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Credit Ratings and Credit Risk: Is One Measure Enough?

机译:信用评级和信用风险:一项措施足够吗?

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摘要

This paper investigates the information in corporate credit ratings. If ratings are to be informative indicators of credit risk, they must reflect what a risk-averse investor cares about: both raw default probability and systematic risk. We find that ratings are relatively inaccurate measures of raw default probability-they are dominated as predictors of failure by a simple model based on publicly available financial information. However, ratings do contain relevant information since they are related to a measure of exposure to common (and undiversifiable) variation in default probability ("failure beta"). Systematic risk is shown to be related to joint default probabilities in the context of the Merton [ Merton RC (1974) On the pricing of corporate debt: The risk structure of interest rates. J. Finance 29(2):449-470] model. Empirically, it is related to credit default swap spreads and risk premia. Given the multidimensional nature of credit risk, it is not possible for one measure to capture all the relevant information.
机译:本文调查了公司信用评级中的信息。如果评级是信贷风险的信息性指标,他们必须反映风险厌恶投资者的关心:原始默认概率和系统风险。我们发现评级是对原始默认概率的相对不准确的措施 - 基于公开的财务信息,它们主要由简单模型的失败预测因子。然而,评级确实包含相关信息,因为它们与违规概率(“失败β”)暴露的常见(和不可差异)变化的衡量标准有关。系统风险与默顿[Merton RC(1974)的联合违规概率有关,默顿(1974年)关于公司债务定价:利率的风险结构。 J. Finance 29(2):449-470]模型。凭经验,它与信用违约交换差价和风险首页有关。鉴于信用风险的多维性质,一项措施不可能捕获所有相关信息。

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