Multistage classification by using logistic regression and neural networks for assessment of financial condition of company

Authors:
Bartosz Swiderski;Jarosław Kurek;Stanislaw Osowski
Affiliations:
University of Life Sciences, Poland;University of Life Sciences, Poland;Warsaw University of Technology, Poland and Military University of Technology, Poland
Venue:
Decision Support Systems
Year:
2012

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Abstract

The paper presents the new approach to the automatic assessment of the financial condition of the company. We develop the computerized classification system applying WOE representation of data, logistic regression and Support Vector Machine (SVM) used as the final classifier. The applied method is a combination of a classical binary scoring approach and Support Vector Machine classification. The application of this method to the assessment of the financial condition of companies, classified into five classes, has shown its superiority with respect to classical approaches.