Stress EAD: Experience of 2003 Korea Credit Card Distress

Myung-Jig Kim
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引用次数: 1

Abstract

The Advanced-IRB banks should be able to demonstrate to the regulatory supervisors that the long-run exposure at default (EAD) and downturn (or stress) EADs are validated with their own data on historical exposures. This paper proposes an empirical stress EAD model that is driven by a risk driver of the credit conversion factor (CCF) and by a systematic factor governing the cyclical effects of EAD and PD of facilities. Stress EAD is then computed as the expected value of EAD conditional on a particular value of the risk driver of a facility and on the value of a systematic factor that achieves, say, a 99.9% confidence level for a desired A or BBB+ rating. The reference data set (RDS) studied in the paper covers the corporate credit card exposures from 2001:Q1 to 2005:Q4. The most intriguing aspect of this RDS is that the sample period covers the severe 2003 credit card distress witnessed in Korea, which lenders it an excellent candidate for developing and validating the stress EAD models. The empirical evidence would provide ample opportunity to a better understanding of the meaning of Φ ?1 (.999) in the New Capital Accord.
2003年韩国信用卡危机的经验
高级irb银行应该能够向监管机构证明,长期违约风险敞口(EAD)和低迷(或压力)EAD是用他们自己的历史风险敞口数据验证的。本文提出了一个由信用转换因子(CCF)的风险驱动因素和控制信用转换因子和信用转换因子周期效应的系统因素驱动的经验压力EAD模型。然后,根据设施风险驱动因素的特定值和系统因素的值,例如达到99.9%的置信度(期望的a或BBB+评级),将压力EAD计算为EAD的期望值。本文研究的参考数据集(RDS)涵盖了2001年第一季度至2005年第四季度的企业信用卡风险敞口。这个RDS最有趣的方面是,样本期间涵盖了2003年在韩国见证的严重信用卡危机,这为开发和验证压力EAD模型提供了一个极好的候选者。经验证据将为更好地理解新资本协议中Φ ?1(.999)的含义提供充分的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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