Bankruptcy Prediction Using KrigingModeling

摘要：

The application of Kriging method in economic modeling and forecasting b researched in this paper. As a spatial correlation parametric regression modeling approach, the Kriging method differs from the polynomial regression in that it can capture complex, possibly nonlinear rends in response without strong assumptions about the functional form of the trends, just like artificial neural networks (ANN). ANN used to modeling and forecasting has engaged the attention of economists for years. However, the application of Kriging method is seldom reported in the economic literatures. The motivation of this study comes from this lack of consideration. The method of bankruptcy predictions to listed companies is presented using Kriging modeling. The forecasting accuracy and computational cost of Kriging models are compared with those of ANN models in the case.

关键词： Kriging method Economic forecasting Artificial neural network Bankruptcy prediction

作者: Lu Bai Yuan Ren Guangchen Bai

作者单位: School of Economics and Management Beijing Jiaotong University Beijing, China School of Jet Propulsion Beihang University Beijing, China

会议类型: 国际会议

会议名称: 2011 International Conference on Economic and Information Management(2011年经济与信息管理国际会议 ICEIM 2011)

会议地点: 北京

会议语种:英文

页码: 91-93

在线出版日期: 2011-09-03（万方平台首次上网日期，不代表论文的发表时间）