The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
How Sovereign Is Sovereign Credit Risk?
Open accessAbstract
We study the nature of sovereign credit risk using an extensive set of sovereign CDS data. We find that the majority of sovereign credit risk can be linked to global factors. A single principal component accounts for 64 percent of the variation in sovereign credit spreads. Furthermore, sovereign credit spreads are more related to the US stock and high-yield markets than they are to local economic measures. We decompose credit spreads into their risk premium and default risk components. On average, the risk premium represents about a third of the credit spread. (JEL F34, G15, O16, O19, P34)
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Cites
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Self-citationCorporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit Default Swap Market
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Self-citationExpected Stock Returns and Variance Risk Premia
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The jump-risk premia implicit in options: evidence from an integrated time-series study
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Ang, A., & Longstaff, F. A. (2013) · Journal of Monetary Economics · doi:10.1016/j.jmoneco.2013.04.009 · Cited by 373
Self-citationEser, F., & Schwaab, B. (2016) · Journal of Financial Economics · doi:10.1016/j.jfineco.2015.06.003 · Cited by 315
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Self-citationA New Test of Risk Factor Relevance
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Metadata
- Authors
- Longstaff, F. A., Pan, J., Pedersen, L. H., & Singleton, K. J.
- Venue
- American Economic Journal: Macroeconomics
- Publisher
- American Economic Association
- Published
- 2011-04-01
- Volume
- 3
- Issue
- 2
- Pages
- 75-103
- ISSN
- 1945-7707 (ISSN-L)
- 1945-7715
- OpenAlex
- W2890067203
- Cited by
- 1,083
- References
- 22
- FWCI
- 174.44
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.