The Application of Visual Analytics to Financial Stability Monitoring

Mark Flood, Victoria Lemieux (), Margaret Varga () and B.L. William Wong ()
Additional contact information
Margaret Varga: University of Oxford
B.L. William Wong: Middlesex University

No 14-02, Working Papers from Office of Financial Research, US Department of the Treasury

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.

Keywords: Financial stability; macroprudential supervision; monitoring; systemic risk; visual analytics (search for similar items in EconPapers)
Pages: 61 pages
Date: 2014-05-09, Revised 2015-07-30
New Economics Papers: this item is included in nep-ban and nep-cba
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Journal Article: The application of visual analytics to financial stability monitoring (2016)
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