期刊文献+

不同模型在财务预警实证中的比较研究 被引量:39

A Comparison of Each Model’s Ability to Warn for Financial Distress
下载PDF
导出
摘要 研究当前国内外公司财务困境预测问题的现状,寻找一套适合于我国企业的财务状况识别指标体系;然后依据该指标体系采用不同方法建立财务状况预测模型;最后,利用样本公司实际指标数据对各个模型的短期及中期预测效果进行了比较分析与实证研究。 Considering the international actuality of corporate financial distress prediction,we put foreard some methods and guide lines,so as to some distinguished index can be selected.Thus financial distress prediction models applied to Chinese corporations is developed.Finally,demonstration research and comparison of the prediction models is carried out in use of actural index data.
出处 《管理工程学报》 CSSCI 2004年第2期105-108,共4页 Journal of Industrial Engineering and Engineering Management
基金 国家863项目资助(2002AA41361)
关键词 财务困境 判别分析 BP神经网络 LOGISTIC回归 financial distress discriminant analysis BP neutral network logistic regression
  • 相关文献

参考文献10

  • 1Altman E. Financial Ratios, Discriminant analysis and the prediction of corporate bankruptcy [ J ]. Journal of Finance, 1968,9.
  • 2Altman E. Corporate financial distress [ C ]. New York University Working Paper, 1983.
  • 3Altman E., J. Hartzell, and M. Peck. Emerging markets corporate bonds: a scoring system[ M]. Salomon Brothers Inc. New York, 1995.
  • 4MartinD. Early warning of bank failtre: a logit regression approach [ J ].Journal of Banking and Finance, 1977:249 ~ 276.
  • 5Bell T.G. Ribar and J Verchio. Neural nets versus logistic regression:a comparison of each model's ability to predict commercial bank failures [M]. Proceedings of the 1990 Deloitte & Touche/University of Kansas Symposium on Auditing Problems, 1990:29 ~ 53.
  • 6Edmister R. An empirical test of financial ratio analysis for small business failure prediction [ J ]. Journal of Finance and Quantitative Analysis, 1972,5: 1477 ~ 1493.
  • 7杨保安,季海,徐晶,温金祥.BP神经网络在企业财务危机预警之应用[J].预测,2001,20(2):49-54. 被引量:118
  • 8方开泰.实用多元统计分析[M].华东师范大学出版社,1992..
  • 9Hecht Nielsen R. Neuro computing[ M ]. Addison Wesley, 1990; 124 -133.
  • 10Matlab. Matlab Users Guide[M].The Mathworks Inc,South Natick,MA, USE, 1994.

二级参考文献1

共引文献125

同被引文献367

引证文献39

二级引证文献244

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部