Visualizing Investment Decision on Decision Balls

Abstract

Decision makers' choices are often influenced by visual background information. This study uses open-ended equity funds in Taiwan to investigate three well-known optimal portfolio models, including the mean-variance, maximin, and minimization of mean absolute deviation. The optimal portfolios are then visualized on Decision Balls to assist investors in making investment decisions. By observing the Decision Balls, investors can see the optimal portfolios, compare the optimal weights provided by the different models, view the cluster of funds, and even find substitute funds if preferred funds are not available.

Multicriteria decision making under uncertainty: a visual approach

“…Ehrgott () describes visualizations of multicriteria decision problems in the decision space as well as in the criterion and objective space. The recent contribution by Ma () applies the author's visualization technique on decision balls to investment decisions.…”