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The Application of Visual Analytics to Financial Stability Monitoring

Author

Listed:
  • Mark D. Flood

    (Office of Financial Research)

  • Victoria L. Lemieux

    (University of British Columbia)

  • Margaret Varga

    (University of Oxford)

  • B.L. William Wong

    (Middlesex University)

Abstract
This paper provides an overview of visual analytics -- the science of analytical reasoning enhanced by interactive visualizations tightly coupled with data analytics software -- and discusses its potential benefits in monitoring systemic financial stability. Macroprudential supervisors face a daunting challenge with at least three facets of the financial system. First, the financial system is complex, enormous, highly diverse, and constantly changing. Second, the set of financial and econometric models proposed to help comprehend threats to financial stability is large, diverse, and growing. Third, certain regulatory activities, such as rulemaking and decision-making, generate special requirements for transparency and accountability that can complicate or restrict the choices of tools and approaches. This paper explores these challenges in the context of visual analytics. Visual analytics can increase supervisors' comprehension of the data stream, helping to transform it into actionable knowledge to support decision- and policy-making. The paper concludes with suggestions for a research agenda.

Suggested Citation

  • Mark D. Flood & Victoria L. Lemieux & Margaret Varga & B.L. William Wong, 2014. "The Application of Visual Analytics to Financial Stability Monitoring," Working Papers 14-02, Office of Financial Research, US Department of the Treasury, revised 07 Oct 2014.
    • Handle: RePEc:ofr:wpaper:14-02
    as

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    File URL: https://financialresearch.gov/working-papers/files/OFRwp2014-02b_FloodLemieuxVargaWong_ApplicationVisualAnalyticsFinancialStabilityMonitoring_revised.pdf
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    References listed on IDEAS

