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An introduction to univariate GARCH models Author info | Abstract | Publisher info | Download info | Related research | Statistics Teräsvirta, Timo () (School of Economics and Management, University of Aarhus)
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This paper contains a survey of univariate models of conditional heteroskedasticity. The classical ARCH model is mentioned, and various extensions of the standard GARCH model are highlighted. This includes the Exponential GARCH model. Stochastic volatility models remain outside this review.
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Paper provided by Stockholm School of Economics in its series Working Paper Series in Economics and Finance with number
646.
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Length: 30 pages
Date of creation: 03 Dec 2006Date of revision:
Publication status: Published in Handbook of Financial Time Series, Andersen, Torben G., Davis, Richard A., Kreiss, Jens-Peter, Mikosch, Thomas (eds.), 2009, pages 17-42, Springer.Handle: RePEc:hhs:hastef:0646Note: This article has been prepared for Handbook of Financial Time Series, ed. by T.G. Andersen, R.A. Davis, J.-P. Kreiss and T. Mikosch. New York: SpringerContact details of provider: Postal: The Economic Research Institute, Stockholm School of Economics, P.O. Box 6501, 113 83 Stockholm, Sweden Phone: +46-(0)8-736 90 00 Fax: +46-(0)8-31 01 57 Email: Web page: http://www.hhs.se/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Helena Lundin).
Keywords: ARCH ; conditional heteroskedasticity ; GARCH ; nonlinear GARCH ; volatility modelling ; Other versions of this item:
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
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Jie Zhu, 2008.
"FIEGARCH-M and and International Crises: A Cross-Country Analysis ,"
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