Three-State Financial Distress Prediction Based on Support Vector Machine

  • Authors:

  • Hongshan Yao

  • Affiliations:

  • Zhongnan University of Economics and Law, Wuhan, China

  • Venue:
  • ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
  • Year:
  • 2009

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Abstract

This paper examines the three-state financial distress prediction using support vector machine (SVM) and compares the classification results with the one using multinominal logit analysis(MLA).The results show that SVM provides better three-state classification than MLA. The model using SVM has better generalization than the model using MLA.