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A meta-learning framework for bankruptcy prediction
Tsai, Chih-fong; Hsu, Yu-feng - In: Journal of forecasting 32 (2013) 2, pp. 167-179
Persistent link: https://www.econbiz.de/10009758667
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Bootstrap replacement to validate the influence of the economic cycle on the structure and the accuracy level of business failure prediction models
Manzaneque, Monserrat; Garcia Pérez de Lema, Domingo; … - In: Journal of forecasting 34 (2015) 4, pp. 275-289
Persistent link: https://www.econbiz.de/10011305181
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A robust data-mining approach to bankruptcy prediction
Divsalar, Mehdi; Roodsaz, Habib; Vahdatinia, Farshad; … - In: Journal of forecasting 31 (2012) 6, pp. 504-523
Persistent link: https://www.econbiz.de/10009661523
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Forecasting forward defaults with the discrete-time hazard model
Hwang, Ruey-ching; Chu, Chih-kang - In: Journal of forecasting 33 (2014) 2, pp. 108-123
Persistent link: https://www.econbiz.de/10010424865
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Nonparametric quantile regression-based classifiers for bankruptcy forecasting
Lorca, Pedro; Landajo, Manuel; Andrés Suárez, Javier de - In: Journal of forecasting 33 (2014) 2, pp. 124-133
Persistent link: https://www.econbiz.de/10010424866
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Rough sets bankrupty predicton models versus auditor signalling rates
McKee, Thomas E. - In: Journal of forecasting 22 (2003) 8, pp. 569-586
Persistent link: https://www.econbiz.de/10001863396
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Predicting bankruptcy using recursive partitioning and a realistically proportioned data set
McKee, Thomas E.; Greenstein, Marilyn - In: Journal of forecasting 19 (2000) 3, pp. 219-230
Persistent link: https://www.econbiz.de/10001473497
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Firm dynamics and bankruptcy processes : a new theoretical model
Çelik, Şaban; Aktan, Bora; Burton, Bruce G. - In: Journal of forecasting 41 (2022) 3, pp. 567-591
Persistent link: https://www.econbiz.de/10013166161
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Multiperiod default probability forecasting
Blümke, Oliver - In: Journal of forecasting 41 (2022) 4, pp. 677-696
Persistent link: https://www.econbiz.de/10013287842
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Corporate failure prediction using threshold-based models
Veganzones, David - In: Journal of forecasting 41 (2022) 5, pp. 956-979
Persistent link: https://www.econbiz.de/10013287892