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.
The Global Credit Spread Puzzle
Jing-Zhi Huang,Yoshio Nozawa,Zhan Shi
Published 2019 in Social Science Research Network
ABSTRACT
PUBLICATION RECORD
- Publication year
2019
- Venue
Social Science Research Network
- Publication date
2019-09-15
- Fields of study
Economics
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-71 of 71 references · Page 1 of 1
CITED BY
Showing 1-11 of 11 citing papers · Page 1 of 1