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• W3048798287 abstract "Abstract We develop a Bayesian network (LASSO‐BN) model for firm bankruptcy prediction. We select financial ratios via the Least Absolute Shrinkage Selection Operator (LASSO), establish the BN topology, and estimate model parameters. Our empirical results, based on 32,344 US firms from 1961–2018, show that the LASSO‐BN model outperforms most alternative methods except the deep neural network. Crucially, the model provides a clear interpretation of its internal functionality by describing the logic of how conditional default probabilities are obtained from selected variables. Thus our model represents a major step towards interpretable machine learning models with strong performance and is relevant to investors and policymakers." @default.
• W3048798287 created "2020-08-18" @default.
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• W3048798287 date "2020-08-10" @default.
• W3048798287 modified "2023-10-17" @default.
• W3048798287 title "A two‐stage Bayesian network model for corporate bankruptcy prediction" @default.
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• W3048798287 doi "https://doi.org/10.1002/ijfe.2162" @default.
• W3048798287 hasPublicationYear "2020" @default.
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