Visualizations for Financial Market Regulation

Posted: 18 Apr 2013 Last revised: 16 Apr 2015

See all articles by Mark E. Paddrik

Mark E. Paddrik

Government of the United States of America - Office of Financial Research

Richard Haynes

Government of the United States of America - Department of the Treasury

Andrew Todd

University of Virginia

William Scherer

IEEE Intelligent Transportation Systems Society

Peter Beling

University of Virginia, Dept. of System & Information Engineering

Date Written: April 17, 2013

Abstract

The technological advancement of financial markets has allowed for trade to move to being nearly entirely electronic, with the majority of trades placed by automated participants. This has resulted in drastic increases in the quantity and complexity of regulatory data. The processing and analyzing of these markets and participants have emerged as a serious challenge for financial regulators. New order types, intra-market behavior and other exchange functionality further complicate the task of understanding market behavior and events. Data visualizations have proven to be a fundamental tool for building intuition and enabling exploratory data analysis in many fields. In this paper, we propose the incorporation of visualizations in the workflow of multiple financial regulatory roles, including market surveillance, enforcement, and academic research.

Keywords: Visual Anaylsis, Financial Market Regulation, Financial Data, Electronic Order Book

Suggested Citation

Paddrik, Mark Endel and Haynes, Richard and Todd, Andrew and Scherer, William and Beling, Peter, Visualizations for Financial Market Regulation (April 17, 2013). Available at SSRN: https://ssrn.com/abstract=2252598 or http://dx.doi.org/10.2139/ssrn.2252598

Mark Endel Paddrik (Contact Author)

Government of the United States of America - Office of Financial Research ( email )

717 14th Street, NW
Washington DC, DC 20005
United States

Richard Haynes

Government of the United States of America - Department of the Treasury ( email )

1500 Pennsylvania Avenue, NW
Washington, DC 20220
United States

Andrew Todd

University of Virginia ( email )

1400 University Ave
Charlottesville, VA 22903
United States

William Scherer

IEEE Intelligent Transportation Systems Society

United States

Peter Beling

University of Virginia, Dept. of System & Information Engineering ( email )

1400 University Ave
Charlottesville, VA 22903
United States

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