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Procyclicality and the Search for Early Warning Indicators

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  • Hyun S Shin

Abstract

This paper compares three types of early warning indicators of financial instability – those based on financial market prices, those based on normalized measures of total credit and those based on liabilities of financial intermediaries. Prices perform well as concurrent indicators of market conditions but are not suitable as early warning indicators. Total credit and liabilities convey similar information and perform better as early warning indicators, but liabilities are more transparent and the decomposition between core and non-core liabilities convey additional useful information.

Suggested Citation

  • Hyun S Shin, 2013. "Procyclicality and the Search for Early Warning Indicators," IMF Working Papers 13/258, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:13/258
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    References listed on IDEAS

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    1. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
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    5. 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.
    6. Silvia Merler & Jean Pisani-Ferry, 2012. "Sudden Stops in the Euro Area," Review of Economics and Institutions, Università di Perugia, vol. 3(3).
    7. Joon‐Ho Hahm & Hyun Song Shin & Kwanho Shin, 2013. "Noncore Bank Liabilities and Financial Vulnerability," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45, pages 3-36, August.
    8. Ivashina, Victoria & Scharfstein, David, 2010. "Bank lending during the financial crisis of 2008," Journal of Financial Economics, Elsevier, vol. 97(3), pages 319-338, September.
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    Citations

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    Cited by:

    1. Kim, Myeong Hyeon & Kim, Baeho, 2014. "Systematic cyclicality of systemic bubbles: Evidence from the U.S. commercial banking system," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 281-297.
    2. Stijn Claessens & M. Ayhan Kose & Luc Laeven & Fabián Valencia, 2013. "Understanding Financial Crises: Causes, Consequences, and Policy Responses," Koç University-TUSIAD Economic Research Forum Working Papers 1301, Koc University-TUSIAD Economic Research Forum.
    3. T. Bennani & C. Couaillier & A. Devulder & S. Gabrieli & J. Idier & P. Lopez & T. Piquard & V. Scalone, 2017. "An analytical framework to calibrate macroprudential policy," Working papers 648, Banque de France.
    4. 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.
    5. Fanny Warman D., 2015. "Manejo del Balance Bancario en México," Documentos de Investigación - Research Papers 18, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    6. Gabriele Galati & Irma Hindrayanto & Siem Jan Koopman & Marente Vlekke, 2016. "Measuring financial cycles with a model-based filter: Empirical evidence for the United States and the euro area," DNB Working Papers 495, Netherlands Central Bank, Research Department.
    7. Tanaka, Katsuyuki & Kinkyo, Takuji & Hamori, Shigeyuki, 2016. "Random forests-based early warning system for bank failures," Economics Letters, Elsevier, vol. 148(C), pages 118-121.
    8. Sohn, Bumjean & Park, Heungju, 2016. "Early warning indicators of banking crisis and bank related stock returns," Finance Research Letters, Elsevier, vol. 18(C), pages 193-198.
    9. V. Coudert & J. Idier, 2016. "An Early Warning System for Macro-prudential Policy in France," Working papers 609, Banque de France.

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