首页> 外文会议>2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)论文集 >Financial Distress Prediction Based on Financial Ratios and Market Information
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Financial Distress Prediction Based on Financial Ratios and Market Information

机译:基于财务比率和市场信息的财务困境预测

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Utilizing 129 manufacturing enterprises as samples, this paper first makes use of Altman (1968) Z-model, F-fractional model and Oholson model based upon financial ratios to calculate their respective scores. Also, it employs KMV formula on the basis of Merton model to compute default distance (DD) and other indexes. In addition, it tests the consistency of two types of models relying upon the rank tests, which elicits the result that these two models in current China is inconsistent, and two models provide respectively a certain number of conclusions. Still, it introduces the concept of Value of Risk (VAR) into financial distress prediction, and establishes distress prediction model based upon the combination of a wholly new index (company net profit/ risk value of the market value of the company) and financial Index. Empirical results indicate that this model is superior to the simple accounting model.
机译:本文以129家生产企业为样本,首先利用Altman(1968)的Z模型,F分数模型和Oholson模型,基于财务比率来计算各自的得分。而且,它在Merton模型的基础上采用KMV公式来计算默认距离(DD)和其他指标。此外,它还通过等级检验对两种模型的一致性进行了检验,得出的结论是这两种模型在当前中国是不一致的,两种模型分别提供了一定数量的结论。尽管如此,它还是将风险价值(VAR)的概念引入财务困境预测中,并基于全新指标(公司净利润/公司市值的风险价值)和财务指标的组合来建立困境预测模型。 。实证结果表明,该模型优于简单会计模型。

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