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Cited by 394

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Banks Response to Higher Capital Requirements: Evidence from a Quasi-Natural Experiment

Open access
Gropp, Reint, Mosk, Thomas, Ongena, Steven, Wix, Carlo·2019·The Review of Financial Studies

Abstract

We study the impact of higher capital requirements on banks’ balance sheets and their transmission to the real economy. The 2011 EBA capital exercise is an almost ideal quasi-natural experiment to identify this impact with a difference-in-differences matching estimator. We find that treated banks increase their capital ratios by reducing their risk-weighted assets, not by raising their levels of equity, consistent with debt overhang. Banks reduce lending to corporate and retail customers, resulting in lower asset, investment, and sales growth for firms obtaining a larger share of their bank credit from the treated banks. Received November 28, 2016; editorial decision March 9, 2018 by Editor Philip Strahan. Authors have furnished an Internet Appendix, which are available on the Oxford University Press Web site next to the link to the final published paper online.

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Metadata

Authors
Gropp, R., Mosk, T., Ongena, S., & Wix, C.
Venue
The Review of Financial Studies
Published
2018-04-24
Volume
32
Issue
1
Pages
266-299
ISSN
  • 0893-9454 (ISSN-L)
  • 1465-7368
OpenAlex
W3125079544
Cited by
394
References
26
FWCI
42.07
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Banks Response to Higher Capital Requirements: Evidence from a Quasi-Natural Experiment. https://app.cochat.ai/papers/10.1093/rfs/hhy052
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Gropp, R., Mosk, T., Ongena, S., & Wix, C. (2019). Banks Response to Higher Capital Requirements: Evidence from a Quasi-Natural Experiment. The Review of Financial Studies. https://doi.org/10.1093/rfs/hhy052

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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.