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The dynamics of non-performing loans during banking crises: A new database with post-COVID-19 implications

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  • Ari, Anil
  • Chen, Sophia
  • Ratnovski, Lev

Abstract

We present a new dataset on the dynamics of non-performing loans (NPLs) during 92 banking crises since 1990. The data show similarities across crises in NPL buildup but much heterogeneity in the pace of NPL resolution. We document how high and unresolved NPLs deepen post-crisis recessions and use a machine learning approach to establish pre-crisis predictors of NPL problems. These predictors—a set of weak macroeconomic, institutional, corporate, and banking sector conditions—help shed light on post-COVID-19 NPL vulnerabilities.

Suggested Citation

  • Ari, Anil & Chen, Sophia & Ratnovski, Lev, 2021. "The dynamics of non-performing loans during banking crises: A new database with post-COVID-19 implications," Journal of Banking & Finance, Elsevier, vol. 133(C).
    • Handle: RePEc:eee:jbfina:v:133:y:2021:i:c:s0378426621000984
    DOI: 10.1016/j.jbankfin.2021.106140
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    More about this item

    Keywords

    Non-performing loans; Debt; Banking crises; Recessions; Crisis resolution; COVID;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • N10 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - General, International, or Comparative
    • N20 - Economic History - - Financial Markets and Institutions - - - General, International, or Comparative

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