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Purpose- The probability of currency crisis is attempted to be predicted by analysing the lagged binary crisis variable and some macroeconomic indicators. Methodology- A new generation of early warning system model is developed in order to determine the leading indicators of the financial crises of 17 developing countries and the dynamic structure of the crises are examined by using the dynamic random effects probit model. Findings- The results show that the 12th (C1t-12), 3rd(C1t-3), 2nd(C1t-2) and 1st (C1t-1) lags of the dependent variable have a statistically significant effect in explaining the probability of the currency crisis. Conclusion- The results of the model show that true state dependence has a significant effect on the probability of currency crises in the short term. This clearly indicates that sources of endogenous persistence of crises should be taken into account in order to improve a new generation of EWS on the predictability of currency crisis.

Modelling an early warning system for currency crises: a dynamic panel probit model