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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach

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  • Makram El-Shagi
  • Tobias Knedlik
  • Gregor von Schweinitz

Abstract

The signals approach as an early warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it does not distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful and statistically significant results and (2) that composite indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.

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Bibliographic Info

Paper provided by Halle Institute for Economic Research in its series IWH Discussion Papers with number 3.

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Date of creation: Apr 2012
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Handle: RePEc:iwh:dispap:3-12

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Keywords: early warning system; signals approach; bootstrap;

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References

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  2. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency crashes in emerging markets: An empirical treatment," Journal of International Economics, Elsevier, vol. 41(3-4), pages 351-366, November.
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Citations

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Cited by:
  1. Sarlin, Peter, 2013. "On policymakers’ loss functions and the evaluation of early warning systems," Economics Letters, Elsevier, vol. 119(1), pages 1-7.
  2. Tobias Knedlik, 2012. "The European Commission’s Scoreboard of Macroeconomic Imbalances – The Impact of Preferences on an Early Warning System," IWH Discussion Papers 10, Halle Institute for Economic Research.
  3. Makram El-Shagi & Gregor von Schweinitz, 2012. "Qual VAR Revisited: Good Forecast, Bad Story," IWH Discussion Papers 12, Halle Institute for Economic Research.
  4. Makram El-Shagi & Axel Lindner & Gregor von Schweinitz, 2014. "Real Effective Exchange Rate Misalignment in the Euro Area: A Counterfactual Analysis," IWH Discussion Papers 6, Halle Institute for Economic Research.
  5. 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, 09.
  6. Makram El-shagi & Logan J Kelly, 2014. "Liquidity in the liquidity crisis: evidence from Divisia monetary aggregates in Germany and the European crisis countries," Economics Bulletin, AccessEcon, vol. 34(1), pages 63-72.

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