Stationarity and Geometric Ergodicity of BEKK Multivariate GARCH Models
arXiv:1106.0165 · doi:10.1016/j.spa.2011.06.001
Abstract
Conditions for the existence of strictly stationary multivariate GARCH processes in the so-called BEKK parametrisation, which is the most general form of multivariate GARCH processes typically used in applications, and for their geometric ergodicity are obtained. The conditions are that the driving noise is absolutely continuous with respect to the Lebesgue measure and zero is in the interior of its support and that a certain matrix built from the GARCH coefficients has spectral radius smaller than one. To establish the results semi-polynomial Markov chains are defined and analysed using algebraic geometry.
arXiv commentversion to appear in Stochastic Processes and their Applications, 2011; http://www.sciencedirect.com/science/article/pii/S0304414911001372
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