This paper applies mainstream statistical techniques (linear discriminant analysis and logistic regression) to a sample of over 6,000 Italian firms in the attempt to develop two distress prediction models, specifically constructed for SEs and taking into account diversity of size, geographical...

The results of our statistical analyses, conducted on a sample of small manufacturing firms in Northern and Central Italy, show that both discriminant analysis and logistic regression are effective tools for designing SEs default prediction models based on economic-financial ratios

The results of our statistical analyses, conducted on a sample of small manufacturing firms in Northern and Central Italy, show that both discriminant analysis and logistic regression are effective tools for designing SEs' default prediction models based on economic-financial ratios

From as early as the 1960s, there have been a large number of studies aimed at assessing the application of statistical models to corporation data with a view to predicting business failure. This issue has become increasingly important in recent years, as the New Basel Capital Accord (Basel II)...