Predicting Bank Insolvency in the Middle East and North Africa
This paper uses a panel of annual observations for 198 banks in 19 Middle East and North Africa countries over 2001-12 to develop an early warning system for forecasting bank insolvency based on a multivariate logistic regression framework. The res...
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Language: | English en_US |
Published: |
World Bank Group, Washington, DC
2014
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Online Access: | http://documents.worldbank.org/curated/en/2014/07/19875103/predicting-bank-insolvency-middle-east-north-africa http://hdl.handle.net/10986/19356 |
Summary: | This paper uses a panel of annual
observations for 198 banks in 19 Middle East and North
Africa countries over 2001-12 to develop an early warning
system for forecasting bank insolvency based on a
multivariate logistic regression framework. The results show
that the traditional CAMEL indicators are significant
predictors of bank insolvency in the region. The predictive
power of the model, both in-sample and out-of-sample, is
reasonably good, as measured by the receiver operating
characteristic curve. The findings of the paper suggest that
banking supervision in the Middle East and North Africa
could be strengthened by introducing a fundamentals-based,
off-site monitoring system to assess the soundness of
financial institutions. |
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