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基于主成分分析方法的上市公司财务危机预警研究
引用本文:蔡伟斌 等. 基于主成分分析方法的上市公司财务危机预警研究[J]. 价值工程, 2014, 0(9): 137-139
作者姓名:蔡伟斌 等
作者单位:华南理工大学工商管理学院,广州510640
摘    要:本文通过配比性原则和对在2010年被ST的上市公司t-2年财务数据进行主成分分析研究,建立模型并确定综合预警值F判定模型是否具有预警性。结果显示,基于主成分分析的方法能较好地作出上市公司财务状况是否将陷入财务危机的预警警示。

关 键 词:财务危机预警  配对样本t检验  主成分分析

Research on Financial Crisis Early Warning of Listed Companies Based on Principal Component Analysis Method
CAI Wei-bin,CUI Yi. Research on Financial Crisis Early Warning of Listed Companies Based on Principal Component Analysis Method[J]. Value Engineering, 2014, 0(9): 137-139
Authors:CAI Wei-bin  CUI Yi
Affiliation:( School of Business Administration, South China University of Technology, Guangzhou 510640, China )
Abstract:Through the proportion principle and the principal component analysis research of ST for the t-2 years financial data in 2010, this paper establishes model and comprehensively determines whether the early warning value F determination mode has early warning. The results show that principal component analysis method can better make early warning alerts for whether the listed companies' financial position fall into financial crisis.
Keywords:financial crisis early warning  paired samples t test  principal component analysis
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