Leading Indicator Properties of Corporate Bond Spreads, Excess Bond Premia and Lending Spreads in the Euro Area

E. Krylova
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引用次数: 3

Abstract

This paper analyses leading indicator properties of a broad set of credit spreads, compiled on the basis of information from both corporate bonds and bank loans for forecasting of real activity, unemployment, inflation and lending volumes in the euro area and in five major European economies. It also introduces a set of indicators for excess bond premia, adjusting corporate bond spreads for credit risk of the issuer and the term, coupon and liquidity premia. I find that the majority of macroeconomic indicators can be better predicted by the excess bond premia compared to non-adjusted indices; the rating-adjustment and time-varying parameter estimates seem to be particularly important. Although the predictive power of lending spreads is inferior to the predictive power of the excess bond premia, the forecasting performance of models which use the information from both lending and corporate bond spreads is always superior to models using only information from one source of external funding. JEL Classification: G12, C21, C22, E37, E44
欧元区公司债券息差、超额债券溢价和贷款息差的领先指标属性
本文根据公司债券和银行贷款的信息,对欧元区和欧洲五大经济体的实际经济活动、失业率、通货膨胀和贷款额进行了预测,分析了一系列广泛信贷息差的领先指标属性。它还引入了一套超额债券溢价指标,根据发行人的信用风险以及期限、息票和流动性溢价来调整公司债券利差。研究发现,与未经调整的指标相比,绝大多数宏观经济指标可以通过超额债券溢价更好地预测;评级调整和时变参数估计似乎特别重要。尽管贷款息差的预测能力不如超额债券溢价的预测能力,但同时使用贷款和公司债券息差信息的模型的预测性能总是优于仅使用一种外部资金来源信息的模型。JEL分类:G12, C21, C22, E37, E44
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