The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Banks’ Non-Interest Income and Systemic Risk
Open accessAbstract
This paper finds noninterest income is positively correlated with the total systemic risk for U.S. banks. Decomposing total systemic risk into three components, we find that noninterest income is positively related to a bank’s tail risk, positively related to a bank’s interconnectedness risk, and an insignificantly related to a bank’s exposure to macroeconomic and finance factors. We also find that noninterest income is more volatile and negatively related to interest income. Finally, we find trading and other noninterest income to be positively correlated with systemic risk. Other noninterest income, compared with trading income, has a slightly larger economic impact. (JEL G01, G18, G20, G21, G32, G38) Received October 31, 2019; editorial decision February 3, 2020 by Editor Andrew Ellul.
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
Financial intermediation and delegated monitoring
Diamond, D. W. (1984) · The Review of Economic Studies · doi:10.2307/2297430 · Cited by 8,476 · cited 1×
“…(2014), and Saunders, Schmid, and Walter (2020) detect an insignificant relationship between noninterest 1 This banking role is a focus of Bernanke (1983), Fama (1985), Diamond (1984), James (1987), Gorton and Pennacchi (1990), Calomiris and Kahn (1991), and Kashyap, Rajan, and Stein (2002).”
BackgroundRegression Diagnostics -- Identifying Influential Data and Sources of Collinearity
Beaumont, C. D., Belsley, D. A., Kuh, E., & Welsch, R. E. (1981) · The Journal of the Operational Research Society · doi:10.2307/2581267 · Cited by 6,359
Deciphering the Liquidity and Credit Crunch 2007–2008
Brunnermeier, M. K. (2009) · Journal of Economic Perspectives · doi:10.1257/jep.23.1.77 · Cited by 3,322
Self-citationEconometric measures of connectedness and systemic risk in the finance and insurance sectors
Billio, M., Getmansky, M., Lo, A. W., & Pelizzon, L. (2012) · Journal of Financial Economics · doi:10.1016/j.jfineco.2011.12.010 · Cited by 2,511
Value At Risk: The New Benchmark for Managing Financial Risk
Jorion, P. (2000) · Cited by 2,477
Adrian, T., & Brunnermeier, M. K. (2016) · American Economic Review · doi:10.1257/aer.20120555 · Cited by 2,373
Self-citationFama, E. F. (1985) · Journal of Monetary Economics · doi:10.1016/0304-3932(85)90051-0 · Cited by 2,342
Non-Monetary Effects of the Financial Crisis in the Propagation of the Great Depression
Bernanke, B. (1983) · National Bureau of Economic Research · doi:10.3386/w1054 · Cited by 2,173
Acharya, V. V., Pedersen, L. H., Philippon, T., & Richardson, M. (2017) · Review of Financial Studies · doi:10.1093/rfs/hhw088 · Cited by 1,826
Some evidence on the uniqueness of bank loans
James, C. (1987) · Journal of Financial Economics · doi:10.1016/0304-405x(87)90003-1 · Cited by 1,610
Cited by
The emergence of the global fintech market: economic and technological determinants
Haddad, C., & Hornuf, L. (2019) · Small Business Economics · doi:10.1007/s11187-018-9991-x · Cited by 754
How does competition affect bank systemic risk?
Anginer, D., Demirguc-Kunt, A., & Zhu, M. (2014) · Journal of Financial Intermediation · doi:10.1016/j.jfi.2013.11.001 · Cited by 527
Does Systemic Risk in the Financial Sector Predict Future Economic Downturns?
Allen, L., Bali, T. G., & Tang, Y. (2012) · Review of Financial Studies · doi:10.1093/rfs/hhs094 · Cited by 438
Does local religiosity matter for bank risk-taking?
Adhikari, B. K., & Agrawal, A. (2016) · Journal of Corporate Finance · doi:10.1016/j.jcorpfin.2016.01.009 · Cited by 266
Metadata
- Authors
- Brunnermeier, M. K., Dong, G. (., & Palia, D.
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2012
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W1826680698
- Cited by
- 322
- References
- 48
- Type
- posted content
- 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: Banks’ Non-Interest Income and Systemic Risk. https://app.cochat.ai/papers/10.2139/ssrn.1786738
- The paper
- Brunnermeier, M. K., Dong, G. (., & Palia, D. (2012). Banks’ Non-Interest Income and Systemic Risk. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1786738
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.
