A study of financial distress prediction of listed corporations with sport vector machines model

This paper uses support vector machines to establish a new model of financial distress prediction, with Chinese listed corporations as samples. After rectifying the model, it gets higher predicting precision and better generalization capability. Comparing to other warning models, support vector machines model for listed corporations in financial distress prediction really has bigger application foreground because of its better characters such as user-friendly and higher accuracy rate.