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Inability of Gearing-Ratio as Predictor for Early Warning Systems Cover

Inability of Gearing-Ratio as Predictor for Early Warning Systems

By: Mario Situm  
Open Access
|Sep 2014

Abstract

Background: Research in business failure and insolvency prediction provides numerous potential variables, which are in the position to differentiate between solvent and insolvent firms. Nevertheless, not all of them have the same discriminatory power, and therefore their general applicability as crisis indicators within early warning systems seems questionable. Objectives: The paper aims to demonstrate that gearing-ratio is not an appropriate predictor for firm failures/bankruptcies. Methods/Approach: The first and the second order derivatives for the gearing-ratio formula were computed and mathematically analysed. Based on these results an interpretation was given and the suitability of gearing-ratio as a discriminator within business failure prediction models was discussed. These theoretical findings were then empirically tested using financial figures from financial statements of Austrian companies for the observation period between 2008 and 2010. Results: The theoretical assumptions showed that gearing-ratio is not a suitable predictor for early warning systems. This finding was confirmed with empirical data. Conclusions: The inclusion of gearing-ratio within business failure prediction models is not able to provide early warning signals and should therefore be ignored in future model building attempts.

DOI: https://doi.org/10.2478/bsrj-2014-0008 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 23 - 45
Submitted on: Feb 2, 2014
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Accepted on: May 18, 2014
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Published on: Sep 10, 2014
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2014 Mario Situm, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.