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)
| Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:epub-wu-01_5ea |
| Date | 12 1900 |
| Creators | Petz, Thomas |
| Source Sets | Wirtschaftsuniversität Wien |
| Language | English |
| Detected Language | English |
| Type | Thesis, NonPeerReviewed |
| Format | application/pdf |
| Relation | http://epub.wu.ac.at/1916/ |
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