Business Failure Prediction using Survival Analysis
Kumar, Kuldeep and Gepp, Adrian (2006) Business Failure Prediction using Survival Analysis is a conference paper presented at the International Conference of Business, Economics and Management Disciplines, 23-24 June 2006, Beijing.
To obtain a copy of this conference paper contact the proceedings publisher Management Futures
2006 HERDC submission
Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. Recently, there has been a significant increase in interest in business failure prediction, from both industry and academia. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have been the most popular approaches, but there are also a large number of alternative techniques available. In this paper, a comparatively new technique known as survival analysis has been used for business failure prediction. Overall, the results suggest that survival analysis techniques provide more information that can be used to further the understanding of the business failure process.
Kuldeep Kumar and Adrian Gepp. "Business Failure Prediction using Survival Analysis" Business papers (2006).
Available at: http://works.bepress.com/kuldeep_kumar/4
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