Dynamic Conditional Correlations for Asymmetric Processes
AbstractThe paper develops two Dynamic Conditional Correlation (DCC) models, namely the Wishart DCC (wDCC) model. The paper applies the wDCC approach to the exponential GARCH (EGARCH) and GJR models to propose asymmetric DCC models. We use the standardized multivariate t-distribution to accommodate heavy-tailed errors. The paper presents an empirical example using the trivariate data of the Nikkei 225, Hang Seng and Straits Times Indices for estimating and forecasting the wDCC-EGARCH and wDCC-GJR models, and compares the performance with the asymmetric BEKK model. The empirical results show that AIC and BIC favour the wDCC-EGARCH model to the wDCC-GJR, asymmetric BEKK and alternative conventional DCC models. Moreover, the empirical results indicate that the wDCC-EGARCH-t model produces reasonable VaR threshold forecasts, which are very close to the nominal 1% to 3% values.
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Bibliographic InfoPaper provided by Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales in its series Documentos del Instituto Complutense de Análisis Económico with number 2011-30.
Length: 26 pages
Date of creation: 2011
Date of revision:
Note: The authors wish to thank the editor and two referees for insightful comments and suggestions and Yoshi Baba for helpful discussions. For financial support, the first author acknowledges the Japan Society for the Promotion of Science and the Australian Academy of Science, and the second author wishes to acknowledge the Australian Research Council, National Science Council, Taiwan, and the Japan Society for the Promotion of Science.
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Dynamic conditional correlations; Wishart process; EGARCH; GJR; asymmetric BEKK; heavy-tailed errors.;
Other versions of this item:
- Manabu Asai & Michael McAleer, 2009. "Dynamic Conditional Correlations for Asymmetric Processes," CIRJE F-Series CIRJE-F-657, CIRJE, Faculty of Economics, University of Tokyo.
- Asai, M. & McAleer, M.J., 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Econometric Institute Report EI 2010-76, Erasmus University Rotterdam, Econometric Institute.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," KIER Working Papers 747, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2009. "Dynamic Conditional Correlations for Asymmetric Processes," CARF F-Series CARF-F-168, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Working Papers in Economics 10/76, University of Canterbury, Department of Economics and Finance.
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