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Economic activity and Recession Probabilities: spread predictive power in Italy

  • Costanza Torricelli

    (University of Modena and Reggio Emilia)

  • Marianna Brunetti

    (University of Bergamo)

The aim of the present work is to test the predictive power of the term spread in forecasting real economic growth rates and recession probabilities in Italy. According to the most recent literature, the relationship between the term spread and economic growth rates is modelled as a nonlinear one and specifically the Logistic Smooth Transition model is used, while a probit model is implemented to forecast recession probabilities. In both applications evidence supports a relevant informative content of the spread in Italy

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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 350.

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Date of creation: 04 Jul 2006
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Handle: RePEc:sce:scecfa:350
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  15. Bec Frédérique & Ben Salem Mélika & Collard Fabrice, 2002. "Asymmetries in Monetary Policy Reaction Function: Evidence for U.S. French and German Central Banks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-22, July.
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  17. Venetis, Ioannis A. & Paya, Ivan & Peel, David A., 2003. "Re-examination of the predictability of economic activity using the yield spread: a nonlinear approach," International Review of Economics & Finance, Elsevier, vol. 12(2), pages 187-206.
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  20. Gianna Boero & Costanza Torricelli, 2002. "The information in the term structure of German interest rates," The European Journal of Finance, Taylor & Francis Journals, vol. 8(1), pages 21-45.
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  22. Ivan Paya & Agustín Duarte & Ioannis A. Venetis, 2004. "Predicting Real Growth And The Probability Of Recession In The Euro Area Using The Yield Spread," Working Papers. Serie AD 2004-31, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
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