In this paper we test the ability of three of the most popular methods to forecast South African currency crises with a special emphasis on their out-of-sample performance. We choose the latest crisis of June 2006 to conduct an out-of-sample experiment. The results show that the signals approach was not able to forecast the out-of-sample crisis correctly; the probit approach was able to predict the crisis but only with models, that were based on raw data. The Markov-regime-switching approach predicts the out-of-sample crisis well. However, the results are not straightforward. In-sample, the probit models performed remarkably well and were also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. The recommendation is to not restrict the forecasting to only one approach. © 2008 The Author. Journal compilation © 2008 The Economic Society of South Africa.
CITATION STYLE
Knedlik, T., & Scheufele, R. (2008). Forecasting currency crises: Which methods signaled the south african crisis of June 2006? South African Journal of Economics, 76(3), 367–383. https://doi.org/10.1111/j.1813-6982.2008.00206.x
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