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A Survey of Systemic Risk Analytics

  • Dimitrios Bisias

    ()

    (Operations Research Center)

  • Mark Flood

    ()

    (Office of Financial Research, US Department of the Treasury, Washington, DC 20220)

  • Andrew W. Lo

    ()

    (Sloan School of Management
    Laboratory for Financial Engineering, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, AlphaSimplex Group, LLC, Cambridge, Massachusetts 02142)

  • Stavros Valavanis

    ()

    (Laboratory for Financial Engineering)

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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File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev-financial-110311-101754
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Article provided by Annual Reviews in its journal Annual Review of Financial Economics.

Volume (Year): 4 (2012)
Issue (Month): 1 (October)
Pages: 255-296

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Handle: RePEc:anr:refeco:v:4:y:2012:p:255-296
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