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|z 9781513521152
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|a 1018-5941
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|a BD-DhAAL
|c BD-DhAAL
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|a Ari, Anil.
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|a The Dynamics of Non-Performing Loans during Banking Crises :
|b A New Database /
|c Anil Ari, Sophia Chen, Lev Ratnovski.
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|a Washington, D.C. :
|b International Monetary Fund,
|c 2019.
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|a 1 online resource (40 pages)
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|a IMF Working Papers
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|a <strong>Off-Campus Access:</strong> No User ID or Password Required
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|a <strong>On-Campus Access:</strong> No User ID or Password Required
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|a Electronic access restricted to authorized BRAC University faculty, staff and students
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|a 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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|a Mode of access: Internet
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|a Chen, Sophia.
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|a Ratnovski, Lev.
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|a IMF Working Papers; Working Paper ;
|v No. 2019/272
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| 856 |
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|z Full text available on IMF
|u http://elibrary.imf.org/view/journals/001/2019/272/001.2019.issue-272-en.xml
|z IMF e-Library
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