基于因子分析和SVM模型的化学制品行业财务预警研究
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摘要
针对化学制品行业财务预警研究,运用变异系数、相关系数剔除含有重复信息的财务指标,运用因子分析法进行降维处理,得到反映财务状况的盈利和偿债两个主因子,降低指标的复杂性。在简化的指标体系中,建立基于支持向量机的财务分类预警模型,为企业财务管理以及股市投资者提供相关参考。
For the financial early warning research of chemical industry, the coefficient of variation and correlation coefficient are used to eliminate the financial indicators with duplicate information, and the factor analysis method is used to reduce the dimensionality. The two main factors of profit and debt repayment are reflected. The complexity. In the simplified index system, a financial classification warning model based on support vector machine is established,which provides relevant reference for enterprise financial management and stock market investors.
For the financial early warning research of chemical industry, the coefficient of variation and correlation coefficient are used to eliminate the financial indicators with duplicate information, and the factor analysis method is used to reduce the dimensionality. The two main factors of profit and debt repayment are reflected. The complexity. In the simplified index system, a financial classification warning model based on support vector machine is established,which provides relevant reference for enterprise financial management and stock market investors.
引文
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[8]王家洲.基于综合分析法的企业风险预警研究[J].商场现代化,2018(17):75-77
[9]王玉冬,王迪,王珊珊.基于PSO-BP和FOA-BP神经网络的财务机预警模型比较[J].统计与决策,2018,34(15):177-179
[10]周志华.机器学习:=Machine learning[M].北京:清华大学出版社, 2016
[11]朱家明,邢康.基于因子分析对我国上市医药公司经营绩效的研究[J].青海师范大学学报:自然科学版:2018,34(03):69-74
[2]LeeKD.Patternclassificationandclusteringalgorithmswithsupervisedandunsupervisedneuralnetworksinfinancial applications[M]. America:Kent State University Publishing House, 2001
[3]浦军,刘娟.财务状况质量与财务机研究——基于LOGISTIC模型的实证分析[J].经济问题,2009(10):115-118
[4]金德哲.林业企业建立财务预警系统探究[J].中国市场,2018(35):104-105
[5]魏慧萍.中小企业财务风险预警机制建设的思考[J].纳税,2018,12(31):128
[6]黄宏运,朱家明,赵云,等.基于因子分析的有导师监督型Kohonen神经网络在公司财务预警中的应用研究——以2015年24家上市公司为例[J].延边大学学报:自然科学版,2017,43(02):158-166
[7]樊林堉.基于趋势性信息改进logistic财务预警模型[J].经营与管理,2018(10):140-142
[8]王家洲.基于综合分析法的企业风险预警研究[J].商场现代化,2018(17):75-77
[9]王玉冬,王迪,王珊珊.基于PSO-BP和FOA-BP神经网络的财务机预警模型比较[J].统计与决策,2018,34(15):177-179
[10]周志华.机器学习:=Machine learning[M].北京:清华大学出版社, 2016
[11]朱家明,邢康.基于因子分析对我国上市医药公司经营绩效的研究[J].青海师范大学学报:自然科学版:2018,34(03):69-74