Construction Elements Of Bankruptcy Prediction Models In Multi–Dimensional Early Warning Systems
AbstractA consequence of the inevitability of the occurrence of internal crises in companies is the taking of preventive action in place of purely remedial measures. In this respect a significant role is played by Early Warning Systems (EWS), which provide early warning information and financial threat assessments relating to the continuation of operations and bankruptcy not only for individual companies as such but also for companies as a whole. The limitations of existing models used for EWS purposes have led to the elaboration of new models, estimated on one of the largest hitherto drawn up teaching sets, constituting more than five hundred bankrupt companies. These models also distinguish themselves through the application of innovative methods and precise instruments; the structural concept of these models for multi–dimensional EWS purposes, accompanied by elements used for predicting, is presented in this article.
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Bibliographic InfoArticle provided by Czestochowa Technical University, Department of Management in its journal Polish Journal of Management Studies.
Volume (Year): 5 (2012)
Issue (Month): 1 ( June)
bankruptcy; bankruptcy prediction; early warning system; logistic regression model;
Find related papers by JEL classification:
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Rousseeuw, Peter J. & Christmann, Andreas, 2003. "Robustness against separation and outliers in logistic regression," Computational Statistics & Data Analysis, Elsevier, Elsevier, vol. 43(3), pages 315-332, July.
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