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Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation

Author

Listed:
  • Bertrand Candelon
  • Elena Ivona Dumitrescu

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Christophe Hurlin

  • Franz Palm

Abstract

In this paper we propose a multivariate dynamic probit model. Our model can be considered as a non-linear VAR model for the latent variables associated with correlated binary time-series data. To estimate it, we implement an exact maximum-likelihood approach, hence providing a solution to the problem generally encountered in the formulation of multivariate probit models. Our framework allows us to apprehend dynamics and causality in several ways. Furthermore, we propose an impulse-response analysis for such models. An empirical application on three nancial crises is nally proposed.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Bertrand Candelon & Elena Ivona Dumitrescu & Christophe Hurlin & Franz Palm, 2013. "Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation," Post-Print hal-01449943, HAL.
    • Handle: RePEc:hal:journl:hal-01449943
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    Cited by:

    1. Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022. "Contagious switching," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
    2. Candelon, Bertrand & Hasse, Jean-Baptiste, 2023. "Testing for causality between climate policies and carbon emissions reduction," Finance Research Letters, Elsevier, vol. 55(PA).
    3. Barrera, Carlos, 2014. "La relación entre los ciclos discretos en la inflación y el crecimiento: Perú 1993 - 2012," Working Papers 2014-024, Banco Central de Reserva del Perú.
    4. Carsten Jentsch & Lena Reichmann, 2022. "Generalized binary vector autoregressive processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(2), pages 285-311, March.
    5. William W. Chow & Michael K. Fung, 2021. "The effects of macroprudential policy on Hong Kong’s housing market: a multivariate ordered probit-augmented vector autoregressive approach," Empirical Economics, Springer, vol. 60(2), pages 633-660, February.
    6. Maixé-Altés, J. Carles & Iglesias, Emma M., 2015. "Banking, Currency, Stock Market and Debt Crises: Revisiting Reinhart & Rogoff Debt Analysis in Spain, 1850-1995," MPRA Paper 68199, University Library of Munich, Germany.
    7. Manner, Hans & Türk, Dennis & Eichler, Michael, 2016. "Modeling and forecasting multivariate electricity price spikes," Energy Economics, Elsevier, vol. 60(C), pages 255-265.

    More about this item

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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