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An empirical comparison of classification algorithms for mortgage default prediction : evidence from a distressed mortgage market
Fitzpatrick, Trevor; Mues, Christophe - In: European journal of operational research : EJOR 249 (2016) 2, pp. 427-439
Persistent link: https://www.econbiz.de/10011436704
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Predicting loss given default (LGD) for residential mortgage loans : a two-stage model and empirical evidence for UK bank data
Leow, Mindy; Mues, Christophe - In: International journal of forecasting 28 (2012) 1, pp. 183-195
Persistent link: https://www.econbiz.de/10009581989
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How can lenders prosper? : comparing machine learning approaches to identify profitable peer-to-peer loan investments
Fitzpatrick, Trevor; Mues, Christophe - In: European journal of operational research : EJOR 294 (2021) 2, pp. 711-722
Persistent link: https://www.econbiz.de/10012595900
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A transformer-based model for default prediction in mid-cap corporate markets
Korangi, Kamesh; Mues, Christophe; Bravo, Cristián - In: European journal of operational research : EJOR 308 (2023) 1, pp. 306-320
Persistent link: https://www.econbiz.de/10014283041
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Solutions to specification errors in stress testing models
Breeden, Joseph L.; Thomas, Lyn C. - In: Journal of the Operational Research Society : OR 67 (2016) 6, pp. 830-840
Persistent link: https://www.econbiz.de/10011517475
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Benchmarking state-of-the-art classification algorithms for credit scoring : an update of research
Lessmann, Stefan; Baesens, Bart; Seow, Hsin-Vonn; … - In: European journal of operational research : EJOR 247 (2015) 1, pp. 124-136
Persistent link: https://www.econbiz.de/10011347117