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Forecasting recessions using financial variables : the French case

Author

Listed:
  • Francis Bismans

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

  • Reynald Majetti

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this article, we focus on the ability of two financial variables—the yield curve spread and the euro–US dollar exchange rate—to predict French recessions over the period 1979–2010. First, we propose a turning point chronology for the French business cycle based on a classical conception of economic cycles and a non-parametric dating algorithm applied to the real GDP series. Second, static and dynamic probit models are developed and estimated to produce the recession probabilities. In-sample results show that the dynamic specification performs better than the static one and, above all, that the exchange rate has a stronger predictive power than the yield curve. Out-of-sample results finally confirm the predominant role assigned to the exchange rate in predicting the latest recession occurred in 2008.

Suggested Citation

  • Francis Bismans & Reynald Majetti, 2013. "Forecasting recessions using financial variables : the French case," Post-Print hal-01753806, HAL.
    • Handle: RePEc:hal:journl:hal-01753806
    DOI: 10.1007/s00181-012-0550-z
    as

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    Cited by:

    1. Kajal Lahiri & Cheng Yang, 2023. "A tale of two recession-derivative indicators," Empirical Economics, Springer, vol. 65(2), pages 925-947, August.
    2. Fernandez-Perez, Adrian & Fernández-Rodríguez, Fernando & Sosvilla-Rivero, Simón, 2014. "The term structure of interest rates as predictor of stock returns: Evidence for the IBEX 35 during a bear market," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 21-33.

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