财务绩效评价与破产预测(失败

Talal A. Al-Kassar Dr. , Jared S. Soileau Dr.
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引用次数: 23

摘要

尽管文献中描述了大量的统计故障预测模型,但缺乏对这些方法在实践中是否有效的测试。本文考察了同一家具有偿付能力的公司在破产预测方面的表现,并对两种模型进行了比较。该模型被建议用于衡量财务绩效的价值(Al-Kassar和Soileau;2012),并应用了Taffler(1983)使用的财务失败模型(Z-score)。对六家公司1998-2011年的数据进行了研究。在实证研究中使用的方法包括根据两种模型测量财务绩效。然后,这两个结果已显示在表(8)中。两种模型的结果之间的相关性显示为高度相关。采用t检验。因此,他们根据这些价值对公司进行分类和排名。研究还表明,有必要在评价中包括财务和非财务绩效的措施,因为它们是相辅相成的。没有财务和非财务的评价过程是不完整的,不能提供期望的结果或过程的正确形象。研究建议采用所采用标准的指标,纳入项目绩效评价的综合措施。因此,两种模型的应用导致更好的结果,并帮助用户保持更大的客观性,同时获得更准确的结果,而不是仅仅基于个人评价的分析。
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Financial performance evaluation and bankruptcy prediction (failure)1

Despite the copious number of statistical failure prediction models described in the literature, testing of whether such methodologies work in practice is lacking. This paper examines the performance of the same companies with solvency for predicting bankruptcy and comparison in both models. This model is suggested for measuring the values of financial performance (Al-Kassar and Soileau; 2012), and applying the financial failure model (Z-score) used by Taffler (1983). The data of six companies were examined for the period 1998-2011.

The methodology which used at empirical study includes measuring financial performance according to both models. Then both results have been shown in table (8). The correlations between their results for both models are shown highly relationship. They were tested by T-test. Therefore, they were classified and ranked the companies according to these values.

The research also demonstrates the need to include measures of both financial and non-financial performance in the evaluation as they complement each other. Without both financial and non-financial, the evaluation process is incomplete and does not provide desired results or the correct image of the process. The research suggests including comprehensive measures of performance evaluation of projects by using indicators of adopted criteria. Thus, the application of both models leads to better results and assists users in maintaining greater objectivity while obtaining more accurate results than from analysis based on personal evaluation alone.

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