Financial Crisis Early Warning Model of Listed Companies Based on Fisher Linear Discriminant Analysis

被引:0
|
作者
Li, Jie [1 ]
Alalkawi, Talal [2 ]
机构
[1] Wuhai Vocat & Tech Coll, Educ Technol Stat, Wuhai 016000, Peoples R China
[2] Appl Sci Univ, Coll Adm Sci, Al Ekir, Bahrain
关键词
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.
引用
收藏
页码:483 / 490
页数:8
相关论文
empty
未找到相关数据