摘要
选取我国保险行业中40家非寿险公司2006-2008年的混合非平衡面板数据作为研究样本，采用径向基神经网络模型从偿付能力、盈利能力、成长能力三个角度对非寿险公司财务预警进行研究。实证表明，此模型可以为管理层的财务预警提供更有有效的信息，并且在我国保险业具有样本量小，有效数据少的情况下，有着良好的运用前詈。
The mixed unbalanced panel data were selected from 40 non--life insurance compa- nies from 2006 to 2008, then empirical study on financial warning from the aspects of the ability of solvency, profitability and growth was been done by RBF neural network model. The results showed this model can provide more effective financial warning information to managers. The application of this model is optimistic in our country because of the small sample and scarcity of effective data.
出处
《财经理论与实践》
CSSCI
北大核心
2011年第1期25-29,共5页
The Theory and Practice of Finance and Economics
关键词
径向基神经网络
财务预警
混合非平衡面板数据
Radial Basis Function Neural Network
Financial Warning
Mixed Unbalanced Panel Data
