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Forecasting Currency Crises: Which Methods Signaled The South African Crisis Of June 2006?

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  • Tobias Knedlik
  • Rolf Scheufele

Abstract

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.

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  • Tobias Knedlik & Rolf Scheufele, 2008. "Forecasting Currency Crises: Which Methods Signaled The South African Crisis Of June 2006?," South African Journal of Economics, Economic Society of South Africa, vol. 76(3), pages 367-383, September.
  • Handle: RePEc:bla:sajeco:v:76:y:2008:i:3:p:367-383
    DOI: 10.1111/j.1813-6982.2008.00206.x
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    File URL: https://doi.org/10.1111/j.1813-6982.2008.00206.x
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    Citations

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    Cited by:

    1. El-Shagi, M. & Knedlik, T. & von Schweinitz, G., 2013. "Predicting financial crises: The (statistical) significance of the signals approach," Journal of International Money and Finance, Elsevier, vol. 35(C), pages 76-103.
    2. Andrew S. Duncan & Alain Kabundi, 2011. "Volatility Spillovers across South African Asset Classes during Domestic and Foreign," Working Papers 202, Economic Research Southern Africa.
    3. Tobias Knedlik & Gregor Von Schweinitz, 2012. "Macroeconomic Imbalances as Indicators for Debt Crises in Europe," Journal of Common Market Studies, Wiley Blackwell, vol. 50(5), pages 726-745, September.
    4. Andrew Stuart Duncan & Guangling“dave” Liu, 2009. "Modelling South African Currency Crises As Structural Changes In The Volatility Of The Rand," South African Journal of Economics, Economic Society of South Africa, vol. 77(3), pages 363-379, September.
    5. Diemo Dietrich & Tobias Knedlik & Axel Lindner, 2011. "Central and Eastern European countries in the global financial crisis: a typical twin crisis?," Post-Communist Economies, Taylor & Francis Journals, vol. 23(4), pages 415-432, April.
    6. Haakon Kavli & Kevin Kotzé, 2014. "Spillovers in Exchange Rates and the Effects of Global Shocks on Emerging Market Currencies," South African Journal of Economics, Economic Society of South Africa, vol. 82(2), pages 209-238, June.
    7. King, Daniel & Botha, Ferdi, 2015. "Modelling stock return volatility dynamics in selected African markets," Economic Modelling, Elsevier, vol. 45(C), pages 50-73.
    8. Kämpfe, Martina & Knedlik, Tobias, 2017. "The appropriateness of the macroeconomic imbalance procedure for Central and Eastern European countries," IWH Discussion Papers 16/2017, Halle Institute for Economic Research (IWH).
    9. Duncan, Andrew S. & Kabundi, Alain, 2013. "Domestic and foreign sources of volatility spillover to South African asset classes," Economic Modelling, Elsevier, vol. 31(C), pages 566-573.
    10. Panayotis Michaelides & Mike Tsionas & Panos Xidonas, 2020. "A Bayesian Signals Approach for the Detection of Crises," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 551-585, September.

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