Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,000

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

How Much of the Corporate-Treasury Yield Spread Is Due to Credit Risk?

Open access
Huang, Jing-Zhi, Huang, Ming·2012·Review of Asset Pricing Studies

Abstract

We show that credit risk accounts for only a small fraction of yield spreads for investment-grade bonds of all maturities, with the fraction lower for bonds of shorter maturities, and that it accounts for a much higher fraction of yield spreads for high-yield bonds. This conclusion is shown to be robust across a wide class of structural models. We obtain such results by calibrating each of the models to be consistent with data on the historical default loss experience and equity risk premia, and demonstrating that different models predict similar credit risk premia under empirically reasonable parameter choices. (JEL G13, G12, G33, G24)

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/rapstu/ras011

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Cited by

See all 1,000

Metadata

Authors
Huang, J.-Z., & Huang, M.
Venue
Review of Asset Pricing Studies
Published
2012-11-15
Volume
2
Issue
2
Pages
153-202
ISSN
  • 2045-9920 (ISSN-L)
  • 2045-9939
OpenAlex
W3126074134
Cited by
1,000
References
3
FWCI
107.72
Type
journal article
Language
en
Open access
green

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: How Much of the Corporate-Treasury Yield Spread Is Due to Credit Risk? https://app.cochat.ai/papers/10.1093/rapstu/ras011
The paper
Huang, J.-Z., & Huang, M. (2012). How Much of the Corporate-Treasury Yield Spread Is Due to Credit Risk? Review of Asset Pricing Studies. https://doi.org/10.1093/rapstu/ras011

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.