At this meeting Milan made a presentation about his research, of which the basic idea is that the agent-based methodology (artificial financial markets), due to its flexibility and bottom-up-approach, are a suitable tool to test the predictions of behavioral finance (a sub discipline that combines financial theories with the insights from psychology and neuroscience in order to give a better description of individual investor behavior).
Milan gave a theoretical background of his research, discussing the components of the conceptual model of individual investor, such as risk attitude, time preference, motivation and goals, strategies, heuristics and biases, emotions, personality, demographics, and dual-process theories of human cognition.
The presentation finished with open questions regarding the actual implementation of the conceptual model.
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