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- W2995308001 abstract "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." @default.
- W2995308001 created "2019-12-26" @default.
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- W2995308001 date "2019-12-06" @default.
- W2995308001 modified "2023-09-26" @default.
- W2995308001 title "The Dynamics of Non-Performing Loans during Banking Crises: A New Database" @default.
- W2995308001 doi "https://doi.org/10.5089/9781513521152.001.a001" @default.
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