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Chance Discovery in Credit Risk ManagementTime Order Method and Directed KeyGraph for Estimation of Chain Reaction Bankruptcy Structure

机译:信用风险管理时间顺序方法中的机会发现和有向键图估计链式反应破产结构

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摘要

In this article, chance discovery method is applied to estimate chain reaction bankruptcy structure. Risk of default can be better forecasted by taking chain reaction effect into accont. Time order method and directed KeyGraph are newly introduced to distinguish and express the time order among defaults that is essential information for the analysis of chain reaction bankruptcy. The steps for the data analysis are introduced and result of example analysis with default data in Kyushu, Japan, 2005 is presented.
机译:在本文中,机会发现方法被用于估计连锁反应破产结构。通过考虑连锁反应效应,可以更好地预测违约风险。新引入了时间顺序方法和有向KeyGraph,以区分和表示默认值之间的时间顺序,这是分析连锁反应破产的必要信息。介绍了数据分析的步骤,并给出了使用默认数据进行实例分析的结果(日本九州,2005年)。

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