A service provided by the WU Library and the WU IT-Services

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

Petz, Thomas (2003) T-Score Model. A default prediction model for software companies. Doctoral thesis, WU Vienna University of Economics and Business.

[img]
Preview
PDF
Download (631Kb) | Preview

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)

Item Type: Thesis (Doctoral)
Keywords: software house / insolvency / credit risk / rating / equity capital agreement / Basel /
Divisions: Departments > Finance, Accounting and Statistics > Accounting and Auditing > Unternehmensrechnung und Revision
Depositing User: Repository Administrator
Date Deposited: 22 Dec 2003 16:01
Last Modified: 25 Sep 2014 05:02
URI: http://epub.wu.ac.at/id/eprint/1916

Actions

View Item