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公司运营危机预警模型的比较研究——以中国上市公司为例
引用本文:李同正,孙林岩,冯泰文.公司运营危机预警模型的比较研究——以中国上市公司为例[J].河南社会科学,2012,20(6):52-54,108.
作者姓名:李同正  孙林岩  冯泰文
作者单位:西安交通大学 管理学院,陕西 西安,710004
摘    要:研究当前国内外公司运营危机预警问题的现状,首先要寻找一套适合于我国上市公司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运营危机预警模型,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警效果进行比较分析与实证研究。结果表明,分类树模型的三年期预警准确率都在80%以上。

关 键 词:运营危机预警  判别分析  logistic回归  BP神经网络  分类树

Comparing Research of Different Operational Distress Early-warning Models——Taking Chinese Listed corporations as Example
Li Tongzheng, San Linyan, Feng Taiwen.Comparing Research of Different Operational Distress Early-warning Models——Taking Chinese Listed corporations as Example[J].Henan Social Sciences,2012,20(6):52-54,108.
Authors:Li Tongzheng  San Linyan  Feng Taiwen
Institution:Li Tongzheng, San Linyan, Feng Taiwen
Abstract:Considering the international and domestic actuality of corporate operational distress early-warning. We put forward some methods and guide lines, so as to some distinguished indices can be selected. Thus operational distress early-warning models applied to Chinese listed corporations are developed. Finally, demonstration research and comparison of the early-warning models is carried out using actual data. The results indicate that the classification tree model outperforms discriminant analysis, logistic regression and BP artificial networks models with discrimicant accurate rate of 80%.
Keywords:operational distress early-warning  discriminant analysis  logistic regression  BP artificial networks  classification tree
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