DocumentCode
3416352
Title
Visual analysis for mutual fund performance
Author
Zhao, Ye ; Alsakran, Jamal ; Zhao, Xinlei
Author_Institution
Kent State Univ., Kent, OH
fYear
2008
fDate
19-24 Oct. 2008
Firstpage
181
Lastpage
182
Abstract
Mutual funds are one of the most important investment instruments available. However, choosing among mutual funds is not an easy task because they vary in many different dimensions, such as asset size, turnover and fee structure, and these characteristics may affect fund returns. It is thus important to understand the relation between fund performance and these properties. In this work, we use a new visual analytical tool, the density-based distribution map, to assist in this task. By visualizing various important fund characteristics from a real-world database of the US stock funds, our new visual representations greatly help understand the relation between fund characteristics and returns.
Keywords
data visualisation; financial data processing; investment; stock markets; US stock fund; density-based distribution map; investment instrument; mutual fund performance; visual analysis; Data visualization; Decision making; Humans; Information systems; Instruments; Investments; Mutual funds; Performance analysis; Regression analysis; Visual databases; Decision Making; Distribution Map; Financial Data Visualization; H.1.2 [User/Machine Systems]: Human Information Processing—Visualization; H.4.2 [Information Systems Applications]: Types of Systems—Decision Support; Mutual Funds; Regression Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science and Technology, 2008. VAST '08. IEEE Symposium on
Conference_Location
Columbus, OH
Print_ISBN
978-1-4244-2935-6
Type
conf
DOI
10.1109/VAST.2008.4677376
Filename
4677376
Link To Document