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M. McAleer, F. Chan, D. Marinova (2007)
An econometric analysis of asymmetric volatility : Theory and application to patentsJournal of Econometrics, 139
Changli He, T. Teräsvirta (1999)
FOURTH MOMENT STRUCTURE OF THE GARCH(p,q) PROCESSEconometric Theory, 15
S. Ling, M. McAleer (2002)
Stationarity and the existence of moments of a family of GARCH processesJournal of Econometrics, 106
Stefano Mazzotta (2008)
How important is asymmetric covariance for the risk premium of international assetsJournal of Banking and Finance, 32
M. McAleer (2005)
AUTOMATED INFERENCE AND LEARNING IN MODELING FINANCIAL VOLATILITYEconometric Theory, 21
G. Bekaert, Guojun Wu (1997)
Asymmetric Volatility and Risk in Equity MarketsCorporate Finance: Valuation
R. Engle (1982)
Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflationEconometrica, 50
Gloria González-Rivera (1998)
Smooth-Transition GARCH ModelsStudies in Nonlinear Dynamics & Econometrics, 3
P. Hansen, Asger Lunde (2003)
Consistent Preordering with an Estimated Criterion Function, with an Application to the Evaluation and Comparison of Volatility Models
S. Ling, M. McAleer (2002)
NECESSARY AND SUFFICIENT MOMENT CONDITIONS FOR THE GARCH(r,s) AND ASYMMETRIC POWER GARCH(r,s) MODELSEconometric Theory, 18
Daniel Nelson (1991)
CONDITIONAL HETEROSKEDASTICITY IN ASSET RETURNS: A NEW APPROACHEconometrica, 59
Tim Bollerslev (2008)
Glossary to ARCH (GARCH)Econometrics: Applied Econometrics & Modeling eJournal
R. Rabemananjara, J. Zakoian (1993)
Threshold Arch Models and Asymmetries in VolatilityJournal of Applied Econometrics, 8
Tim Bollerslev (1986)
Generalized autoregressive conditional heteroskedasticityJournal of Econometrics, 31
Changli He, T. Teräsvirta (1999)
Properties of Moments of a Family of GARCH ProcessesJournal of Econometrics, 92
Zhuanxin Ding, C. Granger, R. Engle (1993)
A long memory property of stock market returns and a new model
L. Glosten, R. Jagannathan, D. Runkle (1993)
On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on StocksJournal of Finance, 48
M. McAleer, M. Medeiros (2008)
A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetriesJournal of Econometrics, 147
(1993)
Measuring and Testing the Impact of News on Volatility
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 of Financial Econometrics – Oxford University Press
Published: Apr 12, 2006
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