理解中国国内评级:一个基于违约概率的标准普尔评级视角

Shida Liu, Hao Wang
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引用次数: 0

摘要

我们通过将使用动态逻辑模型估计的公司预期违约概率(pd)与标准普尔评级的实际违约率相匹配,建立了中国国内机构评级与标准普尔全球评级之间的映射关系。与标普的评级标准相比,中国评级机构的评级被夸大了10个等级。例如,按照违约概率中值,美国国内的AAA、AA和A分别对应标普的BB+、BB和BB-。pd隐含的标普评级在预测违约方面优于国内机构评级,并补充了后者解释信用利差的能力。他们优越的默认预测能力源于使用动态操作效率相关信息。相比之下,机构评级更重视基于规模的公司特征。
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Comprehending China's Domestic Ratings: A Perspective from Default Probability-Implied S&P Ratings
We establish a mapping between the Chinese domestic agency ratings and S&P global ratings by matching firms' expected default probabilities (PDs) estimated using a dynamic logit model with the actual default rates of S&P ratings. The Chinese agency ratings are inflated by ten notches in light of the S&P rating standard. For example, the domestic AAA, AA, and A correspond to S&P BB+, BB, and BB- by median default probability. The PD-implied S&P ratings outperform the domestic agency ratings in predicting default and complement the latter explaining credit spread. Their superior default predictive power originates from using dynamic operating efficiency-related information. In contrast, the agency ratings give more weight to scale-based firm characteristics.
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