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FINANCIAL RISK ANALYSIS AND PREDICTION OF CHINESE POWER INDUSTRY

机译:中国电力产业的财务风险分析与预测

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摘要

In this paper we focus our study on Chinese power industry, and select 57 Shanghai and Shenzhen-listed companies in power industry from 2005 to 2008 as a sample. We compared the financial ratios between power companies and others to find out differences of financial characteristics between power industry and others, and compared financial failed and non-failed companies in power industry to answer what factors can indicate the risks before the power companies trapped into financial crisis. Experiential text shows that cash to current debt ratio, ROE, net asset growth ratio, and inventory turnover are four uncorrelated and significantly different ratios in financial failed power companies. According to the result of the analysis we designed an early-warning model for power industry, using logistic regression, which takes the industry characters into consideration and suggests a good capability in risk prediction.
机译:在本文中,我们专注于中国电力行业的研究,从2005年到2008年选择57个上海和深圳上市公司作为样本。 比较了电力公司与其他人之间的财务比率,以了解电力行业和其他人之间的金融特征的差异,并比较电力行业的金融失败和非失败公司,以回答哪些因素可以在被困公司被困进入金融的公司之前表明风险 危机。 经验文本表明,金融失效电力公司的现金到当前的债务比率,ROE,净资产增长率和库存营业额是四种不相关性和明显不同的比例。 根据分析结果,我们设计了一种利用逻辑回归的电力行业预警模型,这将考虑行业特征,并提出了风险预测的良好能力。

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