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Multivariate GARCH models

Author

Listed:
  • Silvennoinen, Annastiina

    (School of Finance and Economics, University of Technology, Sydney)

  • Teräsvirta, Timo

    (CREATES, University of Aarhus and Department of Economic Statistics, Stockholm School of Economics)

Abstract
This article contains a review of multivariate GARCH models. Most common GARCH models are presented and their properties considered. This also includes semiparametric and nonparametric GARCH models. Existing specification and misspecification tests are discussed. Finally, there is an empirical example in which several multivariate GARCH models are fitted to the same data set and the results compared with each other.

Suggested Citation

  • Silvennoinen, Annastiina & Teräsvirta, Timo, 2007. "Multivariate GARCH models," SSE/EFI Working Paper Series in Economics and Finance 669, Stockholm School of Economics, revised 18 Jan 2008.
    • Handle: RePEc:hhs:hastef:0669
    Note: This article has been written for Handbook of Financial Time Series, edited by T.G. Andersen, R.A. Davis, J.-P. Kreiss and T. Mikosch
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    More about this item

    Keywords

    autoregressive conditional heteroskedasticity; modelling volatility; nonlinear GARCH; nonparametric GARCH; semiparametric GARCH;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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