IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v43y2011i14p1817-1828.html
   My bibliography  Save this article

Designing an early warning system for currency crises: an empirical treatment

Author

Listed:
  • Alaa El-Shazly

Abstract

This article investigates the predictive power of qualitative response models that can serve as the basis for an early warning system for currency crises. It employs a signals framework that monitors the behaviour of key economic variables and issues a warning when their values exceed certain critical levels. The analysis is carried out for a parsimonious specification with high-frequency data. Taking Egypt as a case study, it is shown that this class of probability models captures to a good extent the turbulence in the foreign exchange market and the onset of crises.

Suggested Citation

  • Alaa El-Shazly, 2011. "Designing an early warning system for currency crises: an empirical treatment," Applied Economics, Taylor & Francis Journals, vol. 43(14), pages 1817-1828.
  • Handle: RePEc:taf:applec:v:43:y:2011:i:14:p:1817-1828
    DOI: 10.1080/00036840802600657
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840802600657
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036840802600657?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Morris Goldstein & Graciela Kaminsky & Carmen Reinhart, 2017. "Methodology and Empirical Results," World Scientific Book Chapters, in: TRADE CURRENCIES AND FINANCE, chapter 11, pages 397-436, World Scientific Publishing Co. Pte. Ltd..
    2. Reinhart, Carmen & Goldstein, Morris & Kaminsky, Graciela, 2000. "Assessing financial vulnerability, an early warning system for emerging markets: Introduction," MPRA Paper 13629, University Library of Munich, Germany.
    3. Graciela Laura Kaminsky, 1999. "Currency and Banking Crises: The Early Warnings of Distress," IMF Working Papers 1999/178, International Monetary Fund.
    4. Michael P. Clements & David F. Hendry, 2001. "Forecasting Non-Stationary Economic Time Series," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262531895, December.
    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. Medina Moral, Eva & Salvador Perucha, David, 2018. "Medición de la vulnerabilidad monetaria en el área latinoamericana bajo un enfoque de señales ?móviles?/Measurement of Monetary Vulnerability in the Latin American Area using a," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 603-634, Mayo.
    2. El-Shazly, Alaa, 2016. "Structural breaks and monetary dynamics: A time series analysis," Economic Modelling, Elsevier, vol. 53(C), pages 133-143.

    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. Marc Flandreau & Juan H. Flores & Norbert Gaillard & Sebastián Nieto-Parra, 2010. "The End of Gatekeeping: Underwriters and the Quality of Sovereign Bond Markets, 1815–2007," NBER Chapters, in: NBER International Seminar on Macroeconomics 2009, pages 53-92, National Bureau of Economic Research, Inc.
    2. Cipollini, A. & Kapetanios, G., 2009. "Forecasting financial crises and contagion in Asia using dynamic factor analysis," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 188-200, March.
    3. Paolo Manasse & Roberto Savona & Marika Vezzoli, 2016. "Danger Zones for Banking Crises in Emerging Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 360-381, October.
    4. Mustapha Djennas & Mohamed Benbouziane & Meriem Djennas, 2011. "An Approach of Combining Empirical Mode Decomposition and Neural Network Learning for Currency Crisis Forecasting," Working Papers 627, Economic Research Forum, revised 09 Jan 2011.
    5. Hali J. Edison, 2003. "Do indicators of financial crises work? An evaluation of an early warning system," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 11-53.
    6. Lin, Chin-Shien & Khan, Haider A. & Chang, Ruei-Yuan & Wang, Ying-Chieh, 2008. "A new approach to modeling early warning systems for currency crises: Can a machine-learning fuzzy expert system predict the currency crises effectively?," Journal of International Money and Finance, Elsevier, vol. 27(7), pages 1098-1121, November.
    7. 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.
    8. Stefano Puddu, 2013. "Optimal Weights and Stress Banking Indexes," IRENE Working Papers 13-02, IRENE Institute of Economic Research.
    9. K. Batu Tunay, 2010. "Banking Crises and Early Warning Systems: A Model Suggestion for Turkish Banking Sector," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 4(1), pages 9-46.
    10. Demirgüç-Kunt, Asli & Detragiache, Enrica, 2005. "Cross-Country Empirical Studies of Systemic Bank Distress: A Survey," National Institute Economic Review, National Institute of Economic and Social Research, vol. 192, pages 68-83, April.
    11. 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.
    12. Pavel Trunin & M. Kamenskih, 2007. "Monitoring Financial Stability In Developing Economies (Case of Russia)," Research Paper Series, Gaidar Institute for Economic Policy, issue 111.
    13. Kumar, Mohan & Moorthy, Uma & Perraudin, William, 2003. "Predicting emerging market currency crashes," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 427-454, September.
    14. Mark Illing & Ying Liu, 2003. "An Index of Financial Stress for Canada," Staff Working Papers 03-14, Bank of Canada.
    15. Jianping Shi & Yu Gao, 2010. "A Study on KLR Financial Crisis Early-Warning Model," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 5(2), pages 254-275, June.
    16. Arminio Fraga & Daniel L. Gleizer, 2001. "Constrained Discretion and Collective Action Problems: Reflections on the Resolution of International Financial Crises," Working Papers Series 34, Central Bank of Brazil, Research Department.
    17. V. V. Chari & Patrick J. Kehoe, 2003. "Hot Money," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1262-1292, December.
    18. Tuomas Komulainen & ) & Johanna Lukkarila, 2003. "What drives financial crises in emerging markets?," Macroeconomics 0304010, University Library of Munich, Germany.
    19. Paolo Manasse & Roberto Savona & Marika Vezzoli, 2013. "Rules of Thumb for Banking Crises in Emerging Markets," Working Papers 481, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    20. Juan Francisco Martínez & José Miguel Matus & Daniel Oda, 2018. "Taxonomy of Chilean Financial Fragility Periods from 1975 to 2017," Working Papers Central Bank of Chile 822, Central Bank of Chile.

    More about this item

    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:taf:applec:v:43:y:2011:i:14:p:1817-1828. See general information about how to correct material in RePEc.

    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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.