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Can Z-Score Model Predict Listed Companies’ Failures in Italy? An Empirical Test

机译:Z-Score模型可以预测意大利的上市公司倒闭吗?实证检验

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The Altman Z-score model for predicting bankruptcy of businesses was constructed and fine-tuned in the USA in 1968 and updated in 1999. It is therefore possible that its results cannot be extended to non-Anglo-Saxon countries in today’s context. This paper ascertains if the Z-score can correctly predict the failure of industrial listed companies in Italy. First, we have analyzed the theoretical and practical characteristics of the original Z-score model and we highlight some of its potential shortcomings. Second, we have examined a sample of 102 industrial companies, quoted on the Italian Stock Exchange in the period 1995-2013 – 51 companies had had their shares permanently suspended or delisted because of a default, whereas the remaining 51 companies, which have been selected based on same core business and year of data collection, did not go bankruptcy or had their shares permanently suspended. We investigated whether the Z-score model could have predicted the default of the firms in the sample for up to three years earlier, with a degree of accuracy and reliability comparable to the one obtained by Altman (and by many other authors) in the tests performed nowadays in the U.S. and Anglo-Saxon contexts. We found that the Z-score works effectively and performs well in predicting failures of Italian firms, although with a slightly lower degree of reliability when applied to Anglo-Saxon companies. Therefore, we conclude that the Z-score can be applied to the Italian context, provided that some critical points illustrated in this study are taken into account.
机译:用于预测企业破产的Altman Z评分模型于1968年在美国建立并进行了微调,并于1999年进行了更新。因此,在今天的情况下,其结果可能无法推广到非盎格鲁撒克逊国家。本文确定Z分数是否可以正确预测意大利工业上市公司的失败情况。首先,我们分析了原始Z评分模型的理论和实践特征,并重点介绍了其潜在的缺点。其次,我们对1995年至2013年在意大利证券交易所上市的102家工业公司进行了抽样调查– 51家公司因违约而永久停牌或退市,而其余51家公司被选中基于相同的核心业务和数据收集年份,没有破产或永久暂停其股票交易。我们调查了Z评分模型是否可以在长达三年的时间里预测样本中公司的违约行为,其准确性和可靠性可与Altman(和许多其他作者)在测试中获得的准确性和可靠性相媲美。如今在美国和盎格鲁撒克逊语境中演出。我们发现Z分数在预测意大利公司的失败方面能有效地发挥作用,并且表现良好,尽管将其应用于盎格鲁-撒克逊公司的可靠性较低。因此,我们得出的结论是,只要考虑到本研究中说明的一些关键点,Z分数即可应用于意大利语境。

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