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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. 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.
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  3. Reinhart, Carmen & Kaminsky, Graciela, 1998. "Financial crises in Asia and Latin America: Then and now," MPRA Paper 13877, University Library of Munich, Germany.
  4. Giancarlo Corsetti & Paolo Pesenti & Nouriel Roubini, 1998. "Paper Tigers? A Model of the Asian Crisis," NBER Working Papers 6783, National Bureau of Economic Research, Inc.
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  8. Graciela L. Kaminsky & Sergio L. Schmukler, 1999. "What triggers market jitters: a chronicle of the Asian crisis," International Finance Discussion Papers 634, Board of Governors of the Federal Reserve System (U.S.).
  9. Bussière, Matthieu & Fratzscher, Marcel, 2002. "Towards a new early warning system of financial crises," Working Paper Series 0145, European Central Bank.
  10. Reinhart, Carmen & Goldstein, Morris & Kaminsky, Graciela, 2000. "Early Warning System: Empirical Results from The Signals Approach," MPRA Paper 24577, University Library of Munich, Germany.
  11. Susmel, Raul, 2000. "Switching Volatility in Private International Equity Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 5(4), pages 265-83, October.
  12. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333.
  13. Hali J. Edison, 2003. "Do indicators of financial crises work? An evaluation of an early warning system," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 11-53.
  14. Franc Klaassen, 2002. "Improving GARCH volatility forecasts with regime-switching GARCH," Empirical Economics, Springer, vol. 27(2), pages 363-394.
  15. 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.
  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. Aaron Tornell, 1999. "Common Fundamentals in the Tequila and Asian Crises," Harvard Institute of Economic Research Working Papers 1868, Harvard - Institute of Economic Research.
  18. 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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