A two‐stage Bayesian network model for corporate bankruptcy prediction
We develop a Bayesian network (LASSO-BN) model for firm bankruptcy prediction. We select fnancial 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 th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
John Wiley and Sons Ltd
2020
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/61457/ |