确定财务困境的有序LOGIT模型方法。

B Kinay
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引用次数: 0

摘要

如今,由于全球竞争的结果,许多公司都遇到了财务困境。对这些问题进行预测并采取积极的措施是非常重要的。因此,在揭示公司的财务状况方面,危机和财务困境的预测是必不可少的。在本研究中,使用了伊斯坦布尔证券交易所156家工业公司的财务比率,并通过有序logit回归模型预测了财务困境的概率。通过Altman’s Z Score,因变量由风险水平的缩放组成。因此,本文提出了一个能够构成预警系统并预测财务困境的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Ordered LOGIT Model approach for the determination of financial distress.

Nowadays, as a result of the global competition encountered, numerous companies come up against financial distresses. To predict and take proactive approaches for those problems is quite important. Thus, the prediction of crisis and financial distress is essential in terms of revealing the financial condition of companies. In this study, financial ratios relating to 156 industrial firms that are quoted in the Istanbul Stock Exchange are used and probabilities of financial distress are predicted by means of an ordered logit regression model. By means of Altman's Z Score, the dependent variable is composed by scaling the level of risk. Thus, a model that can compose an early warning system and predict financial distress is proposed.

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