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Estimation and out-of-sample Prediction of Sudden Stops: Do Regions of Emerging Markets Behave Differently from Each Other?

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  • Mr. Fabio Comelli

Abstract

We identify episodes of sudden stops in emerging economies and estimate the probability to observe them. Sudden stops are more likely when global growth falters, risk aversion in financial markets rises, and vulnerabilities in the external and financial sectors increase. However, the significance of the explanatory variables vary across regions. In Latin America and Eastern Europe, gross capital inflows are more responsive to changes in global growth than in Asia. Trade linkages tend to be more important than financial linkages in Eastern Europe, while in Asia and Latin America the opposite is true. The model captures only a third of sudden stops outside the estimation sample, but issues reliable sudden stop signals.

Suggested Citation

  • Mr. Fabio Comelli, 2015. "Estimation and out-of-sample Prediction of Sudden Stops: Do Regions of Emerging Markets Behave Differently from Each Other?," IMF Working Papers 2015/138, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2015/138
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    Cited by:

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    2. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," Working Papers halshs-03185520, HAL.
    3. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," PSE Working Papers halshs-03185520, HAL.
    4. Dvorkin, Maximiliano & Sánchez, Juan M. & Sapriza, Horacio & Yurdagul, Emircan, 2020. "News, sovereign debt maturity, and default risk," Journal of International Economics, Elsevier, vol. 126(C).
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    6. Kai Tim Wong, Douglas & Wong, Anson, 2021. "Do the uncertainty-induced capital outflows matter in currency crisis? Evidence from the Hong Kong speculative attacks," Finance Research Letters, Elsevier, vol. 39(C).

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