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Balance of payment crises in emerging markets: how early were the “early” warning signals?

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  • Bussière, Matthieu

Abstract

Although many papers have already proposed empirical models of currency crises, the timing of such crises has received relatively little attention so far. Most papers use indeed a static specification and impose the same lag structure across all explanatory variables. This, by construction, prevents from specifically timing the crisis signals sent by the leading indicators. The objective here is to fill this gap by considering a set of dynamic discrete choice models. The first contribution is to identify how early in advance each explanatory variable sends a warning signal. Some indicators are found to signal a crisis in the very short run while others signal a crisis at more distant horizons. The second contribution is to show that state dependence matters, albeit mostly in the short run. The results have important implications for crisis prevention in terms of the timeliness and usefulness of the envisaged policy response. JEL Classification: C23, F15, F14

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Paper provided by European Central Bank in its series Working Paper Series with number 0713.

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Date of creation: Jan 2007
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Handle: RePEc:ecb:ecbwps:20070713

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Keywords: balance of payments; currency crises; debt ratios; Dynamic discrete choice; emerging markets; panel data; sudden stop;

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References

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Citations

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Cited by:
  1. Babecký, Jan & Havránek, Tomáš & Matějů, Jakub & Rusnák, Marek & Šmídková, Kateřina & Vašíček, Bořek, 2012. "Banking, debt and currency crises: early warning indicators for developed countries," Working Paper Series 1485, European Central Bank.
  2. Jesús Crespo Cuaresma & Tomáš Slacík, 2007. "On the Determinants of Currency Crises: The Role of Model Uncertainty," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 54-68.
  3. Matthew S. Yiu & Alex Ho & Lu Jin, 2009. "Econometric Approach to Early Warnings of Vulnerability in the Banking System and Currency Markets for Hong Kong and Other EMEAP Economies," Working Papers 0908, Hong Kong Monetary Authority.
  4. Jan Babecký & Tomáš Havránek & Jakub Matìjù & Marek Rusnák & Kateøina Šmídková & Boøek Vašíèek, 2011. "Early Warning Indicators of Crisis Incidence: Evidence from a Panel of 40 Developed Countries," Working Papers IES 2011/36, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2011.
  5. Babecký, Jan & Havránek, Tomáš & Matějů, Jakub & Rusnák, Marek & Šmídková, Kateřina & Vašíček, Bořek, 2012. "Leading indicators of crisis incidence: evidence from developed countries," Working Paper Series 1486, European Central Bank.
  6. Elena-Ivona Dumitrescu & Bertrand Candelon & Christophe Hurlin & Franz C. Palm, 2012. "Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation," Working Papers halshs-00630036, HAL.
  7. David Greenlaw & James D. Hamilton & Peter Hooper & Frederic S. Mishkin, 2013. "Crunch Time: Fiscal Crises and the Role of Monetary Policy," NBER Working Papers 19297, National Bureau of Economic Research, Inc.
  8. Jesús Crespo Cuaresma & Tomáš Slacík, 2008. "Determinants of Currency Crises: A Conflict of Generations?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 126-141.
  9. Blix Grimaldi, Marianna, 2010. "Detecting and interpreting financial stress in the euro area," Working Paper Series 1214, European Central Bank.
  10. Ari, Ali, 2008. "An Early Warning Signals Approach for Currency Crises: The Turkish Case," MPRA Paper 25858, University Library of Munich, Germany, revised 2009.

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