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APPARATUS AND METHOD FOR PREDICTING DEGREE OF INDUSTRIAL CREDIT RISK USING MACRO-ECONOMIC INDICATOR

机译:利用宏观经济指标预测工业信用风险程度的装置和方法

摘要

The present invention relates to an apparatus and a method for predicting a degree of industrial credit risk using a macro-economic indicator. According to an embodiment of the present invention, the method for predicting a degree of industrial credit risk using a macro-economic indicator comprises the steps of: collecting a macro-economic indicator defined for each industry and configuring a candidate indicator pool for each industry; defining a target stock and classifying the defined target stock into a plurality of segments according to industrial classification; selecting, for each segment, one or more final indicators through analysis of a correlation between the candidate indicators of the corresponding industry and fitting a regression model in which the selected one or more final indicators are used as an independent variable and an observed default rate is used as a dependent variable; and calculating, for each segment, a prediction default rate based on the corresponding regression model and calculating an industrial risk index based on the calculated prediction default rate. According to an embodiment of the present invention, since the industrial credit risk is predicted by using the macro-economic indicator based on a supply chain theory, it is possible to more accurately predict the risk and more effectively cope with the risk.;COPYRIGHT KIPO 2016
机译:用宏观经济指标预测工业信用风险程度的设备和方法技术领域本发明涉及一种使用宏观经济指标预测工业信用风险程度的设备和方法。根据本发明的一个实施例,使用宏观经济指标预测工业信用风险程度的方法包括以下步骤:收集为每个行业定义的宏观经济指标,并为每个行业配置候选指标池;以及定义目标库存,并根据行业分类将定义的目标库存分为多个部分;通过分析相应行业的候选指标之间的相关性并拟合回归模型,为每个细分市场选择一个或多个最终指标,在该回归模型中,将所选的一个或多个最终指标用作自变量,观察到的违约率是用作因变量;根据相应的回归模型为每个细分计算预测违约率,并根据计算出的预测违约率计算工业风险指数。根据本发明的实施例,由于通过使用基于供应链理论的宏观经济指标来预测工业信用风险,因此可以更准确地预测风险并更有效地应对风险。 2016年

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