• DocumentCode
    1791620
  • Title

    Visualizations for sense-making in financial market regulation

  • Author

    Todd, Andrew ; Scherer, William ; Beling, Peter ; Paddrik, Mark ; Haynes, Richard

  • Author_Institution
    Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    730
  • Lastpage
    735
  • Abstract
    Electronic markets and automated trading have resulted in a drastic increase in the quantity and complexity of regulatory data. Regulatory analysis now includes detailed analysis of all messaging and communications related to electronic limit order books. New order types, intra-market behavior and other exchange functionality further complicate analysis. 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
    data analysis; data visualisation; stock markets; automated trading; data visualizations; electronic limit order books; electronic markets; exploratory data analysis; financial market regulation; intramarket behavior; regulatory data analysis; Animation; Consumer electronics; Data analysis; Data visualization; Feeds; Heating; Regulators; Electronic Order Book; Financial Data; Financial Market Regulation; Visual Anaylsis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2014 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/BigData.2014.7004297
  • Filename
    7004297