Education, Science, Technology, Innovation and Life
Open Access
Sign In

Accurate Prediction Model of Financial Early-warning for Listed Companies Based on Logistics Regression Analysis

Download as PDF

DOI: 10.23977/eeim.2018.020


Yang Suqin, Li Yue

Corresponding Author

Yang Suqin


To improve the ability of financial early-warning and accounting statistical analysis of listed companies, an accurate forecasting model of financial early warning for listed companies based on logistics regression analysis was proposed. The explanatory variable model and control variable model of financial early-warning of listed company are constructed, the information flow of financial management data of listed company is set up, and the characteristic quantity of financial early-warning of listed company is analyzed by descriptive statistical analysis method. This paper recombines the sample data of listed companies with nonlinear characteristics, and the panel data matching method is used to test and analyze the financial warning data of listed companies by linear piecewise sample. The logistics regression analysis method is used to realize the financial early-warning and accurate forecast of listed companies. The experimental results show that the model is accurate and robust.


Logistics Regression Analysis, Listed Company, Financial Early-Warning, Accounting

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.