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

Thomas Petz

Publication: ThesisDoctoral thesis

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Abstract

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)
Original languageEnglish
Awarding Institution
  • WU Vienna
Place of PublicationAugasse 2-6, A-1090 Wien, Austria
Publication statusPublished - 1 Dec 2003

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