联机分析挖掘(OLAM)方法在银行信用风险评估中的应用
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F830.51

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An Application of On-line Analytical Mining in Database to Credit Risk Assessment in Commercial Banks
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    摘要:

    现有文献多从某一具体方法讨论信用风险评估模型,受样本数量的约束,所建模型并不足以反映金融机构所处的信用风险水平。本文以1333笔实际贷款记录建立数据方,运用数据挖掘方法揭示了信用风险基本特征,建立起两阶段的信用风险评估体系,实证结果表明本模型是有效的,为金融机构建立风险评价体系提供有力的支持。

    Abstract:

    The models for credit risk assessment based on certain method have been discussed in previous papers. These models could not fully depict or predict credit risk of financial institutions due to the restriction of sample amount. Based on the analysis of data cube and a sample of 1333 loans of several domestic commercial banks, this paper discloses the basic characters of credit risk, sets up two-period of credit risk assessment system. The empirical result shows that the model is stable and efficiency and it provides powerful supports for the financial institutions to build credit risk assessment system.

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方洪全 曾勇.联机分析挖掘(OLAM)方法在银行信用风险评估中的应用[J].中国软科学,2004,(10):126-130,139

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