Financial visualization case study: Correlating financial timeseries and discrete events to support investment decisions

Proceedings of the International Conference on Information Visualisation

Volumn , Issue , 2013, Pages 232-238

  Sorenson, Eugene ^a   Brath, Richard ^b  

^a Bloomberg LP   (United States)

^b Uncharted Software Inc   (United States)

Author keywords

Financial visualization; Multi attribute gylphs; Timeseries visualization

Indexed keywords

FINANCIAL MARKET; FINANCIAL TIME SERIES; INVESTMENT DECISIONS; MULTI-ATTRIBUTES; QUANTITATIVE DATA; TIME-SERIES DATA; VISUAL DATA ANALYSIS; VISUAL REPRESENTATIONS;

FINANCIAL DATA PROCESSING; INVESTMENTS; VISUALIZATION;

DATA VISUALIZATION;

EID: 84893315932     PISSN: 10939547     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IV.2013.31     Document Type: Conference Paper

References (17)

1. M. Bloomberg. Bloomberg by Bloomberg. Wiley, New York. 2001.
2. M. Arrington. Google Finance-Lots of Flash & Ajax, TechCrunch, http://techcrunch.com/2006/03/21/googlefinance-lots-of-flash-ajax 2006.
3. J. Larkin, H. Simon. Why a Diagram is (Sometimes) Worth Ten Thousand Words. In Cognitive Science, vol. 11, no. 1, pp. 65-99, Jan. 1987.
4. J. Bertin. Semiologie Graphique, Gauthier-Villars, Paris 1967.
5. A. Grafton, D. Rosenberg. Cartographies of Time: A History of the Timeline. Princeton Architectural Press. 2010.
6. W. C. Brinton. Graphic Methods for Presenting Facts. Engineering Magazine Company, New York, 1919.
7. S. B. Cousins and M. G. Kahn, The visual display of temporal information, Artificial Intelligence in Medicine, vol. 3, pp. 341-357, 1991.
8. C. Plaisant, et al., LifeLines: Visualizing Personal Histories, in ACM CHI'96 Conference, 1996, pp. 221-227.
9. S. Rose. Social Stratification in the United States. The New Press. 2007.
10. A. Barr. Superquadrics and angle-preserving transformations. IEEE Computer Graphics and Applications 1, 1 (Jan. 1981), 11-23.
11. H. Chernoff. The use of faces to represent points in kdimensional space graphically. J. American Statistical Association 68, 342 (1973), pp. 361-368.
12. R. Rohrer, D. Ebert, J. Sibert. The shape of Shakespeare: Visualizing text using implicit surfaces. Proceedings Visualization 98 (Research Triangle Park, NC). Los Alamitos, CA: IEEE Computer Society Press, 1998; 121-129.
13. F. Post, T. Walsum, F. Post. Iconic techniques for feature visualization. Proceedings Visualization 95 (Atlanta, GA). Los Alamitos, CA: IEEE Computer Society Press, 1995; 288-295.
14. M. Ward. A Taxonomy of glyph placement strategies for multidimensional data visualization. Journal of Information Visualization 1 (3-4). 2004. pp. 194-210.
15. R. Brath. The Many Dimensions of Shape. IV09 Opening Keynote, www.oculusinfo.com/expertise.html
16. R. Brath. Multiple Shape Attributes in Information Visualization: Guidance from Prior Art and Experiments. Proc. Information Visualization 2010 (IV10),14th Int'l Conf. pp. 433-438, 2010.
17. B. Spence and M. Apperley. A Professional's Interface Using the Bifocal Display. In: Proceedings of the 1981 Office Automation Conference 1981. pp. 313-315, 1981.