T-Score Model. A default prediction model for software companies.

The dissertation deals with credit risk and default prediction for software companies in the light of Basel II, the new capital accord for financial institutions. A credit risk model was developed which can be used by lenders to predict the default of software companies. Such model was developed by using three independent approaches: In a first approach, a model was created which was based solely on quantitative data (i.e. accounting data). In a second approach, a model was developed which was based entirely on qualitative information, including management skills, know how, quality of services and others. In a third approach, the quantitative and the qualitative models were combined. The results indicate that a credit risk model which is based on both quantitative and qualitative information yields the strongest predictive power. (author´s abstract)