摘要
借鉴国内外已经比较成熟的研究成果,将中国上市公司因财务状况异常而被特别处理(ST)作为企业陷入财务困境的标志,采用主成分分析方法确定模型变量,并利用Logit回归建立财务困境预警模型;然后用财务困境企业样本数据进行分析,并与财务正常企业的数据进行比较。分析结论表明,财务指标包含了预测财务困境的有用信息。
Following the customary research results abroad, this article takes public listed enterprises that have been marked ST due to abnormal financial situation as enterprises in financial distress. The principal component analysis is employed to identify model variants and modeling prewarning of financial distress by the Logit model. Sample data of enterprises in financial distress are analyzed and compared with those in normal financial operation. It is conclude that financial indicators are informative in forecasting financial distress.
出处
《北京邮电大学学报（社会科学版）》
2009年第3期72-75,共4页
Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)
关键词
财务困境
判别分析
LOGIT回归
上市公司
financial distress
multivariate discrimination analysis
Logit regression
companies listed in China stock market
