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首页> 外文期刊>The journal of applied business research >The Usefulness Of Accounting Information,Economic Variables,And Corporate Governance Measures To Predict Corporate Failure
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The Usefulness Of Accounting Information,Economic Variables,And Corporate Governance Measures To Predict Corporate Failure

机译:会计信息,经济变量和公司治理措施对预测公司失败的有用性

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摘要

This paper has the core aim of investigating the usefulness of employing accounting information, macroeconomic variables and corporate governance measures to predict corporate failure in an Egyptian setting. The empirical study is directed to adapting a corporate failure prediction model applied to a sample of Egyptian companies listed in the Egyptian stock market. A sample of 79 companies drawn from the 100 most actively traded firms listed in the Egyptian stock market has been used for the empirical testing. A pooled sample is formed covering the period 2000-2005 inclusive. The empirical study emphasized improving failure prediction accuracy by introducing two classes of variables besides financial ratios based on accounting information. These classes of variables are economic variables and corporate governance measures. Logistic regression analysis has been used to test the predictive accuracy of four models. Model I included accounting information only. Model II added economic variables to accounting information. Model III included corporate governance measures and accounting information. Finally, model IV employed these three classes of variables together. Analysis of the statistical testing results indicated that employing the three classes of variables together improved the prediction accuracy to reach 84.8% in the classification sample and 78.2% in the validation sample. Furthermore, model IV is used to predict failure up to three years prior to failure and therefore can provide a tool for failure prediction for enhancing auditing, investment and credit decisions in an Egyptian market setting.
机译:本文的核心目标是调查在埃及环境中采用会计信息,宏观经济变量和公司治理措施来预测公司倒闭的有用性。实证研究旨在适应企业失败预测模型,该模型适用于在埃及股票市场上市的埃及公司的样本。从埃及股票市场上交易最活跃的100家公司中抽取了79家公司的样本进行了经验检验。形成了一个涵盖2000-2005年(含)的合并样本。实证研究强调通过引入基于会计信息的财务比率之外的两类变量来提高故障预测的准确性。这些变量类别是经济变量和公司治理措施。 Logistic回归分析已用于测试四个模型的预测准确性。模型I仅包含会计信息。模型II将经济变量添加到会计信息中。模式III包括公司治理措施和会计信息。最后,模型IV一起使用了这三类变量。统计测试结果的分析表明,将这三类变量一起使用可以提高预测准确性,分类样本达到84.8%,验证样本达到78.2%。此外,模型IV可用于预测发生故障之前长达三年的故障,因此可以提供故障预测工具,以增强埃及市场环境中的审计,投资和信用决策。

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