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Some Exact Formulae for the Constant Correlation and Diagonal M - Garch Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Menelaos Karanasos
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The purpose of this paper is to examine the covariance structure of multivariate GARCH (M-GARCH) models that have been introduced in the literature the last fifteen years, and have been greatly favoured by time series analysts and econometricians. In particular, we analyze the second moments of the constant conditional correlation M-GARCH model introduced by Bollerslev (1990) and the diagonal M-GARCH model introduced by Bollerslev, Engle and Wooldridge (1988).
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Paper provided by Department of Economics, University of York in its series Discussion Papers with number
00/14.
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Handle: RePEc:yor:yorken:00/14Contact details of provider: Postal: Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom Phone: (0)1904 433776 Fax: (0)1904 433759 Email: Web page: http://www.york.ac.uk/depts/econ/ More information through EDIRC
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Keywords: Autocovariance Generating Function ; ARMA representations ; Diagonal Multivariate GARCH. ; Other versions of this item:
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988.
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"Estimation of the Optimal Futures Hedge ,"
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Karolyi, G Andrew, 1995.
"A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada ,"
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Ng, Lilian, 1991.
" Tests of the CAPM with Time-Varying Covariances: A Multivariate GARCH Approach ,"
Journal of Finance ,
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Lin, Wen-Ling, 1997.
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Jeantheau, Thierry, 1998.
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Econometric Theory ,
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" Heteroskedasticity in Stock Returns ,"
Journal of Finance ,
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Journal of International Money and Finance ,
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