Title :
Visual analysis for mutual fund performance
Author :
Zhao, Ye ; Alsakran, Jamal ; Zhao, Xinlei
Author_Institution :
Kent State Univ., Kent, OH
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;
Conference_Titel :
Visual Analytics Science and Technology, 2008. VAST '08. IEEE Symposium on
Conference_Location :
Columbus, OH
Print_ISBN :
978-1-4244-2935-6
DOI :
10.1109/VAST.2008.4677376