A two‐stage Bayesian network model for corporate bankruptcy prediction

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...

Full description

Bibliographic Details
Main Authors: Cao, Yi, Liu, Xiaoquan, Zhai, Jia, Hua, Shan
Format: Article
Language:English
Published: John Wiley and Sons Ltd 2020
Subjects:
Bayesian network; LASSO; Accounting ratios; Sensitivity analysis; Interpretability analysis
Online Access:https://eprints.nottingham.ac.uk/61457/

Similar Items

Similar Items