Proceedings of the 5th International Conference on Accounting, Auditing, and Taxation (ICAAT 2016)

Altman Z-Score Model for Bankruptcy Forecasting of the Listed Lithuanian Agricultural Companies

Authors
Vaiva Kiaupaite-Grushniene
Corresponding Author
Vaiva Kiaupaite-Grushniene
Available Online December 2016.
DOI
https://doi.org/10.2991/icaat-16.2016.23How to use a DOI?
Keywords
Corporate bankruptcy, prediction models, statistical prediction models; organizational theory
Abstract
Since development in 1968, Altman's Z-score has been widely used to judge the risk of financial failure by companies in various countries, industries, and time-periods. The purpose of this paper is to apply Altman's Z-score model for bankruptcy prediction on the three listed Lithuanian agricultural companies. Agribusiness is an important industry in Lithuania and recent trends of consolidation and long-term government subsidies make evaluation of financial health of such companies important not only for the owners, but for the other stakeholders as well. The study has found that the model correctly places companies into "safe" and "grey" zones, which gives initial information for the stakeholders. Further exploratory study into the financial and non-financial factors constituting Z-score could provide additional information for forecasting firm's performance.
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Proceedings
5th International Conference on Accounting, Auditing, and Taxation (ICAAT 2016)
Part of series
Advances in Economics, Business and Management Research
Publication Date
December 2016
ISBN
978-94-6252-261-9
ISSN
2352-5428
DOI
https://doi.org/10.2991/icaat-16.2016.23How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Vaiva Kiaupaite-Grushniene
PY  - 2016/12
DA  - 2016/12
TI  - Altman Z-Score Model for Bankruptcy Forecasting of the Listed Lithuanian Agricultural Companies
BT  - 5th International Conference on Accounting, Auditing, and Taxation (ICAAT 2016)
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/icaat-16.2016.23
DO  - https://doi.org/10.2991/icaat-16.2016.23
ID  - Kiaupaite-Grushniene2016/12
ER  -