01808cas a2200265 a 4500 AALejournalIMF016067 230101c9999 xx r poo 0 0eng d 5.00 USD 9781513521152 1018-5941 BD-DhAAL BD-DhAAL Ari, Anil. The Dynamics of Non-Performing Loans during Banking Crises : A New Database / Anil Ari, Sophia Chen, Lev Ratnovski. Washington, D.C. : International Monetary Fund, 2019. 1 online resource (40 pages) IMF Working Papers <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required Electronic access restricted to authorized BRAC University faculty, staff and students 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. Mode of access: Internet Chen, Sophia. Ratnovski, Lev. IMF Working Papers; Working Paper ; No. 2019/272 Full text available on IMF http://elibrary.imf.org/view/journals/001/2019/272/001.2019.issue-272-en.xml IMF e-Library