Using Visual Analytics to Enhance Data Exploration and Knowledge Discovery in Financial Systemic Risk Analysis: The Multivariate Density Estimator

Lemieux, Victoria L.; Shieh, Benjamin W.K.; Lau, David; Jun, Sun Hwan; Dang, Thomas; Chu, Johnathan; Tam, Geran

Permalink

https://hdl.handle.net/2142/47272 Copy

Description

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

Issue Date

2014-03-01

Keyword(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.

Publisher

iSchools

Series/Report Name or Number

iConference 2014 Proceedings

Type of Resource

text

Language

english

Permalink

http://hdl.handle.net/2142/47272

DOI

https://doi.org/10.9776/14307

Copyright and License 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.

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