EconPapers    
Economics at your fingertips  
 

Predictors of Financial Distress and Bankruptcy Model Construction

Dana Kubickova () and Vladimir Nulicek
Additional contact information
Vladimir Nulicek: University of Finance and Administration

International Journal of Management Science and Business Administration, 2016, vol. 2, issue 6, 34-41

Abstract: The aim of this paper is to prepare the bankruptcy model construction. In the first part, multivariate discriminant analysis and its possibilities in deriving predictive models are characterized. The second part defines the possible indicators/predictors of financial distress of companies, which could be included in the new bankruptcy model. The model itself compares different views of factors that affect the company’s financial situation and contrasts the indicators that were constructed in the model in previous works (with special regard to the models in the transition economics). The result is the collection of 39 indicators to be verified in the next stage of the research project employing the multiple discriminant analysis methods to specify which of them to be included in the new model.

Keywords: Bankruptcy models; Prediction ability; Indicators; Predictors of financial distress (search for similar items in EconPapers)
JEL-codes: M00 (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://researchleap.com/wp-content/uploads/2016/05 ... del-Construction.pdf
http://researchleap.com/predictors-financial-distr ... -model-construction/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mgs:ijmsba:v:2:y:2016:i:6:p:34-41

DOI: 10.18775/ijmsba.1849-5664-5419.2014.26.1003

Access Statistics for this article

More articles in International Journal of Management Science and Business Administration from Inovatus Services Ltd.
Bibliographic data for series maintained by Bojan Obrenovic ().

 
Page updated 2025-03-19
Handle: RePEc:mgs:ijmsba:v:2:y:2016:i:6:p:34-41