English

A New Methodology for Estimating Internal Credit Risk and Bankruptcy Prediction under Basel II Regime

Economics 2015-02-04 v1 Risk Management

Abstract

Credit estimation and bankruptcy prediction methods have been utilizing Altman's zz score method for the last several years. It is reported in many studies that zz score is sensitive to changes in accounting figures. Researches have proposed different variations to conventional zz score that can improve the prediction accuracy. In this paper we develop a new multivariate non-linear model for computing the zz score. In addition we develop a new credit risk index by fitting a Pearson type-III distribution to the transformed financial ratios. The results from our study have shown that the new zz score can predict the bankruptcy with an accuracy of 98.6%98.6\% as compared to 93.5%93.5\% by the Altman's zz score. Also, the discriminate analysis revealed that the new transformed financial ratios could predict the bankruptcy probability with an accuracy of 93.0%93.0\% as compared to 87.4%87.4\% using the weights of Altman's zz score.

Keywords

Cite

@article{arxiv.1502.00882,
  title  = {A New Methodology for Estimating Internal Credit Risk and Bankruptcy Prediction under Basel II Regime},
  author = {M. Naresh Kumar and V. Sree Hari Rao},
  journal= {arXiv preprint arXiv:1502.00882},
  year   = {2015}
}

Comments

14 pages, 1 figure in Computational Economics, 2014