Modelling multiple regimes in financial volatility with a flexible coefficient GARCH model
AbstractIn this paper a flexible GARCH-type model is developed with the aim of describing sign and size asymmetries in financial volatility as well as intermittent dynamics and excess of kurtosis. A sufficient condition for strict stationarity and ergodicity of the model is established and the existence of the second- and fourth-order moments is discussed. It is shown that the model may have explosive regimes and still be strictly stationary and ergodic. Furthermore, estimation of the parameters is carefully addressed and the asymptotic properties of the quasi-maximum likelihood estimator is derived. A modeling cycle based on a sequence of simple and easily implemented Lagrange multiplier tests is discussed in order to avoid the estimation of unidentified models. A Monte-Carlo experiment is designed to evaluate the methodology. Empirical examples are used to illustrate the use of the model in practical situations.
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Bibliographic InfoPaper provided by Department of Economics PUC-Rio (Brazil) in its series Textos para discussão with number 486.
Length: 50 pages
Date of creation: Jul 2004
Date of revision:
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Volatility; GARCH models; multiple regimes; nonlinear time series; smooth transition; finance; asymmetry; leverage effect; excess of kurtosis.;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-07-26 (All new papers)
- NEP-ECM-2004-07-26 (Econometrics)
- NEP-ETS-2004-07-26 (Econometric Time Series)
- NEP-FIN-2004-07-26 (Finance)
- NEP-FMK-2004-07-26 (Financial Markets)
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