IDEAS home Printed from https://ideas.repec.org/a/kap/openec/v30y2019i4d10.1007_s11079-019-09530-0.html
   My bibliography  Save this article

Early Warning Systems for Currency Crises with Real-Time Data

Author

Listed:
  • Tjeerd M. Boonman

    (Banco de México)

  • Jan P. A. M. Jacobs

    (University of Groningen
    University of Tasmania
    CAMA
    CIRANO)

  • Gerard H. Kuper

    (University of Groningen)

  • Alberto Romero

    (Banco de México)

Abstract

This paper investigates the performance of early warning systems for currency crises in real-time, using forecasts of indicators that are available at the moment predictions are to be made. We investigate two types of commonly used early warning systems for currency crises: the signal approach and the logit model. We apply each EWS to a panel of fifteen emerging economies, distinguishing an estimation period 1991Q1–2010Q4 and a prediction period 2011Q1–2017Q4. We find that using indicator forecasts in the predictions worsens the ability of early warning systems to signal crises compared to the most recently available information.

Suggested Citation

  • Tjeerd M. Boonman & Jan P. A. M. Jacobs & Gerard H. Kuper & Alberto Romero, 2019. "Early Warning Systems for Currency Crises with Real-Time Data," Open Economies Review, Springer, vol. 30(4), pages 813-835, September.
  • Handle: RePEc:kap:openec:v:30:y:2019:i:4:d:10.1007_s11079-019-09530-0
    DOI: 10.1007/s11079-019-09530-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11079-019-09530-0
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11079-019-09530-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, Oxford University Press, vol. 117(2), pages 379-408.
    3. Frankel, Jeffrey & Saravelos, George, 2012. "Can leading indicators assess country vulnerability? Evidence from the 2008–09 global financial crisis," Journal of International Economics, Elsevier, vol. 87(2), pages 216-231.
    4. Berkmen, S. Pelin & Gelos, Gaston & Rennhack, Robert & Walsh, James P., 2012. "The global financial crisis: Explaining cross-country differences in the output impact," Journal of International Money and Finance, Elsevier, vol. 31(1), pages 42-59.
    5. Candelon, Bertrand & Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2014. "Currency crisis early warning systems: Why they should be dynamic," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1016-1029.
    6. Johan Rewilak, 2018. "The Impact of Financial Crises on the Poor," Journal of International Development, John Wiley & Sons, Ltd., vol. 30(1), pages 3-19, January.
    7. Klaassen, Franc & Jager, Henk, 2011. "Definition-consistent measurement of exchange market pressure," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 74-95, February.
    8. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency Crashes in Emerging Markets: Empirical Indicators," Center for International and Development Economics Research (CIDER) Working Papers 233424, University of California-Berkeley, Department of Economics.
    9. Andrew Berg & Eduardo Borensztein & Catherine Pattillo, 2005. "Assessing Early Warning Systems: How Have They Worked in Practice?," IMF Staff Papers, Palgrave Macmillan, vol. 52(3), pages 1-5.
    10. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    11. Marc Klau & John Hawkins, 2000. "Measuring potential vulnerabilities in emerging market economies," BIS Working Papers 91, Bank for International Settlements.
    12. 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.
    13. Fabio Comelli, 2014. "Comparing Parametric and Non-parametric Early Warning Systems for Currency Crises in Emerging Market Economies," Review of International Economics, Wiley Blackwell, vol. 22(4), pages 700-721, September.
    14. Girton, Lance & Roper, Don, 1977. "A Monetary Model of Exchange Market Pressure Applied to the Postwar Canadian Experience," American Economic Review, American Economic Association, vol. 67(4), pages 537-548, September.
    15. Yanping Zhao & Jakob Haan & Bert Scholtens & Haizhen Yang, 2014. "Leading Indicators of Currency Crises: Are They the Same in Different Exchange Rate Regimes?," Open Economies Review, Springer, vol. 25(5), pages 937-957, November.
    16. Alessi, Lucia & Detken, Carsten, 2011. "Quasi real time early warning indicators for costly asset price boom/bust cycles: A role for global liquidity," European Journal of Political Economy, Elsevier, vol. 27(3), pages 520-533, September.
    17. Paolo Manasse & Mr. Axel Schimmelpfennig & Nouriel Roubini, 2003. "Predicting Sovereign Debt Crises," IMF Working Papers 2003/221, International Monetary Fund.
    18. Diebold, Francis X & Rudebusch, Glenn D, 1989. "Scoring the Leading Indicators," The Journal of Business, University of Chicago Press, vol. 62(3), pages 369-391, July.
    19. Derrick Reagle & Dominick Salvatore, 2000. "Forecasting Financial Crises in Emerging Market Economies," Open Economies Review, Springer, vol. 11(3), pages 247-259, July.
    20. Kaminsky, Graciela L., 2006. "Currency crises: Are they all the same?," Journal of International Money and Finance, Elsevier, vol. 25(3), pages 503-527, April.
    21. Gunther, Jeffery W. & Moore, Robert R., 2003. "Early warning models in real time," Journal of Banking & Finance, Elsevier, vol. 27(10), pages 1979-2001, October.
    22. Sarlin, Peter & Holopainen, Markus, 2016. "Toward robust early-warning models: a horse race, ensembles and model uncertainty," Working Paper Series 1900, European Central Bank.
    23. Boonman, Tjeerd Menno, 2019. "Dating currency crises in emerging market economies," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 273-286.
