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On asymptotic theory of multivariate GARCH processes
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When
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2.00pm on Friday 2nd November
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Where
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B617, Leverhulme Library, Columbia House
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Presentations
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Speaker
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Christian Hafner
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From
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Institute of Statistics, Catholic University of Louvain, Belgium
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Abstract
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The paper investigates the asymptotic theory for a multivariate GARCH model in its general vector specification proposed by Bollerslev, Engle and Wooldridge (1988) known as the VEC model. This model includes as important special cases the so-called BEKK model and many versions of factor GARCH models, which are often used in practice.
We provide sufficient conditions for strict stationarity and geometric ergodicity. The strong consistency of the quasi-maximum likelihood estimator (QMLE) is proved under mild regularity conditions which allow the process to be integrated. In order to obtain asymptotic normality, the existence six-order moments of the process is assumed.
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For further information
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Thomas Hewlett (Postgraduate Administrator) Ext. 6879
Department of Statistics, Columbia House
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