Fisher linear discriminant;
Listed company;
Financial crisis;
Early warning;
BANKRUPTCY PREDICTION;
D O I:
10.2478/amns.2022.2.0032
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
This article first uses a new method of nonlinear combination forecasting based on neural networks to construct a financial crisis early warning model and conduct an empirical study. The drafting article uses Fisher's second-class linear discriminant analysis and binary logistic regression to establish a three-year early warning model for listed companies before the financial crisis. Empirical research shows that this early warning model applies to various industries. It can play a certain role in predicting and preventing the financial crisis of Chinese companies.