The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Explaining the Rate Spread on Corporate Bonds
Open accessAbstract
The purpose of this article is to explain the spread between rates on corporate and government bonds. We show that expected default accounts for a surprisingly small fraction of the premium in corporate rates over treasuries. While state taxes explain a substantial portion of the difference, the remaining portion of the spread is closely related to the factors that we commonly accept as explaining risk premiums for common stocks. Both our time series and cross‐sectional tests support the existence of a risk premium on corporate bonds.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Common risk factors in the returns on stocks and bonds
Fama, E. F., & French, K. R. (1993) · Journal of Financial Economics · doi:10.1016/0304-405x(93)90023-5 · Cited by 25,754
Cited by
Credit spreads and business cycle fluctuations
Gilchrist, S., & Zakrajšek, E. (2012) · American Economic Review · doi:10.1257/aer.102.4.1692 · Cited by 2,213
Equity Volatility and Corporate Bond Yields
Campbell, J. Y., & Taksler, G. B. (2003) · The Journal of Finance · doi:10.1046/j.1540-6261.2003.00607.x · Cited by 1,206
An Empirical Analysis of the Pricing of Collateralized Debt Obligations
LONGSTAFF, F. A., & RAJAN, A. (2008) · The Journal of Finance · doi:10.1111/j.1540-6261.2008.01330.x · Cited by 299
Trust, social capital, and the bond market benefits of ESG performance
Amiraslani, H., Lins, K. V., Servaes, H., & Tamayo, A. (2023) · Review of Accounting Studies · doi:10.1007/s11142-021-09646-0 · Cited by 222
Metadata
- Authors
- Elton, E. J., Gruber, M. J., Agrawal, D., & Mann, C.
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 2001-02
- Volume
- 56
- Issue
- 1
- Pages
- 247-277
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W3121877964
- Cited by
- 1,575
- References
- 1
- FWCI
- 84.37
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Explaining the Rate Spread on Corporate Bonds. https://app.cochat.ai/papers/10.1111/0022-1082.00324
- The paper
- Elton, E. J., Gruber, M. J., Agrawal, D., & Mann, C. (2001). Explaining the Rate Spread on Corporate Bonds. The Journal of Finance. https://doi.org/10.1111/0022-1082.00324
Data sources
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.