Forecasting credit ratings Using ANN and statistical techniques

Kuldeep Kumar, John D Haynes

Research output: Contribution to journalArticleResearchpeer-review

198 Downloads (Pure)


In a liberal environment the conceptual importance of credit rating has increased significantly. The objective of this study is to explore and find out the effect of the financial performance data of a firm relative to the credit rating of a debt issue of that firm. The study also proposes to capture the relationship, if any, between financial performance data and credit rating given by experts in an appropriate model. Financial data relevant to debt issue ratings are obtained from the publications of a premier credit rating agency in India. Data analysis involved the building of a model using conventional multiple linear discriminant analysis and Artificial Neural Network Systems. Artificial Neural Networks (ANN) model was found to be superior to the discriminant analysis model. The ANN model can be used to increase speed and efficiency of the rating process in practical applications. In addition, if experts provide better-input data, it can be relied upon to provide an automatic rating to a significant extent.
Original languageEnglish
Pages (from-to)91-108
Number of pages18
JournalInternational Journal of Business Studies
Issue number1
Publication statusPublished - 1 Jun 2003


Dive into the research topics of 'Forecasting credit ratings Using ANN and statistical techniques'. Together they form a unique fingerprint.

Cite this