The Dynamics of Non-Performing Loans during Banking Crises: A New Database
This paper presents a new dataset on the dynamics of non-performing loans (NPLs) during 88 banking crises since 1990. The data show similarities across crises during NPL build-ups but less so during NPL resolutions. We find a close relationship between NPL problems—elevated and unresolved NPLs—and t...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
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Washington, D.C.
International Monetary Fund
2019
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| Series: | IMF Working Papers
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| Subjects: | |
| Online Access: | |
| Collection: | International Monetary Fund - Collection details see MPG.ReNa |
| Summary: | This paper presents a new dataset on the dynamics of non-performing loans (NPLs) during 88 banking crises since 1990. The data show similarities across crises during NPL build-ups but less so during NPL resolutions. We find a close relationship between NPL problems—elevated and unresolved NPLs—and the severity of post-crisis recessions. A machine learning approach identifies a set of pre-crisis predictors of NPL problems related to weak macroeconomic, institutional, corporate, and banking sector conditions. Our findings suggest that reducing pre-crisis vulnerabilities and promptly addressing NPL problems during a crisis are important for post-crisis output recovery |
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| Physical Description: | 40 pages |
| ISBN: | 9781513521152 |