The sheer volume of debt hanging over Asian companies suggests that corporate insolvency should remain a top policy concern.  This, despite signs of improvement resulting from dramatic regulatory overhauls that followed the 1997-1998 Asian financial crisis.  Moreover, the absence of widespread...

The sheer volume of debt hanging over Asian companies suggests that corporate insolvency should remain a top policy concern. This conference proceedings presents reports from each country on the trends and developments in debt and credit risk since the 1997-1998 Asian financial crisis. It also...

This paper proposes a rating methodology that is based on a non-linear classification method, the support vector machine, and a non-parametric technique for mapping rating scores into probabilities of default. We give an introduction to underlying statistical models and represent the results of...

In many economic applications it is desirable to make future predictions about the financial status of a company. The focus of predictions is mainly if a company will default or not. A support vector machine (SVM) is one learning method which uses historical data to establish a classification...

This study analyses credit default risk for firms in the Asian and Pacific region by applying two methodologies: a Support Vector Machine (SVM) and a logistic regression (Logit). Among different financial ratios suggested as predictors of default, leverage ratios and the company size display a...