A general multivariate threshold GARCH model with dynamic conditional correlations

@inproceedings{Audrino2008AGM,
  title={A general multivariate threshold GARCH model with dynamic conditional correlations},
  author={Francesco Audrino and Fabio Trojani},
  year={2008}
}
We introduce a new multivariate GARCH model with multivariate thresholds in conditional correlations, and develop a two-step estimation procedure that is feasible in large dimensional applications. Optimal threshold functions are estimated endogenously from the data, and the model conditional covariance matrix is ensured to be positive definite. We study the empirical performance of our model in three applications using US stock and bond market data. The conditional volatility of stock returns… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 22 REFERENCES

Estimating and predicting multivariate volatility regimes in global stock markets

  • F. Audrino, F. Trojani
  • Journal of Applied Econometrics 21,
  • 2006
Highly Influential
7 Excerpts

Tree-structured multiple regimes in interest rates

  • F. Audrino
  • Journal of Business & Economic Statistics
  • 2006
Highly Influential
9 Excerpts

Realized correlation tick-by-tick. Discussion Paper, Department of Economics, University of St. Gallen

  • F. Corsi, F. Audrino
  • 2007
Highly Influential
4 Excerpts

A test for superior predictive ability

  • P. R. Hansen
  • Journal of Business & Economic Statistics
  • 2005
Highly Influential
10 Excerpts

Tree-Structured GARCH Models

  • F. Audrino, P. Bühlmann
  • Journal of the Royal Statistical Society, Series…
  • 2001
Highly Influential
5 Excerpts

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