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Dynamic Asymmetric GARCH

Dynamic Asymmetric GARCH This article develops the dynamic asymmetric GARCH (or DAGARCH) model that generalizes asymmetric GARCH models such as that of Glosten, Jagannathan, and Runkle (GJR), introduces multiple thresholds, and makes the asymmetric effect time dependent. We provide the stationarity conditions for the DAGARCH model and show how GJR can be obtained as a special case. Furthermore, we derive the news impact curve implied by the DAGARCH model and demonstrate its flexibility. An application to daily stock market indices is presented to demonstrate the practical usefulness of the new model. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Financial Econometrics Oxford University Press

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References (19)

Publisher
Oxford University Press
Copyright
© Published by Oxford University Press.
ISSN
1479-8409
eISSN
1479-8417
DOI
10.1093/jjfinec/nbj011
Publisher site
See Article on Publisher Site

Abstract

This article develops the dynamic asymmetric GARCH (or DAGARCH) model that generalizes asymmetric GARCH models such as that of Glosten, Jagannathan, and Runkle (GJR), introduces multiple thresholds, and makes the asymmetric effect time dependent. We provide the stationarity conditions for the DAGARCH model and show how GJR can be obtained as a special case. Furthermore, we derive the news impact curve implied by the DAGARCH model and demonstrate its flexibility. An application to daily stock market indices is presented to demonstrate the practical usefulness of the new model.

Journal

Journal of Financial EconometricsOxford University Press

Published: Apr 12, 2006

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