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

Focusing on predicting the bankruptcy of small and medium size enterprises (SMEs) through the use of publicly available financial data, bankruptcy models are created that attempt to establish the relationship between bankruptcy and a number of financial ratios. Bankruptcy models were developed...

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...

This study acknowledges the diversity between micro, small and medium-sized firms while predicting bankruptcy and financial distress of United States small and medium-sized enterprises. Empirical findings suggest that survival (failure) probability increases (decreases) with increasing firm size...