Predicting Corporate Failure of UK's Listed Companies
Comparing Multiple Discriminant Analysis and Logistic Regression
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This study compares two corporate failure prediction models, namely; multiple discriminant analysis (MDA) and logistic regression (Logit) in an attempt to; identify whether or not financial ratios can be used as indicators of failure in the UK, to identify financial ratios that are most important for detecting potential insolvency of UK s public listed companies and also which model is better in predicting corporate failure. The study employed financial information for a group of 50 distressed and 50 non-distressed UK listed companies during the period 2000 2010. The initial sample of 100 comp...
This study compares two corporate failure prediction models, namely; multiple discriminant analysis (MDA) and logistic regression (Logit) in an attempt to; identify whether or not financial ratios can be used as indicators of failure in the UK, to identify financial ratios that are most important for detecting potential insolvency of UK s public listed companies and also which model is better in predicting corporate failure. The study employed financial information for a group of 50 distressed and 50 non-distressed UK listed companies during the period 2000 2010. The initial sample of 100 companies was divided into a 70% estimation (training) sample and a 30% holdout (test) sample for the following 4 data sets: First-year data set to predict failure, a second-year data set for a 2 year-ahead prediction, third-year data for a 3 year-ahead prediction, as well as cumulative three-year data to predict distress 1 year ahead by letting the ratios vary in time. For each company, a set of 19 financial ratios reflecting the company s profitability, solvency, asset utilisation, growth ability and size, were calculated and then used in the study.
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