Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,088

The DOI matches its Crossref record.

Large–Sample Evidence on the Debt Covenant Hypothesis

Open access
Dichev, Ilia D., Skinner, Douglas J.·2002·Journal of Accounting Research

Abstract

We use Dealscan, a database of private corporate lending agreements, to provide large–sample tests of the debt covenant hypothesis. Dealscan offers several advantages over the data available in previous studies, principally larger and more representative samples and the availability of extensive actual covenant detail. These advantages allow us to construct powerful tests in which we find clear support for the debt covenant hypothesis. We also use these data to provide broad evidence on the economic role of debt covenants. We find that private lenders set debt covenants tightly and use them as “trip wires” for borrowers, that technical violations occur relatively often, and that violations are not necessarily associated with financial distress. Finally, since we measure covenant slack directly, we report evidence that the extensively–used leverage variable is a relatively noisy proxy for closeness to covenants.

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 · 10.1111/1475-679x.00083

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.

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

Cited by

See all 1,088

Metadata

Authors
Dichev, I. D., & Skinner, D. J.
Venue
Journal of Accounting Research
Publisher
Wiley
Published
2002-09
Volume
40
Issue
4
Pages
1091-1123
ISSN
  • 0021-8456 (ISSN-L)
  • 1475-679X
OpenAlex
W3122720032
Cited by
1,088
References
0
FWCI
46.94
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: Large–Sample Evidence on the Debt Covenant Hypothesis. https://app.cochat.ai/papers/10.1111/1475-679x.00083
The paper
Dichev, I. D., & Skinner, D. J. (2002). Large–Sample Evidence on the Debt Covenant Hypothesis. Journal of Accounting Research. https://doi.org/10.1111/1475-679x.00083

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.