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How to evaluate an Early Warning System ?

  • Bertrand Candelon

    (LEO - Laboratoire d'économie d'Orleans - CNRS - UO - Université d'Orléans)

  • Elena-Ivona Dumitrescu

    ()

    (LEO - Laboratoire d'économie d'Orleans - CNRS - UO - Université d'Orléans)

  • Christophe Hurlin

    ()

    (LEO - Laboratoire d'économie d'Orleans - CNRS - UO - Université d'Orléans)

This paper proposes an original and uni ed toolbox to evaluate nancial crisis Early Warning Systems (EWS). It presents four main advantages. First, it is a model free method which can be used to asses the forecasts issued from di erent EWS (probit, logit, markov switching models, or combinations of models). Second, this toolbox can be applied to any type of crisis EWS (currency, banking, sovereign debt, etc.). Third, it does not only provide various criteria to evaluate the (absolute) validity of EWS forecasts but also proposes some tests to compare the relative performance of alternative EWS. Fourth, our toolbox can be used to evaluate both in-sample and out-of-sample forecasts. Applied to a logit model for twelve emerging countries we show that the yield spread is a key variable to predict currency crises exclusively for South-Asian countries. Besides, the optimal cut-o correctly allows us to identify now on average more than 2/3 of the crisis and calm periods.

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Date of creation: 01 Jan 2012
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Handle: RePEc:hal:wpaper:halshs-00450050
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  1. Reinhart, Carmen & Kaminsky, Graciela, 1999. "The twin crises: The causes of banking and balance of payments problems," MPRA Paper 14081, University Library of Munich, Germany.
  2. Bussiere, Matthieu & Fratzscher, Marcel, 2006. "Towards a new early warning system of financial crises," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 953-973, October.
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  9. Aaron Tornell, 1999. "Common Fundamentals in the Tequila and Asian Crises," Harvard Institute of Economic Research Working Papers 1868, Harvard - Institute of Economic Research.
  10. Eichengreen, Barry & Rose, Andrew K. & Wyplosz, Charles, 1995. "Speculative Attacks on Pegged Exchange Rates: An Empirical Exploration with Special Reference to the European Monetary System," Center for International and Development Economics Research (CIDER) Working Papers 233397, University of California-Berkeley, Department of Economics.
  11. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
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  14. Franc Klaassen, 2002. "Improving GARCH volatility forecasts with regime-switching GARCH," Empirical Economics, Springer, vol. 27(2), pages 363-394.
  15. Kaminsky, Graciela L & Reinhart, Carmen M, 1998. "Financial Crises in Asia and Latin America: Then and Now," American Economic Review, American Economic Association, vol. 88(2), pages 444-48, May.
  16. Gray, Stephen F., 1996. "Modeling the conditional distribution of interest rates as a regime-switching process," Journal of Financial Economics, Elsevier, vol. 42(1), pages 27-62, September.
  17. Chou, Ray Yeutien, 2005. "Forecasting Financial Volatilities with Extreme Values: The Conditional Autoregressive Range (CARR) Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 561-82, June.
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