Corporate Failure Prediction of Public Listed Companies in Malaysia

Qaiser Rafique Yasser, A. Mamun
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引用次数: 10

Abstract

This paper aims to extent the prediction model of financial distress among Malaysian public listed companies from period 2006 to 2010. Altman Z-Score Models was used to identify classification on three main zones which are safe, grey or distress zone. The results specify that 56 % of listed companies were classified as ‗distress zone‘, 24 % are known as ‗grey zone‘ while 20 % are classified in ‗safe zone‘. Two likely to fail companies was correctly predict at distress zone which Z-Score was lower than 1.81. Moreover, the findings show most of the companies were facing financial distress during global financial crisis on 2008. Industrial transportation and industrial engineering sectors are generally classified as ‗safe zone‘ while food and staplers retailing, real estate investment and services and industrial metals and mining sectors are classified as ‗distress zone‘.
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马来西亚上市公司的企业失败预测
本文旨在扩展2006 - 2010年马来西亚上市公司财务困境的预测模型。Altman Z-Score模型用于识别三个主要区域的分类,即安全,灰色或危险区域。结果表明,56%的上市公司被归类为“痛苦区”,24%被称为“灰色地带”,而20%被归类为“安全区”。在Z-Score小于1.81的困境区正确预测了两家可能倒闭的公司。此外,调查结果显示,大多数公司在2008年全球金融危机期间面临财务困境。工业运输和工业工程部门一般被归类为“安全地带”,而食品和订书机零售,房地产投资和服务和工业金属和采矿部门被归类为“危险地带”。
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审稿时长
1 weeks
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