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Testing the nullity of GARCH coefficients : correction of the standard tests and relative efficiency comparisons Author info | Abstract | Publisher info | Download info | Related research | Statistics Francq, Christian
Zakoian, Jean-Michel
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This article is concerned by testing the nullity of coefficients in GARCH models. The problem is non standard because the quasi-maximum likelihood estimator is subject to positivity constraints. The paper establishes the asymptotic null and local alternative distributions of Wald, score, and quasi-likelihood ratio tests. Efficiency comparisons under fixed alternatives are also considered. Two cases of special interest are: (i) tests of the null hypothesis of one coefficient equal to zero and (ii) tests of the null hypothesis of no conditional heteroscedasticity. Finally, the proposed approach is used in the analysis of a set of financial data and leads to reconsider the preeminence of GARCH(1,1) among GARCH models.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
16672.
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Date of creation: 2008Date of revision:
Handle: RePEc:pra:mprapa:16672Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany Phone: +49-(0)89-2180-2219 Fax: +49-(0)89-2180-3900 Web page: http://mpra.ub.uni-muenchen.de More information through EDIRC
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Keywords: Asymptotic efficiency of tests ; Boundary ; Chi-bar distribution ; GARCH model ; Quasi Maximum Likelihood Estimation ; Local alternatives ; Other versions of this item:
Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
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