory parameter, and the parametric fractionally integrated GARCH (FIGARCH) model. Monte Carlo methods are used to characterize …

Authors

Maheu J

Journal

Studies in Nonlinear Dynamics & Econometrics, Vol. 9, No. 4,

Publisher

De Gruyter

DOI

10.2202/1558-3708.1269

ISSN

1081-1826