Multivariate GARCH Models: A Survey
Preprint
- 18 April 2003
- preprint
- Published by Elsevier in SSRN Electronic Journal
Abstract
This paper surveys the most important developments in multivariate ARCH-type modelling. It reviews the model specifications, the inference methods, and the main areas of application of these models in financial econometrics.Keywords
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This publication has 95 references indexed in Scilit:
- Flexible Dynamic Conditional Correlation multivariate GARCH models for asset allocationApplied Financial Economics Letters, 2006
- Bayesian clustering of many GARCH modelsSSRN Electronic Journal, 2003
- Multivariate GARCH Models: A SurveySSRN Electronic Journal, 2003
- Modeling and Forecasting Realized VolatilityEconometrica, 2003
- Testing constancy of correlation and other specifications of the BGARCH model with an application to international equity returnsJournal of Empirical Finance, 2002
- Fractionally integrated generalized autoregressive conditional heteroskedasticityJournal of Econometrics, 1996
- ARCH MODELS: PROPERTIES, ESTIMATION AND TESTINGJournal of Economic Surveys, 1993
- Risk, Time-Varying Second Moments and Market EfficiencyThe Review of Economic Studies, 1991
- Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized Arch ModelThe Review of Economics and Statistics, 1990
- Generalized autoregressive conditional heteroskedasticityJournal of Econometrics, 1986