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financing distress
相关语句
  融资困境
     Scale Efficiency and Financing Distress of Medium and Small-sized Enterprises
     我国中小企业的规模效率与融资困境
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Since there is not a generally recognized definition of corporate failure, different researchers use different definition such as bankruptcy, corporate crisis, finance distress, deficit, default, poor performance and corporate distress. Based on the collecton and analysis of those definitions, this paper try to give a general definition of corporate failure.

学术界对企业失败至今没有统一的定义,诸如企业破产、绩效不佳、企业困境、财务危机、企业亏损、企业逆境等等很多相关的词汇都被不同的研究人员用来描绘企业失败现象。文章汇总了中外学者的一些经典定义,对企业失败的几个相关概念进行辨析,并试图提出一个广义的企业失败概念。

This paper has the Chinese listed company as its research object.Seventy-three companies in special trade and that much in normal trade from 1999 to 2000 are selected as the training sample.Forty-three companies in special trade and in normal trade of 2002 are selected as the test sample.Fifteen financial ratios from two years before the finance distress have been analyzed.Three single classifiers—discriminant analysis,logistic regression and neural network have been used in data mining process.It has...

This paper has the Chinese listed company as its research object.Seventy-three companies in special trade and that much in normal trade from 1999 to 2000 are selected as the training sample.Forty-three companies in special trade and in normal trade of 2002 are selected as the test sample.Fifteen financial ratios from two years before the finance distress have been analyzed.Three single classifiers—discriminant analysis,logistic regression and neural network have been used in data mining process.It has been proved that the neural network is better than others.Combing the merits of the above methods,a hybrid method that increases prediction performance has been put forward.The empirical tests show that it can produce higher prediction accuracy than individual classifiers.

本文以我国上市公司为研究对象,选取了1999-2001年被ST的公司和正常公司各73家作为训练样本,2002年被ST的公司和正常公司各43家作为检验样本,分析了财务危机出现前2年内各年两类公司15个财务指标。在进行数据挖掘中,我们运用了三种独立的方法,分别为判别分析、Logistic回归和神经网络,结果发现神经网络预测的效果要优于其它两种方法。最后,结合了这些方法的优点,建立了一种混合模型,研究表明预测的正确性要高于每种单独方法,从而提高了模型的预警效果。

We collected the data of 276 chinese listed companies which took big bath in 2002.Based on the paired T-test ,chi-squre statistical tests of independence and logistic regression .The results showed that :big bath correlate positively with finance distress, management changes and accounting policy,correlate negatively with company size .Besides big bath had no correlation with director and auditor change.

本文对2002年进行了巨额冲销的276家上市公司数据,运用均值检验、X2(卡方)检验和逻辑斯蒂回归方法分析了产生巨额冲销行为的动因,结果发现巨额冲销与经营困境、高管人员变更(董事长和总经理同时变更正)和会计政策变化正相关;与企业规模负相关;与控股股东和会计师事务所更换不相关。

 
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