节点文献
我国上市公司财务困境预测模型比较研究
Comparative Study of the Forecasting Model of Financial Distress in Our Country’s Listed Corporations
【摘要】 本文采用三种多元统计分析及人工智能方法分别对我国上市公司财务困境预测进行了实证研究,建立了四种预测模型。判定结果表明,该四种方法都可以用来进行财务困境预测,但判定效果是有差异的,Logistic模型是最有效的一种方法。
【Abstract】 In this paper, three multivariate analysis method and artificial intelligence method are applied to make a positive study of the forecast research about financial distress in China’s listed corporations , and four forecasting models are established. The result of the discrimination shows that all theses four methods can be used in forecasting the financial distress, but the effects are different , of which the effect of logistic model is the best.
【关键词】 财务困境;
判别分析;
主成分分析;
Logistic模型;
BP神经网络;
【Key words】 Financial Distress; Discriminating Analysis; Principal Component Analysis; Logistic Regressive Model; BP Neural Network;
【Key words】 Financial Distress; Discriminating Analysis; Principal Component Analysis; Logistic Regressive Model; BP Neural Network;
- 【文献出处】 现代财经-天津财经学院学报 ,Modern Finance and Economics , 编辑部邮箱 ,2004年05期
- 【分类号】F830.9
- 【被引频次】40
- 【下载频次】563