The DOI matches its Crossref record.
How Informative Are Value-at-Risk Disclosures?
Abstract
Value at Risk (VAR), a measure of the dollar amount of potential loss from adverse market moves, has become a standard benchmark for measuring financial risk. Spurred by regulators and competitive pressures, more institutions are reporting VAR numbers in annual and quarterly financial reports. To provide preliminary evidence on the informativeness of these new disclosures, I investigate the relation between the trading VAR disclosed by a small sample of U.S. commercial banks and the subsequent variability of their trading revenues. The empirical results suggest that VAR disclosures are informative in that they predict the variability of trading revenues. Thus, analysts and investors can use VAR disclosures to compare the risk profiles of banks' trading portfolios.
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
No references could be resolved yet.
Research works printed but not linked: 14
- Berkowitz, J., and J. O'Brien.2001. How accurate are the value at risk models at commercial banks? Working paper, Board of Governors of the Federal Reserve System. · DOI
- 10.1016/S0927-5398(01)00025-1 · DOI
- 10.1086/260061 · DOI · Paper page
- Jorion, P.2000. Value at Risk: The New Benchmark for Managing Financial Risk. New York, NY: McGraw-Hill.
- Ju X., 1999, Journal of Risk, 1, 5, 10.21314/JOR.1999.007 · DOI
- Linsmeier T., 1997, Accounting Horizons, 11, 107
- 2000, Financial Analysts Journal, 56, 47, 10.2469/faj.v56.n2.2343 · DOI · Paper page
- 2002, The Accounting Review, 77, 343, 10.2308/accr.2002.77.2.343 · DOI
- Marshall C., 1997, Journal of Derivatives, 4, 91, 10.3905/jod.1997.407975 · DOI
- Rajgopal S., 1999, The Accounting Review, 74, 251, 10.2308/accr.1999.74.3.251 · DOI
- Schrand C., 1997, The Accounting Review, 72, 87
- .1998. Review of the First Phase of Filings of Disclosures of Quantitative and Qualitative Information about Market Risk Inherent in Derivative Financial Instruments and Other Financial Instruments. Washington, D.C.: Government Printing Office.
- 10.1016/S0165-4101(96)00433-8 · DOI · Paper page
- 10.2307/2672939 · DOI
Cited by
Textual risk disclosures and investors’ risk perceptions
Kravet, T., & Muslu, V. (2013) · Review of Accounting Studies · doi:10.1007/s11142-013-9228-9 · Cited by 685
The benefits of specific risk-factor disclosures
Hope, O.-K., Hu, D., & Lu, H. (2016) · Review of Accounting Studies · doi:10.1007/s11142-016-9371-1 · Cited by 532
Analysing the determinants of narrative risk information in UK FTSE 100 annual reports
Abraham, S., & Cox, P. (2007) · The British Accounting Review · doi:10.1016/j.bar.2007.06.002 · Cited by 507
Risk reporting: A review of the literature and implications for future research✩
Elshandidy, T., Shrives, P. J., Bamber, M., & Abraham, S. (2018) · Journal of Accounting Literature · doi:10.1016/j.acclit.2017.12.001 · Cited by 166
Baan Wahh, W., Wong Sek Khin, E., & Abdullah, M. (2020) · Asian Journal of Accounting Perspectives · doi:10.22452/ajap.vol13no2.2 · Cited by 7
“…& Hussainey, 2012; Linsley & Shrives, 2006), Germany (Elshandidy & Shrives, 2016), Italy (Beretta & Bozzolan, 2004), Canada (Lajili, 2009; Lajili, & Zéghal, 2005) and the United States (Campbell, Chen, Dhaliwal, Lu, & Steele, 2014; Hope, Hu, & Lu, 2016; Jorion, 2002; Pérignon & Smith, 2010).”
Metadata
- Authors
- Jorion, P.
- Venue
- The Accounting Review
- Publisher
- American Accounting Association
- Published
- 2002-10-01
- Volume
- 77
- Issue
- 4
- Pages
- 911-931
- ISSN
- 0001-4826 (ISSN-L)
- 1558-7967
- OpenAlex
- W1991898715
- Cited by
- 258
- References
- 0
- FWCI
- 31.29
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.