This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...

This research shows the application and performance of three models for the classification of credit applicants: discriminant analysis, logistic regression and neural networks; techniques used by financial institutions for the calculation of credit scoring. The results show a better performance...

The aim of this work is to analyze the link between variables concerning public financial information and intangibles investment for technological firms. The investigation focuses on firms in Nasdaq-100 index during the 1999-2004 period. Two groups have been obtained by means of cluster analysis...