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How to evaluate an early warning system? Towards a united statistical framework for assessing financial crises forecasting methods

Author

Listed:
  • Candelon, B.

    (Macro, International & Labour Economics)

  • Dumitrescu, E-I.
  • Hurlin, C.

Abstract

This paper proposes a new statistical framework originating from the traditional credit-scoring literature, to evaluate currency crises Early Warning Systems (EWS). Based on an assessment of the predictive power of panel logit and Markov frameworks, the panel logit model is outperforming the Markov switching specitcations. Furthermore, the introduction of forward-looking variables clearly improves the forecasting properties of the EWS. This improvement confirms the adequacy of the second generation crisis models in explaining the occurrence of crises.
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Suggested Citation

  • Candelon, B. & Dumitrescu, E-I. & Hurlin, C., 2010. "How to evaluate an early warning system? Towards a united statistical framework for assessing financial crises forecasting methods," Research Memorandum 046, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    • Handle: RePEc:unm:umamet:2010046
    DOI: 10.26481/umamet.2010046
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    References listed on IDEAS

    as
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