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Caractérisation des crises financières à l'aide de modèles hybrides (HMC-MLP)

Author

Listed:
  • Bertrand Maillet
  • Madalina Olteanu
  • Joseph Rynkiewicz

Abstract

Characterization of financial crisis with hybridHMC-MLP models Violent turbulences are often striking the financial markets and an Index of Market Shocks (IMS) was recently introduced in the attempt of quantifying these turbulences. Regime switching linear models have already been used in modelling the conditional volatility of returns. In this paper, we propose a description of the IMS with hybrid models integrating multi-layer perceptrons and hidden Markov chains. After studying the prediction performance of the models, we focus on the series separation and the index behaviour subject to hidden states.

Suggested Citation

  • Bertrand Maillet & Madalina Olteanu & Joseph Rynkiewicz, 2004. "Caractérisation des crises financières à l'aide de modèles hybrides (HMC-MLP)," Revue d'économie politique, Dalloz, vol. 114(4), pages 489-506.
    • Handle: RePEc:cai:repdal:redp_144_0489
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    References listed on IDEAS

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    1. Coe, Patrick J, 2002. "Financial Crisis and the Great Depression: A Regime Switching Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 76-93, February.
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. Rabemananjara, R & Zakoian, J M, 1993. "Threshold Arch Models and Asymmetries in Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 31-49, Jan.-Marc.
    4. Bertrand Maillet & Thierry Michel, 2003. "An index of market shocks based on multiscale analysis," Quantitative Finance, Taylor & Francis Journals, vol. 3(2), pages 88-97.
    5. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    6. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333.
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