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Title:Using Visual Analytics to Enhance Data Exploration and Knowledge Discovery in Financial Systemic Risk Analysis: The Multivariate Density Estimator
Author(s):Lemieux, Victoria L.; Shieh, Benjamin W.K.; Lau, David; Jun, Sun Hwan; Dang, Thomas; Chu, Johnathan; Tam, Geran
Subject(s):financial systemic risk analysis
financial transparency
visual analytics
treemap
Abstract:Analyzing and managing the risks in financial systems is necessary to maintain healthy global financial systems and economic wellbeing. However, the complexity of the financial system and the heterogeneity and volume of data sources needed for financial systemic risk analysis are currently overwhelming. Visual Analytics tools can be used to provide macroprudential supervisors with greater visibility into the health of financial systems by augmenting their information processing capabilities. To this end, we present a novel prototype design for a visual analytics tool that implements the multivariate density estimator of financial systemic risk, explaining how it addresses macroprudential supervisors' need for enhanced data exploration and knowledge discovery capabilities.
Issue Date:2014-03-01
Publisher:iSchools
Citation Info:Lemieux, V. L., Shieh, B. W. K., Lau, D., Jun, S. H., Dang, T., Chu, J., & Tam, G. (2014). Using Visual Analytics to Enhance Data Exploration and Knowledge Discovery in Financial Systemic Risk Analysis: The Multivariate Density Estimator. In iConference 2014 Proceedings (p. 649 - 653). doi:10.9776/14307
Series/Report:iConference 2014 Proceedings
Genre:Conference Paper / Presentation
Type:Text
Language:english
URI:http://hdl.handle.net/2142/47272
DOI:10.9776/14307
Other Identifier(s):307
Publication Status:published
Peer Reviewed:yes
Rights Information:Copyright 2014 is held by the authors of individual items in the proceedings. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2014-02-28


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