首页|基于XGBoost模型的中小企业财务危机风险预测方法

基于XGBoost模型的中小企业财务危机风险预测方法

扫码查看
为提高中小企业财务危机风险预测精度,提高预测性能,引入XGBoost模型,开展中小企业财务危机风险预测方法设计研究.建立中小企业财务危机预警指标体系,包含盈利能力、营运能力等一级指标和营业利润率、净资产收益率等二级指标.针对指标变量相关性和重叠性的问题,引入主成分分析方法,对数据处理.利用XGBoost,构建财务危机预测模型,实现风险预测.通过对比实验证明,新的预测方法预测结果ROC曲线更趋近于左上,说明预测性能得到显著提升.
A Financial Crisis Risk Prediction Method for Small and Medium Enterprises Based on XGBoost Model
In order to improve the financial crisis risk prediction accuracy of small and medium-sized enterprises,the XGBoost model is introduced to carry out the design and research of the financial crisis risk prediction method of small and medium-sized enterprises.Establish a financial crisis early warning index system for small and medium-sized enterprises,including first-level indicators such as profitability and operating capacity,and second-level indicators such as operating profit margin and re-turn on equity.To solve the problem of the correlation and overlap of index variables,the principal component analysis method is introduced to process the data.Using XGBoost,build the financial crisis prediction model,to realize the risk prediction.Through comparative experiments,we show that the ROC curve of the new prediction method is closer to the upper left,indicating that the prediction per-formance is significantly improved.

XGBoost modelfinancialrisk forecastcrisisSME

李瑾

展开 >

安徽商贸职业技术学院电子商务学院,安徽 芜湖 241000

XGBoost模型 财务 风险预测 危机 中小企业

安徽省科学研究重点项目

2023AH052294

2024

佳木斯大学学报(自然科学版)
佳木斯大学

佳木斯大学学报(自然科学版)

影响因子:0.159
ISSN:1008-1402
年,卷(期):2024.42(7)