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Full-Text Articles in Business

Business Failure Prediction Using Survival Analysis, Kuldeep Kumar, Adrian Gepp Jul 2010

Business Failure Prediction Using Survival Analysis, Kuldeep Kumar, Adrian Gepp

Adrian Gepp

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 …


The Role Of Survival Analysis In Financial Distress Prediction, Adrian Gepp, Kuldeep Kumar Dec 2007

The Role Of Survival Analysis In Financial Distress Prediction, Adrian Gepp, Kuldeep Kumar

Adrian Gepp

Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. The potential value of such models has been recently emphasised by the extremely costly failure of high profile businesses in both Australia and overseas, such as HIH (Australia) and Enron (USA). Consequently, 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 …


An Evaluation Of Decision Tree And Survival Analysis Techniques For Business Failure Prediction, Adrian Gepp Dec 2005

An Evaluation Of Decision Tree And Survival Analysis Techniques For Business Failure Prediction, Adrian Gepp

Adrian Gepp

Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. The potential value of such models has been recently emphasised by the extremely costly failure of high profile businesses in both Australia and overseas, such as HIH (Australia) and Enron (USA). Consequently, there has been a significant increase in interest in business failure prediction, from both industry and academia. Statistical models attempt to predict the failure or success of a business based on publicly available information about that business (or its industry and the overall economy), such as accounting ratios from …