The Global Credit Spread Puzzle

IF 7.6 1区 经济学 Q1 BUSINESS, FINANCE
JING-ZHI HUANG, YOSHIO NOZAWA, ZHAN SHI
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引用次数: 0

Abstract

We examine the ability of structural models to predict credit spreads using global default data and security-level credit spread data in eight developed economies. We find that two representative, pure default-risk models tend to underpredict the average credit spreads on investment-grade (IG) bonds, especially their spreads over government bonds, thereby providing evidence for a “global credit spread puzzle.” However, a model incorporating endogenous liquidity in the secondary debt market helps mitigate the puzzle. Furthermore, the model captures certain determinants of corporate bond market frictions across the eight economies and substantially improves the cross-sectional fit of individual IG credit spreads.
全球信贷利差之谜
我们使用八个发达经济体的全球违约数据和安全级信用利差数据来检验结构模型预测信用利差的能力。我们发现,两个具有代表性的纯违约风险模型倾向于低估投资级(IG)债券的平均信用利差,尤其是它们相对于政府债券的利差,从而为“全球信用利差之谜”提供了证据。然而,在二级债务市场引入内生流动性的模型有助于缓解这一难题。此外,该模型捕获了八个经济体中公司债券市场摩擦的某些决定因素,并大大改善了个人IG信贷息差的横截面拟合。
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来源期刊
Journal of Finance
Journal of Finance Multiple-
CiteScore
12.90
自引率
2.50%
发文量
88
期刊介绍: The Journal of Finance is a renowned publication that disseminates cutting-edge research across all major fields of financial inquiry. Widely regarded as the most cited academic journal in finance, each issue reaches over 8,000 academics, finance professionals, libraries, government entities, and financial institutions worldwide. Published bi-monthly, the journal serves as the official publication of The American Finance Association, the premier academic organization dedicated to advancing knowledge and understanding in financial economics. Join us in exploring the forefront of financial research and scholarship.
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