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Cited by 659

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

A Survey of Systemic Risk Analytics

Bisias, Dimitrios, Flood, Mark, Lo, Andrew W., Valavanis, Stavros·2012·Annual Review of Financial Economics

Abstract

We provide a survey of 31 quantitative measures of systemic risk in the economics and finance literature, chosen to span key themes and issues in systemic risk measurement and management. We motivate these measures from the supervisory, research, and data perspectives in the main text and present concise definitions of each risk measure—including required inputs, expected outputs, and data requirements—in an extensive Supplemental Appendix. To encourage experimentation and innovation among as broad an audience as possible, we have developed an open-source Matlab® library for most of the analytics surveyed, which, once tested, will be accessible through the Office of Financial Research (OFR) at http://www.treasury.gov/initiatives/wsr/ofr/Pages/default.aspx .

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Crossref · 10.1146/annurev-financial-110311-101754

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Metadata

Authors
Bisias, D., Flood, M., Lo, A. W., & Valavanis, S.
Venue
Annual Review of Financial Economics
Published
2012-10-01
Volume
4
Issue
1
Pages
255-296
ISSN
  • 1941-1367 (ISSN-L)
  • 1941-1375
OpenAlex
W3123085324
Cited by
659
References
84
FWCI
12.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Survey of Systemic Risk Analytics. https://app.cochat.ai/papers/10.1146/annurev-financial-110311-101754
The paper
Bisias, D., Flood, M., Lo, A. W., & Valavanis, S. (2012). A Survey of Systemic Risk Analytics. Annual Review of Financial Economics. https://doi.org/10.1146/annurev-financial-110311-101754

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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.