    24. Derrick Reagle & Dominick Salvatore, 2005. "Robustness of Forecasting Financial Crises in Emerging Market Economies with Data Revisions—A Note," Open Economies Review, Springer, vol. 16(2), pages 209-216, April.
    25. 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.
    26. Cumperayot, Phornchanok & Kouwenberg, Roy, 2013. "Early warning systems for currency crises: A multivariate extreme value approach," Journal of International Money and Finance, Elsevier, vol. 36(C), pages 151-171.
    27. 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.
    28. Markus Holopainen & Peter Sarlin, 2015. "Toward robust early-warning models: A horse race, ensembles and model uncertainty," Papers 1501.04682, arXiv.org, revised Apr 2016.
    29. Charles Engel & Kristin Forbes & Jeffrey Frankel, 2012. "Global Financial Crisis," NBER Books, National Bureau of Economic Research, Inc, number enge11-2, March.
    30. Sevim, Cuneyt & Oztekin, Asil & Bali, Ozkan & Gumus, Serkan & Guresen, Erkam, 2014. "Developing an early warning system to predict currency crises," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1095-1104.
    31. Mr. Abdul d Abiad, 2003. "Early Warning Systems: A Survey and a Regime-Switching Approach," IMF Working Papers 2003/032, International Monetary Fund.
    32. Jeffrey A. Frankel & George Saravelos, 2010. "Are Leading Indicators of Financial Crises Useful for Assessing Country Vulnerability? Evidence from the 2008-09 Global Crisis," NBER Working Papers 16047, National Bureau of Economic Research, Inc.
    33. Chun Wei Choo, 2009. "Information use and early warning effectiveness: Perspectives and prospects," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(5), pages 1071-1082, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baker Shnekat & Ghazi Al-Assaf, 2020. "The Impact of Political Stability on the Effectiveness of the Early Warning Systems in Predicting the Financial Crises: The Case of Jordan and Qatar," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(4), pages 398-407, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tjeerd Boonman & Jan P.A.M. Jacobs & Gerard H. Kuper & Alberto Romero, 2017. "Early Warning Systems with Real-Time Data," Working Papers 2017-16, Banco de México.
    2. Christofides, Charis & Eicher, Theo S. & Papageorgiou, Chris, 2016. "Did established Early Warning Signals predict the 2008 crises?," European Economic Review, Elsevier, vol. 81(C), pages 103-114.
    3. Mr. Jiro Honda & Rene Tapsoba & Ismael Issifou, 2018. "When Do We Repair the Roof? Insights from Responses to Fiscal Crisis Early Warning Signals," IMF Working Papers 2018/077, International Monetary Fund.
    4. 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.
    5. Tjeerd M. Boonman & Andrea E. Sanchez Urbina, 2020. "Extreme Bounds Analysis in Early Warning Systems for Currency Crises," Open Economies Review, Springer, vol. 31(2), pages 431-470, April.
    6. Ryota Nakatani, 2017. "The Effects of Productivity Shocks, Financial Shocks, and Monetary Policy on Exchange Rates: An Application of the Currency Crisis Model and Implications for Emerging Market Crises," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(11), pages 2545-2561, November.
    7. Ali Ari & Raif Cergibozan, 2016. "A Comparison of Currency Crisis Dating Methods: Turkey 1990-2014," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 12(3), pages 19-37.
    8. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," PSE Working Papers halshs-03185520, HAL.
    9. Tjeerd M. Boonman & Andrea E. Sanchez Urbina, 2020. "Extreme Bounds Analysis in Early Warning Systems for Currency Crises," Open Economies Review, Springer, vol. 31(2), pages 431-470, April.
    10. 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.
    11. Umberto Collodel, 2021. "Finding a needle in a haystack: Do Early Warning Systems for Sudden Stops work?," Working Papers halshs-03185520, HAL.
    12. Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020. "Forecasting financial stress indices in Korea: a factor model approach," Empirical Economics, Springer, vol. 59(6), pages 2859-2898, December.
    13. 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.
    14. Hyeongwoo Kim & Wen Shi, 2021. "Forecasting financial vulnerability in the USA: A factor model approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 439-457, April.
    15. Balaga Mohana Rao & Puja Padhi, 2020. "Common Determinants of the Likelihood of Currency Crises in BRICS," Global Business Review, International Management Institute, vol. 21(3), pages 698-712, June.
    16. Markus Behn & Carsten Detken & Tuomas Peltonen & Willem Schudel, 2017. "Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 147-189, December.
    17. Sondermann, David & Zorell, Nico, 2019. "A macroeconomic vulnerability model for the euro area," Working Paper Series 2306, European Central Bank.
    18. Boonman, Tjeerd Menno, 2019. "Dating currency crises in emerging market economies," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 273-286.
    19. Frankel, Jeffrey & Saravelos, George, 2012. "Can leading indicators assess country vulnerability? Evidence from the 2008–09 global financial crisis," Journal of International Economics, Elsevier, vol. 87(2), pages 216-231.
    20. 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.

    More about this item

    Keywords

    Real time data; Early warning system; Currency crises; Signal approach; Logit model; Emerging economies;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • G01 - Financial Economics - - General - - - Financial Crises
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:openec:v:30:y:2019:i:4:d:10.1007_s11079-019-09530-0. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.