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Maximum Likelihood Estimation and Inference in Multivariate Conditionally Heteroscedastic Dynamic Regression Models with Student t Innovations Author info | Abstract | Publisher info | Download info | Related research | Statistics Fiorentini, Gabriele
Sentana, Enrique
Calzolari, Giorgio
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We provide numerically reliable analytical expressions for the score, Hessian, and information matrix of conditionally heteroscedastic dynamic regression models when the conditional distribution is multivariate t. We also derive one-sided and two-sided Lagrange multiplier tests for multivariate normality versus multivariate t based on the first two moments of the squared norm of the standardized innovations evaluated at the Gaussian pseudo-maximum likelihood estimators of the conditional mean and variance parameters. Finally, we illustrate our techniques through both Monte Carlo simulations and an empirical application to 26 U.K. sectoral stock returns that confirms that their conditional distribution has fat tails.
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Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics .
Volume (Year): 21 (2003)
Issue (Month): 4 (October)
Pages: 532-46
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Handle: RePEc:bes:jnlbes:v:21:y:2003:i:4:p:532-46Contact details of provider: Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
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Enrique Sentana & Giorgio Calzolari & Gabriele Fiorentini, 2004.
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DUFOUR, Jean-Marie & KHALAF, Lynda & BEAULIEU, Marie-Claude, 2003.
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Other versions:
DUFOUR, Jean-Marie & KHALAF, Lynda & BEAULIEU, Marie-Claude, 2003.
"Exact Skewness-Kurtosis Tests for Multivariate Normality and Goodness-of-fit in Multivariate Regressions with Application to Asset Pricing Models ,"
Cahiers de recherche
2003-09, Universite de Montreal, Departement de sciences economiques.
[Downloadable!] Jean-Marie Dufour & Lynda Khalaf & Marie-Claude Beaulieu, 2003.
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[Downloadable!] Jean-Marie Dufour & Lynda Khalaf & Marie-Claude Beaulieu, 2003.
"Exact Skewness-Kurtosis Tests for Multivariate Normality and Goodness-of-Fit in Multivariate Regressions with Application to Asset Pricing Models ,"
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[Downloadable!] (restricted) Pesaran, B. & Pesaran, M.H., 2007.
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"Multivariate GARCH models: a survey ,"
Journal of Applied Econometrics ,
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Other versions: Javier Mencía & Enrique Sentana, 2009.
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Other versions: Bahram Pesaran & M. Hashem Pesaran, 2007.
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C.M. Hafner & H. Herwartz, 2003.
"Analytical quasi maximum likelihood inference in multivariate volatility models ,"
Econometric Institute Report
326, Erasmus University Rotterdam, Econometric Institute.
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Hafner, C.M. & Herwartz, H., 2003.
"Analytical quasi maximum likelihood inference in multivariate volatility models ,"
Econometric Institute Report
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[Downloadable!] Christian Hafner & Helmut Herwartz, 2008.
"Analytical quasi maximum likelihood inference in multivariate volatility models ,"
Metrika ,
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[Downloadable!] (restricted) Trino-Manuel Niguez & Javier Perote, 2004.
"Forecasting the density of asset returns ,"
STICERD - Econometrics Paper Series
/2004/479, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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Enrique Sentana & Gabriele Fiorentini, 2007.
"On The Efficiency And Consistency Of Likelihood Estimation In Multivariate Conditionally Heteroskedastic Dynamic Regression Models ,"
Working Papers
wp2007_0713, CEMFI.
[Downloadable!]
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