<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The article focuses on assessing the effectiveness of a non-statistical approach to bankruptcy modelling in enterprises operating in the logistics sector. In order to describe the issue more comprehensively, the aforementioned prediction of the possible negative results of business operations was carried out for companies functioning in the Polish region of Podkarpacie, and in Slovakia. The bankruptcy predictors selected for the assessment of companies operating in the logistics sector included 28 financial indicators characterizing these enterprises in terms of their financial standing and management effectiveness. The purpose of the study was to identify factors (models) describing the bankruptcy risk in enterprises in the context of their forecasting effectiveness in a one-year and two-year time horizon. In order to assess their practical applicability the models were carefully analysed and validated. The usefulness of the models was assessed in terms of their classification properties, and the capacity to accurately identify enterprises at risk of bankruptcy and healthy companies as well as proper calibration of the models to the data from training sample sets.</p></abstract>

The article focuses on assessing the effectiveness of a non-statistical approach to bankruptcy modelling in enterprises operating in the logistics sector. In order to describe the issue more comprehensively, the aforementioned prediction of the possible negative results of business operations was carried out for companies functioning in the Polish region of Podkarpacie, and in Slovakia. The bankruptcy predictors selected for the assessment of companies operating in the logistics sector included 28 financial indicators characterizing these enterprises in terms of their financial standing and management effectiveness. The purpose of the study was to identify factors (models) describing the bankruptcy risk in enterprises in the context of their forecasting effectiveness in a one-year and two-year time horizon. In order to assess their practical applicability the models were carefully analysed and validated. The usefulness of the models was assessed in terms of their classification properties, and the capacity to accurately identify enterprises at risk of bankruptcy and healthy companies as well as proper calibration of the models to the data from training sample sets.

Non-Statistical Methods of Analysing of Bankruptcy Risk

Department of Quantitative Methods Faculty of Management Rzeszow University of Technology Powstańców Warszawy 8, 35-959 Rzeszów, Poland

Folia Oeconomica Stetinensia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Non-Statistical Methods of Analysing of Bankruptcy Risk"}

The article focuses on assessing the effectiveness of a non-statistical approach to bankruptcy modelling in enterprises operating in the logistics sector. In...

Non-Statistical Methods of Analysing of Bankruptcy Risk

Published Online: Dec 30, 2015

Page range: 7 - 21

Received: Oct 07, 2014

Accepted: Apr 27, 2015

DOI: https://doi.org/10.1515/foli-2015-0029

Keywords
forecast, modelling, risk, bankruptcy

© University of Szczecin

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Non-Statistical Methods of Analysing of Bankruptcy Risk

Published Online: Dec 30, 2015

Page range: 7 - 21

Received: Oct 07, 2014

Accepted: Apr 27, 2015

DOI: https://doi.org/10.1515/foli-2015-0029

Keywordsforecast, modelling, risk, bankruptcy

© University of Szczecin

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
forecast, modelling, risk, bankruptcy