The DOI matches its Crossref record.
Bank Loan Commitment Contracts: Data, Theory, and Tests
Open accessAbstract
Over 80% of all commercial bank lending to corporations in the U.S. is done via bank loan commitments. Yet we have little empirical knowledge of loan commitment contracts. In this paper we describe the rich contractual structure of bank loan commitments based on data pertaining to over 2,500 contracts. We then develop a model which demonstrates that the observed complex structure of bank loan commitment contracts (which typically include multiple fee structures, borrower-specific contracting variables, and the standard "material adverse change clause") is important when the bank faces borrower adverse selection and moral hazard problems. Finally, we verify the robustness of our model by confronting its additional testable predictions with the data.
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
Cited by
Can Relationship Banking Survive Competition?
Boot, A. W. A., & Thakor, A. V. (2000) · The Journal of Finance · doi:10.1111/0022-1082.00223 · Cited by 1,590
Self-citationBanks as Liquidity Providers: An Explanation for the Coexistence of Lending and Deposit‐taking
Kashyap, A. K., Rajan, R., & Stein, J. C. (2002) · The Journal of Finance · doi:10.1111/1540-6261.00415 · Cited by 1,442
Berger, A. N., & Bouwman, C. H. S. (2009) · Review of Financial Studies · doi:10.1093/rfs/hhn104 · Cited by 1,295
Bank Lines of Credit in Corporate Finance: An Empirical Analysis
Sufi, A. (2009) · Review of Financial Studies · doi:10.1093/revfin/hhm007 · Cited by 959
Liquidity Management and Corporate Investment During a Financial Crisis
Campello, M., Giambona, E., Graham, J. R., & Harvey, C. R. (2011) · Review of Financial Studies · doi:10.1093/rfs/hhq131 · Cited by 656
Metadata
- Authors
- Shockley, R. L., & Thakor, A. V.
- Venue
- Journal of Money, Credit and Banking
- Publisher
- JSTOR
- Published
- 1997-11
- Volume
- 29
- Issue
- 4
- Pages
- 517
- ISSN
- 0022-2879 (ISSN-L)
- OpenAlex
- W3123182456
- Cited by
- 225
- References
- 0
- FWCI
- 7.27
- 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: Bank Loan Commitment Contracts: Data, Theory, and Tests. https://app.cochat.ai/papers/10.2307/2953711
- The paper
- Shockley, R. L., & Thakor, A. V. (1997). Bank Loan Commitment Contracts: Data, Theory, and Tests. Journal of Money, Credit and Banking. https://doi.org/10.2307/2953711
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.