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Journal of Banking & Finance Vol. 133 2021

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

Anil Ari1; Sophia Chen1; Lev Ratnovski1,2

1 International Monetary Fund · 2 European Central Bank

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.

DOI
10.1016/j.jbankfin.2021.106140
Volume
133
Pages
106140
Language
en
Sources
openalex crossref bibtex:phds-export.bib

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