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A Review of the Literature on Early Warning Systems for Banking Crises

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  • Alejandro Gaytán
  • Christian A. Johnson

Abstract

This paper presents a review of alternative methodologies for early detection of banking distress. The methodologies proposed are aimed to the early identification of financial distress for countries without an important recent history of bank failure, but facing an unstable international environment. We evaluate several indicators and methodologies to measure financial distress such as qualitative indicators, the signal extraction approach, limited dependent estimation and finally duration models.

Suggested Citation

  • Alejandro Gaytán & Christian A. Johnson, 2002. "A Review of the Literature on Early Warning Systems for Banking Crises," Working Papers Central Bank of Chile 183, Central Bank of Chile.
  • Handle: RePEc:chb:bcchwp:183
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    File URL: https://www.bcentral.cl/documents/33528/133326/DTBC_183.pdf
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    References listed on IDEAS

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    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..
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    11. Marcelo Dabos & Walter Sosa Escudero, 2000. "Explaining and Predicting Bank Failure in Argentina Using Duration Models," Working Papers 26, Universidad de San Andres, Departamento de Economia, revised Apr 2000.
    12. Liliana Rojas-Suarez, 2001. "Rating Banks in Emerging Markets: What Credit Rating Agencies Should Learn from Financial Indicators," Working Paper Series WP01-6, Peterson Institute for International Economics.
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    Cited by:

    1. Fedorova, E. & Afanasev, D., 2014. "Comprehensive Crisis Indicator for Russia," Journal of the New Economic Association, New Economic Association, vol. 23(3), pages 38-59.
    2. Bräuning, Michael & Malikkidou, Despo & Scricco, Giorgio & Scalone, Stefano, 2019. "A new approach to Early Warning Systems for small European banks," Working Paper Series 2348, European Central Bank.
    3. Wong, Jim & Wong, Tak-Chuen & Leung, Phyllis, 2010. "Predicting banking distress in the EMEAP economies," Journal of Financial Stability, Elsevier, vol. 6(3), pages 169-179, September.
    4. Mario Maggi & Maria-Laura Torrente & Pierpaolo Uberti, 2020. "Proper measures of connectedness," Annals of Finance, Springer, vol. 16(4), pages 547-571, December.
    5. Davis, E. Philip & Karim, Dilruba, 2008. "Comparing early warning systems for banking crises," Journal of Financial Stability, Elsevier, vol. 4(2), pages 89-120, June.
    6. Oet, Mikhail V. & Bianco, Timothy & Gramlich, Dieter & Ong, Stephen J., 2013. "SAFE: An early warning system for systemic banking risk," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4510-4533.
    7. Fendel Ralf & Stremmel Hanno, 2016. "Characteristics of Banking Crises: A Comparative Study with Geographical Contagion," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(3), pages 349-388, May.
    8. Alessi, Lucia & Antunes, Antonio & Babecky, Jan & Baltussen, Simon & Behn, Markus & Bonfim, Diana & Bush, Oliver & Detken, Carsten & Frost, Jon & Guimaraes, Rodrigo & Havranek, Tomas & Joy, Mark & Kau, 2015. "Comparing different early warning systems: Results from a horse race competition among members of the Macro-prudential Research Network," MPRA Paper 62194, University Library of Munich, Germany.
    9. Rupa Duttagupta & Mr. Paul Cashin, 2008. "The Anatomy of Banking Crises," IMF Working Papers 2008/093, International Monetary Fund.
    10. Audit, Dooneshsingh & Alam, Nafis, 2022. "Why have credit variables taken centre stage in predicting systemic banking crises?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    11. Figini, Silvia & Maggi, Mario & Uberti, Pierpaolo, 2020. "The market rank indicator to detect financial distress," Econometrics and Statistics, Elsevier, vol. 14(C), pages 63-73.
    12. Duttagupta, Rupa & Cashin, Paul, 2011. "Anatomy of banking crises in developing and emerging market countries," Journal of International Money and Finance, Elsevier, vol. 30(2), pages 354-376, March.
    13. Mr. Kasper Lund-Jensen, 2012. "Monitoring Systemic Risk Basedon Dynamic Thresholds," IMF Working Papers 2012/159, International Monetary Fund.
    14. Firano, Zakaria & Filali adib, Fatine, 2018. "Prevision des difficultes bancaires : un modele d'alerte precoce pour le cas du maroc [Prediction of banking difficulties: an early warning model for moroccan banking system]," MPRA Paper 95165, University Library of Munich, Germany.
    15. Filippopoulou, Chryssanthi & Galariotis, Emilios & Spyrou, Spyros, 2020. "An early warning system for predicting systemic banking crises in the Eurozone: A logit regression approach," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 344-363.
    16. ?tefan Rychtárik & Franco Stragiotti, 2009. "Liquidity Risk Monitoring Framework: A Supervisory Tool," BCL working papers 43, Central Bank of Luxembourg.
    17. Hamdaoui, Mekki, 2016. "Are systemic banking crises in developed and developing countries predictable?," Journal of Multinational Financial Management, Elsevier, vol. 37, pages 114-138.
    18. Calice, Pietro, 2014. "Predicting bank insolvency in the Middle East and North Africa," Policy Research Working Paper Series 6969, The World Bank.

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