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Comparing Parametric and Non-parametric Early Warning Systems for Currency Crises in Emerging Market Economies

Author

Listed:
  • Mr. Fabio Comelli
Abstract
The purpose of this paper is to compare in-sample and out-of-sample performances of three parametric and non-parametric early warning systems (EWS) for currency crises in emerging market economies (EMs). The parametric EWS achieves superior out-of-sample results compared to the non-parametric EWS, as the total misclassification error of the former is lower than that of the latter. In addition, we find that the performances of the parametric and non-parametric EWS do not improve if the policymaker becomes more prudent. From a policy perspective, the policymaker faces the standard trade-off when using EWS. Greater prudence allows the policymaker to correctly call more crisis episodes, but this comes at the cost of issuing more false alarms. The benefit of correctly calling more currency crises needs to be traded off against the cost of issuing more false alarms and of implementing corrective macroeconomic policies prematurely.

Suggested Citation

  • Mr. Fabio Comelli, 2013. "Comparing Parametric and Non-parametric Early Warning Systems for Currency Crises in Emerging Market Economies," IMF Working Papers 2013/134, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2013/134
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    References listed on IDEAS

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    Cited by:

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    2. Mr. Fabio Comelli, 2014. "Comparing the Performance of Logit and Probit Early Warning Systems for Currency Crises in Emerging Market Economies," IMF Working Papers 2014/065, International Monetary Fund.
    3. Guellil, Mohammed Seghir & Sari-Hassoun, Salah Eddine & Chica-Olmo, Jorge & Saraç, Mehmet, 2022. "What are the main factors driving behind the MENA countries current account deficit? A panel logit approach analysis [¿Cuáles son los principales factores que impulsan el déficit de cuenta corrient," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 33(1), pages 134-153, June.
    4. Vesna Bucevska, 2015. "Currency Crises in EU Candidate Countries: An Early Warning System Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(4), pages 493-510, September.
    5. Martin Feldkircher & Thomas Gruber & Isabella Moder, 2014. "Using a Threshold Approach to Flag Vulnerabilities in CESEE Economies," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 8-30.
    6. Martin Bruns & Tigran Poghosyan, 2018. "Leading indicators of fiscal distress: evidence from extreme bounds analysis," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1454-1478, March.
    7. Cruz-Rodríguez Alexis, 2013. "The Relationship between Fiscal Sustainability and Currency Crises in Some Selected Countries," Review of Economic Perspectives, Sciendo, vol. 13(4), pages 176-194, December.
    8. Mr. Andrew J Swiston & Ms. Florencia Frantischek & Mr. Przemek Gajdeczka & Alexander Herman, 2014. "Central Bank Financial Strength in Central America and the Dominican Republic," IMF Working Papers 2014/087, International Monetary Fund.
    9. Jon Frost & Ayako Saiki, 2014. "Early Warning for Currency Crises: What Is the Role of Financial Openness?," Review of International Economics, Wiley Blackwell, vol. 22(4), pages 722-743, September.
    10. Rosa Agustina Oyong & Rustam Didong & Sugiharso Safuan & Perry Warjiyo, 2018. "Early Detection of Indonesia's Vulnerability to Currency Crisis," International Journal of Economics and Financial Issues, Econjournals, vol. 8(1), pages 196-204.
    11. Ivana Marjanoviæ & Milan Markoviæ, 2019. "Determinants of currency crises in the Republic of Serbia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(1), pages 191-212.

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