基于连续尺度的信用评分用于在线信用质量控制

K. Romanyuk
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引用次数: 3

摘要

本文提出了一种基于连续尺度的信用评估方法。该方法与当前依赖二元尺度(如不良/良好信用)的方法相反,使用聚合随机指数。它的应用在现实生活中可能会有一定的实际好处,例如评估某个人的个人贷款价格,而不是为客户设定标准贷款价格。信用评分模型是基于一组私人借款人的信息,这些信息可以转换成一个权重系数对应的质量函数。这些权重系数和质量函数可以用来计算连续尺度上的信用评分质量。基于德国信用数据库数据的结果表明了该方法的可行性。结果发现,不同尺度的信用评分结果不能正确地通过分类良好的借款人的概率进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Credit scoring based on a continuous scale for on-line credit quality control
The given paper proposes a method to assess credit worthiness based on a continuous scale. This method in contrast to current methods that rely on a binary scale such as bad/good credit uses aggregated randomized indices. Its application may have certain practical benifits in real life, e.g. assessing the individual loan price of a particular person rather than setting a standard loan price for clients. The credit scoring model is based on set of private borrowers information that can be converted into quality function corresponding to a weighting coefficient. These weighting coefficients and quality functions then can be used to compute the quality of credit score on a continuous scale. Results based on data from German credit base have showed the feasibility of the approach. It was found that results of credit scoring with a different scales can not be correctly compared by probability of well classified borrowers.
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