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Using Accounting and Stock Market Price Data to Predict Financial Distress

机译:使用会计和股市价格数据预测财务困境

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This study investigated accounting measures depended on CAMEL ratios to predict services sector distress. The study used five variables representing CAMEL ratio from (2010-2015). Researchers used stepwise method and moving average to predict prices in 2017. Result showed that there is no significant relationship between market stock price and CAMEL ratios. Other factors such as Internal (mismanagement or corruption) or external (political issues) are affecting financial performance. Predicted result showed that there might be (19-26) listed corporations' facing financial distress in 2017. Especially in transportation and tourism filed.
机译:这项研究调查了依赖于CAMEL比率的会计方法来预测服务部门的困境。该研究使用了五个变量(代表2010年至2015年的CAMEL比率)。研究人员使用逐步方法和移动平均线来预测2017年价格。结果显示,市场股价与CAMEL比率之间没有显着关系。内部因素(管理不善或腐败)或外部因素(政治问题)等其他因素正在影响财务绩效。预测结果显示,2017年可能会有(19-26)家上市公司面临财务困境。特别是在运输和旅游领域。

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