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

Previous empirical research shows the effectiveness of using sets of economic-financial ratios for company default prediction statistical modeling. However, such research rarely focuses on small enterprises (SEs) as specific units of analysis. In Italy, SEs account for more than 98% of all firms...

In our study, logistic regression was applied to a sample of 760 Italian small enterprises (SEs) in order to test the accuracy of a company default prediction model based on both economic-financial ratios and variables regarding managerial characteristics. We then compared the results obtained...

Purpose of the paper: To test whether the qualitative variables regarding the territory and/or the firm-territory relationship can improve the accuracy rates of small enterprise business failure prediction models.Methodology: We applied logistic regression to a sample of 736 Italian small...

A large number of empirical studies have used univariate and multivariate statistical methods when examining the effectiveness of appropriately selected corporation data in constructing company default prediction models. Having accurate evaluation methods has become increasingly important since...

Purpose of the Paper: To test whether the qualitative variables regarding the territory and/or the firm-territory relationship can improve the accuracy rates of small enterprise business failure prediction models.Methodology: We applied logistic regression to a sample of 736 Italian small...