    as
    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    2. Soramäki, Kimmo & Bech, Morten L. & Arnold, Jeffrey & Glass, Robert J. & Beyeler, Walter E., 2007. "The topology of interbank payment flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 317-333.
    3. Peter Sarlin, 2014. "Macroprudential oversight, risk communication and visualization," Papers 1404.4550, arXiv.org, revised Jun 2014.
    4. Brunetti, Celso & Harris, Jeffrey H. & Mankad, Shawn & Michailidis, George, 2019. "Interconnectedness in the interbank market," Journal of Financial Economics, Elsevier, vol. 133(2), pages 520-538.
    5. Bech, Morten L. & Bergstrom, Carl T. & Rosvall, Martin & Garratt, Rodney J., 2015. "Mapping change in the overnight money market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 44-51.
    6. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    7. Sarlin, Peter & Peltonen, Tuomas A., 2013. "Mapping the state of financial stability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 46-76.
    8. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    9. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    10. Khandani, Amir E. & Kim, Adlar J. & Lo, Andrew W., 2010. "Consumer credit-risk models via machine-learning algorithms," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2767-2787, November.
    11. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    12. Burcu Duygan-Bump & Patrick Parkinson & Eric Rosengren & Gustavo A. Suarez & Paul Willen, 2013. "How Effective Were the Federal Reserve Emergency Liquidity Facilities? Evidence from the Asset-Backed Commercial Paper Money Market Mutual Fund Liquidity Facility," Journal of Finance, American Finance Association, vol. 68(2), pages 715-737, April.
    13. repec:fip:fedcwp:13-12 is not listed on IDEAS
    14. Mark Flood & Jonathan Katz & Stephen Ong & Adam Smith, 2013. "Cryptography and the Economics of Supervisory Information: Balancing Transparency and Confidentiality," Working Papers 13-11, Office of Financial Research, US Department of the Treasury.
    15. AfDB AfDB, . "Zambia Country Office Annual Report 2012," Annual Report, African Development Bank, number 975.
    16. AfDB AfDB, . "Annual Report 2012 (Arabic Version)," Annual Report, African Development Bank, number 462.
    17. Ronald Heijmans & Richard Heuver & Clement Levallois & Iman van Lelyveld, 2014. "Dynamic visualization of large transaction networks: the daily Dutch overnight money market," DNB Working Papers 418, Netherlands Central Bank, Research Department.
    18. AfDB AfDB, . "Annual Report 2012," Annual Report, African Development Bank, number 461.
    19. Brose,Margarita S. & Flood,Mark D. & Krishna,Dilip & Nichols,Bill (ed.), 2014. "Handbook of Financial Data and Risk Information I," Cambridge Books, Cambridge University Press, number 9781107012011, September.
    20. Jonathan A. Schwabish, 2014. "An Economist's Guide to Visualizing Data," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 209-234, Winter.
    21. Benjamin J. Keys & Tanmoy Mukherjee & Amit Seru & Vikrant Vig, 2010. "Did Securitization Lead to Lax Screening? Evidence from Subprime Loans," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 307-362.
    22. Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Systemic Risk in the Finance and Insurance Sectors," NBER Working Papers 16223, National Bureau of Economic Research, Inc.
    23. Victoria Lemieux & Payam S. Rahmdel & Rick Walker & B.L. William Wong & Mark D. Flood, 2015. "Clustering Techniques and Their Effect on Portfolio Formation and Risk Analysis," Staff Discussion Papers 15-01, Office of Financial Research, US Department of the Treasury.
    24. AfDB AfDB, . "Annual Report 2012 (Portuguese Version)," Annual Report, African Development Bank, number 463.
    25. Sheri M Markose, 2013. "Systemic risk analytics: A data-driven multi-agent financial network (MAFN) approach," Journal of Banking Regulation, Palgrave Macmillan, vol. 14(3-4), pages 285-305, July.
    26. Office of Financial Research (ed.), 2013. "Office of Financial Research 2013 Annual Report," Reports, Office of Financial Research, US Department of the Treasury, number 13-2, May.
    27. Douglas J. Elliott & Greg Feldberg & Andreas Lehnert, 2013. "The History of Cyclical Macroprudential Policy in the United States," Working Papers 13-08, Office of Financial Research, US Department of the Treasury.
    28. WorldFish, 2013. "Annual report 2012/13," Monographs, The WorldFish Center, number 40306, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Aikman, David & Kiley, Michael & Lee, Seung Jung & Palumbo, Michael G. & Warusawitharana, Missaka, 2017. "Mapping heat in the U.S. financial system," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 36-64.
    2. Lang, Jan Hannes & Peltonen, Tuomas A. & Sarlin, Peter, 2018. "A framework for early-warning modeling with an application to banks," Working Paper Series 2182, European Central Bank.
    3. Cwynar Andrzej & Cwynar Wiktor & Pater Robert & Kaźmierkiewicz Piotr, 2017. "Information needs of financial market professionals in the big data and social media era. The empirical evidence from Poland," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 13(4), pages 1-13, December.
    4. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    5. Lusardi, Annamaria & Samek, Anya & Kapteyn, Arie & Glinert, Lewis & Hung, Angela & Heinberg, Aileen, 2017. "Visual tools and narratives: new ways to improve financial literacy," Journal of Pension Economics and Finance, Cambridge University Press, vol. 16(3), pages 297-323, July.
    6. Ajit Desai & Jacob Sharples & Anneke Kosse, 2024. "Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Granular data: new horizons and challenges, volume 61, Bank for International Settlements.
    7. Constantin Zopounidis & Michalis Doumpos & Dimitrios Niklis, 2018. "Financial decision support: an overview of developments and recent trends," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 63-76, June.
    8. Cees Diks & Cars Hommes & Juanxi Wang, 2019. "Critical slowing down as an early warning signal for financial crises?," Empirical Economics, Springer, vol. 57(4), pages 1201-1228, October.
    9. Zhibin Niu & Runlin Li & Junqi Wu & Dawei Cheng & Jiawan Zhang, 2020. "iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans," Papers 2006.09542, arXiv.org, revised Aug 2020.
    10. Stanley Fischer, 2015. "Financial Stability and Shadow Banks: What We Don't Know Could Hurt Us: a speech at the \"Financial Stability: Policy Analysis and Data Needs\" 2015 Financial Stability Conference sponsored ," Speech 885, Board of Governors of the Federal Reserve System (U.S.).
    11. Irving Fisher Committee, 2024. "Granular data: new horizons and challenges," IFC Bulletins, Bank for International Settlements, number 61.
    12. Mark E. Paddrik & Richard Haynes & Andrew E. Todd & William T. Scherer & Peter A. Beling, 2016. "Visual analysis to support regulators in electronic order book markets," Environment Systems and Decisions, Springer, vol. 36(2), pages 167-182, June.
    13. Bholat, David & Broughton, Nida & Ter Meer, Janna & Walczak, Eryk, 2019. "Enhancing central bank communications using simple and relatable information," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 1-15.
    14. Kinsella, Stephen, 2019. "Visualising economic crises using accounting models," Accounting, Organizations and Society, Elsevier, vol. 75(C), pages 1-16.
    15. Sophie Cockcroft & Mark Russell, 2018. "Big Data Opportunities for Accounting and Finance Practice and Research," Australian Accounting Review, CPA Australia, vol. 28(3), pages 323-333, September.
    16. Bholat, David, 2015. "Big data and central banks," Bank of England Quarterly Bulletin, Bank of England, vol. 55(1), pages 86-93.

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    More about this item

    Keywords

    Financial stability; macroprudential supervision; monitoring; systemic risk; visual analytics;
    All these keywords.

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