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Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation

Author

Listed:
  • Elena-Ivona Dumitrescu

    (LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Bertrand Candelon

    (Economics - Maastricht University [Maastricht])

  • Christophe Hurlin

    (LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Franz C. Palm

    (Maastricht University [Maastricht])

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.

Suggested Citation

  • Elena-Ivona Dumitrescu & Bertrand Candelon & Christophe Hurlin & Franz C. Palm, 2012. "Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation," Working Papers halshs-00630036, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00630036
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00630036v2
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    References listed on IDEAS

    as
    1. Harding, Don & Pagan, Adrian, 2011. "An Econometric Analysis of Some Models for Constructed Binary Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 86-95.
    2. Lestano & Jacobs, Jan P.A.M., 2004. "A comparison of currency crisis dating methods: East Asia 1970-2002," CCSO Working Papers 200412, University of Groningen, CCSO Centre for Economic Research.
    3. Candelon, Bertrand & Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2014. "Currency crisis early warning systems: Why they should be dynamic," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1016-1029.
    4. Matthieu Bussière, 2013. "Balance of payment crises in emerging markets: how early were the ‘early’ warning signals?," Applied Economics, Taylor & Francis Journals, vol. 45(12), pages 1601-1623, April.
    5. Lestano & Jacobs, Jan & Kuper, Gerard H., 2003. "Indicators of financial crises do work! : an early-warning system for six Asian countries," CCSO Working Papers 200313, University of Groningen, CCSO Centre for Economic Research.
    6. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    7. Pesaran, M. Hashem & Pick, Andreas, 2007. "Econometric issues in the analysis of contagion," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1245-1277, April.
    8. Reuven Glick & Michael M. Hutchison, 1999. "Banking and currency crises; how common are twins?," Proceedings, Federal Reserve Bank of San Francisco, issue Sep.
    9. Mr. Luis Ignacio Jácome, 2004. "The Late 1990's Financial Crisis in Ecuador: Institutional Weaknesses, Fiscal Rigidities, and Financial Dollarization At Work," IMF Working Papers 2004/012, International Monetary Fund.
    10. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    11. Mr. Fabian Valencia & Mr. Luc Laeven, 2008. "Systemic Banking Crises: A New Database," IMF Working Papers 2008/224, International Monetary Fund.
    12. Barry Eichengreen & Andrew K. Rose & Charles Wyplosz, 1996. "Contagious Currency Crises," NBER Working Papers 5681, National Bureau of Economic Research, Inc.
    13. Michael Dueker, 2005. "Dynamic Forecasts of Qualitative Variables: A Qual VAR Model of U.S. Recessions," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 96-104, January.
    14. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    15. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    16. Bertrand Candelon & Franz Palm, 2010. "Banking and Debt Crises in Europe: The Dangerous Liaisons?," De Economist, Springer, vol. 158(1), pages 81-99, April.
    17. J‹Rgen Von Hagen & Tai-Kuang Ho, 2007. "Money Market Pressure and the Determinants of Banking Crises," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(5), pages 1037-1066, August.
    18. repec:bla:scandj:v:98:y:1996:i:4:p:463-84 is not listed on IDEAS
    19. Kumar, Mohan & Moorthy, Uma & Perraudin, William, 2003. "Predicting emerging market currency crashes," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 427-454, September.
    20. repec:dgr:rugccs:200313 is not listed on IDEAS
    21. Andrea Pescatori & Amadou N R Sy, 2007. "Are Debt Crises Adequately Defined?," IMF Staff Papers, Palgrave Macmillan, vol. 54(2), pages 306-337, June.
    22. van den Berg, Jeroen & Candelon, Bertrand & Urbain, Jean-Pierre, 2008. "A cautious note on the use of panel models to predict financial crises," Economics Letters, Elsevier, vol. 101(1), pages 80-83, October.
    23. Jacques Huguenin & Florian Pelgrin & Alberto Holly, 2009. "Estimation of multivariate probit models by exact maximum likelihood," Working Papers 0902, University of Lausanne, Institute of Health Economics and Management (IEMS).
    24. Bertrand Candelon & Elena-Ivona Dumitrescu & Christophe Hurlin, 2012. "How to evaluate an Early Warning System ?," Working Papers halshs-00450050, HAL.
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    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.
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    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.

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    More about this item

    Keywords

    Non-linear VAR; Multivariate dynamic probit models; Exact maximum likelihood; Impulse-response function; Financial crises; VAR non-linéaire; Probit multivarié dynamique; foction de réponse; Crise financière;
    All these keywords.

    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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