摘要
对两种典型的坏帐率统计方法进行比较 ,发现传统的统计方法存在很大的误差 ,从而影响信用风险的测定精度 .由于信用机构迟缓更新转移概率和个别较低信用质量企业的影响 ,坏帐率区间存在很大的重叠 ,且平均坏帐率显著高于中值坏帐率 .解决问题的方法是基于期望坏帐频率(EDF)的非重叠区间来划分企业 。
By comparing two typical statistics methods of default rate, the article found a serious error in the statistics method that will impact on the precision of credit risk measurement. Because credit institutions delay to update transition matrix and the impact of a few corporations with lower credit quality, there is a substantial overlap in the default rate ranges and the mean default rate significantly exceeds the median default rates. The way to resolve the problem is to classify firms into groups based upon non overlapping ranges of expected default frequencies and choosing these ranges to correspond to the rating grade ranges.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2001年第12期1896-1898,共3页
Journal of Shanghai Jiaotong University
关键词
信用等级
期望坏帐频率
坏帐率
企业
误差
credit rating grade
expected default frequencies
default rate