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Regime switches in the volatility and correlation of financial institutions

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Author Info

  • Kris Boudt

    () (KU Leuven, Lessius)

  • Jon Danielsson

    (London School of Economics)

  • Siem Jan Koopman

    (V.U. University Amsterdam, Tinbergen Institute)

  • Andre Lucas

    (V.U. University Amsterdam, Tinbergen Institute)

Abstract

We propose a parsimonious regime switching model to characterize the dynamics in the volatilities and correlations of US deposit banks' stock returns over 1994-2011. A first innovative feature of the model is that the within-regime dynamics in the volatilities and correlation depend on the shape of the Student t innovations. Secondly, the across-regime dynamics in the transition probabilities of both volatilities and correlations are driven by macro-financial indicators such as the Saint Louis Financial Stability index, VIX or TED spread. We find strong evidence of time-variation in the regime switching probabilities and the within-regime volatility of most banks. The within-regime dynamics of the equicorrelation seem to be constant over the period.

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Bibliographic Info

Paper provided by National Bank of Belgium in its series Working Paper Research with number 227.

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Length: 54 pages
Date of creation: Oct 2012
Date of revision:
Handle: RePEc:nbb:reswpp:201210-227

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References

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Cited by:
  1. H. Dewachter & G. de Walque & M. Emiris & P. Ilbas & J. Mitchell & R. Wouters, 2012. "Endogenous financial risk : The seventh international conference of the NBB," Economic Review, National Bank of Belgium, issue III, pages 135-146, December.
  2. L. Bauwens & E. Otranto, 2013. "Modeling the Dependence of Conditional Correlations on Volatility," Working Paper CRENoS 201304, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

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