Abstract
The variety of investment methods and the complexity of investment decisions have increased steadily in the last two decades. This growth has created a need for comprehensive and expandable financial decision support systems (DSS) that embody major approaches toward investment decisions. The question is whether such systems should take into account the investor's unique requirements and personal characteristics. The answer to this question is critical to the development of personal intelligent financial agents. In this paper, we present the design of such a system, the creation of a prototype, and its use in an exploratory investigation of the impact of investors' individual characteristics on their use of models in making investment decisions. More specifically, we report on how the gender of investors, and their attitudes towards risk, relate to their choice of investment models, and provide evidence for the possibility of personalizing DSS.
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