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


  • Tobias Knedlik
  • Rolf Scheufele


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. Copyright (c) 2008 The Authors. Journal compilation (c) 2008 Economic Society of South Africa.

Suggested Citation

  • 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

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    References listed on IDEAS

    1. Eichengreen, Barry & Rose, Andrew & Wyplosz, Charles, 1996. " Contagious Currency Crises: First Tests," Scandinavian Journal of Economics, Wiley Blackwell, vol. 98(4), pages 463-484, December.
    2. 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.
    3. Kumar, Mohan & Moorthy, Uma & Perraudin, William, 2003. "Predicting emerging market currency crashes," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 427-454, September.
    4. Obstfeld, Maurice, 1986. "Rational and Self-fulfilling Balance-of-Payments Crises," American Economic Review, American Economic Association, vol. 76(1), pages 72-81, March.
    5. Goldfeld, Stephen M. & Quandt, Richard E., 1973. "A Markov model for switching regressions," Journal of Econometrics, Elsevier, vol. 1(1), pages 3-15, March.
    6. Libor Krkoska, 2001. "Assessing Macroeconomic Vulnerability in Central Europe," Post-Communist Economies, Taylor & Francis Journals, vol. 13(1), pages 41-55.
    7. Brüggemann, Axel & Linne, Thomas, 2002. "Are the Central and Eastern European transition countries still vulnerable to a financial crisis? Results from the signals approach," BOFIT Discussion Papers 5/2002, Bank of Finland, Institute for Economies in Transition.
    8. Liliana B Schumacher & Mario I. Bléjer, 1998. "Central Bank Vulnerability and the Credibility of Commitments; A Value-at-Risk Approach to Currency Crises," IMF Working Papers 98/65, International Monetary Fund.
    9. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, July.
    10. Berg, Andrew & Pattillo, Catherine, 1999. "Predicting currency crises:: The indicators approach and an alternative," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 561-586, August.
    11. Brüggemann, Axel & Linne, Thomas, 2002. "Are the Central and Eastern European Transition Countries still vullnerable to an Financial Crisis? Results from the Signals Approach," IWH Discussion Papers 157, Halle Institute for Economic Research (IWH).
    12. Krugman, Paul, 1979. "A Model of Balance-of-Payments Crises," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 11(3), pages 311-325, August.
    13. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    14. World Bank & International Monetary Fund, 2005. "Financial Sector Assessment : A Handbook," World Bank Publications, The World Bank, number 7259.
    15. Flood, Robert P. & Garber, Peter M., 1984. "Collapsing exchange-rate regimes : Some linear examples," Journal of International Economics, Elsevier, vol. 17(1-2), pages 1-13, August.
    16. 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.
    17. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    18. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    19. Abdul d Abiad, 2003. "Early Warning Systems; A Survey and a Regime-Switching Approach," IMF Working Papers 03/32, International Monetary Fund.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Andrew stuart Duncan & Guanglingdave 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. 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.
    6. Andrew S. Duncan & Alain Kabundi, 2011. "Volatility Spillovers across South African Asset Classes during Domestic and Foreign," Working Papers 202, Economic Research Southern Africa.
    7. 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.
    8. King, Daniel & Botha, Ferdi, 2015. "Modelling stock return volatility dynamics in selected African markets," Economic Modelling, Elsevier, vol. 45(C), pages 50-73.
    9. 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).

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