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Total credit as an early warning indicator for systemic banking crises

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  • Mathias Drehmann

Abstract

Credit-to-GDP gaps are valuable early warning indicators for systemic banking crises. As such, they are useful for identifying vulnerabilities and can help guide the deployment of macroprudential tools such as the build-up of countercyclical capital buffers. In line with Basel III recommendations, credit-to-GDP gaps can be further improved by taking account of all sources of credit to the private non-financial sector, rather than just bank credit. Drawing on a new BIS database, this special feature finds that total credit developments predict the risk of systemic crises better than indicators based solely on bank credit.

Suggested Citation

  • Mathias Drehmann, 2013. "Total credit as an early warning indicator for systemic banking crises," BIS Quarterly Review, Bank for International Settlements, June.
    • Handle: RePEc:bis:bisqtr:1306f
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    References listed on IDEAS

    as
    1. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    2. Stefan Avdjiev & Robert McCauley & Patrick McGuire, 2012. "Rapid credit growth and international credit: Challenges for Asia," BIS Working Papers 377, Bank for International Settlements.
    3. Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The Unreliability of Credit-to-GDP Ratio Gaps in Real Time: Implications for Countercyclical Capital Buffers," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 261-298, December.
    4. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    5. repec:rnp:ecopol:09111 is not listed on IDEAS
    6. Pierre-Olivier Gourinchas & Maurice Obstfeld, 2012. "Stories of the Twentieth Century for the Twenty-First," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(1), pages 226-265, January.
    7. Claudio Borio & Mathias Drehmann, 2009. "Assessing the risk of banking crises - revisited," BIS Quarterly Review, Bank for International Settlements, March.
    8. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    9. Christian Dembiermont & Mathias Drehmann & Siriporn Muksakunratana, 2013. "How much does the private sector really borrow - a new database for total credit to the private non-financial sector," BIS Quarterly Review, Bank for International Settlements, March.
    10. Òscar Jordà & Moritz Schularick & Alan M Taylor, 2011. "Financial Crises, Credit Booms, and External Imbalances: 140 Years of Lessons," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 59(2), pages 340-378, June.
    11. Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The unreliability of credit-to-GDP ratio gaps in real-time: Implications for countercyclical capital buffers," Finance and Economics Discussion Series 2011-37, Board of Governors of the Federal Reserve System (U.S.).
    12. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2011. "Anchoring Countercyclical Capital Buffers: The role of Credit Aggregates," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 189-240, December.
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    More about this item

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises

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