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- W2060965741 abstract "Traditional bankruptcy prediction models, designed using classification or regression techniques, achieve short-term performances (1 year) that are fairly good, but that often worsen when the prediction horizon exceeds 1 year. We show how to improve the performance of such models beyond 1 year using models that take into account the evolution of firm’s financial health over a short period of time. For this purpose, we design models that fit the underlying failure process of different groups of firms. Our results demonstrate that such models lead to better prediction accuracy at a 3-year horizon than that achieved with common models." @default.
- W2060965741 created "2016-06-24" @default.
- W2060965741 creator A5019867121 @default.
- W2060965741 date "2015-04-01" @default.
- W2060965741 modified "2023-10-16" @default.
- W2060965741 title "Bankruptcy prediction using terminal failure processes" @default.
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- W2060965741 doi "https://doi.org/10.1016/j.ejor.2014.09.059" @default.
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