ALTMAN Z-SCORE MODEL FOR BANKRUPTCY FORECASTING OF THE LISTED LITHUANIAN AGRICULTURAL COMPANIES

被引：0

作者：

Kiaupaite-Grushniene, Vaiva ^{[1
]}

机构：

[1] Tallinn Univ Technol, EE-19086 Tallinn, Estonia

来源：

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON ACCOUNTING, AUDITING, AND TAXATION (ICAAT 2016) | 2016年 / 27卷

关键词：

Corporate bankruptcy; Prediction models; statistical prediction models; organizational theory; NON-FINANCIAL FACTORS; PREDICTION; FAILURE;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：222 / 234

页数：13

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