Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using Two-Dimensional Colormaps
July 4, 2007 to July 6, 2007
Hartmut Ziegler , University of Konstanz, Germany
Tilo Nietzschmann , University of Konstanz, Germany
Daniel A. Keim , University of Konstanz, Germany
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2007.124
This work describes two pixel-based paradigms for visual financial time series data analysis that allow analyzing assets in overview and in detail, and offer improved insights into the characteristics of assets compared to traditional visualization methods. We contribute a two-dimensional color coding scheme for inter-/intra-asset analysis that extends the two paradigms and supports the discovery of significant characteristics of assets, such as atypical "against-the-market-behavior in form of exceptional stability in case of whole market losses, or the discovery of assets in a portfolio that - while still being profitable - notably underperform the market median. We apply our techniques on real world data sets, and focus on assets of the banks of Switzerland.
Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim, "Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using Two-Dimensional Colormaps", IV, 2007, 2013 17th International Conference on Information Visualisation, 2013 17th International Conference on Information Visualisation 2007, pp. 308-315, doi:10.1109/IV.2007.124