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This paper extends what we know about loss given default (LGD) by examining a newly available dataset on commercial real estate (CRE) loan losses. These data come from 295 failed banks resolved by the FDIC using loss-share agreements between 2008 and 2013. We examine over 14,000 distressed CRE...
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, develops logit model to examine mortgage loan borrowers' characteristics that determine their default probability. Similar data …
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have higher mortgage delinquency and charge-off rates and significantly higher probabilities of failure during the last … stronger capital buffers. Our results suggest that there is scope for improved measures of mortgage loan risk that could be …
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We develop a theoretical model of mortgage loss rates that evaluates their main underlying risk factors. Following the … mortgage loss rates. In addition, we show potential applications of the model for different macroprudential instruments: stress …
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A model of mortgage defaults is built into the standard incomplete markets model. Households face income and house … the risk of default. The model accounts for the observed patterns of housing consumption, mortgage borrowing, and defaults …. Default-prevention policies are evaluated. The mortgage default rate, housing demand, households' ability to self-insure, and …
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