Open Access. Powered by Scholars. Published by Universities.®
- Publication
- File Type
Articles 1 - 2 of 2
Full-Text Articles in Business
Business Failure Prediction Using Decision Trees, Adrian Gepp, Kuldeep Kumar, Sukanto Bhattacharya
Business Failure Prediction Using Decision Trees, Adrian Gepp, Kuldeep Kumar, Sukanto Bhattacharya
Kuldeep Kumar
Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high-profile companies in the recent past. Consequently, a significant interest has been generated in business failure prediction within academia as well as in the finance industry. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have traditionally been the most popular approaches, but there are also a range of promising non-parametric techniques that can alternatively be applied. In …
Business Failure Prediction Using Decision Trees, Adrian Gepp, Kumar Kuldeep, Sukanto Bhattacharya
Business Failure Prediction Using Decision Trees, Adrian Gepp, Kumar Kuldeep, Sukanto Bhattacharya
Adrian Gepp
Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high-profile companies in the recent past. Consequently, a significant interest has been generated in business failure prediction within academia as well as in the finance industry. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have traditionally been the most popular approaches, but there are also a range of promising non-parametric techniques that can alternatively be applied. In …