Investigating the role of social behavior in financial markets through agent-based simulation

An evolutionary agent-based model inspired by the adaptive market hypothesis is used to investigate the link between the microscopic parameter of sentiment and market price movements. Agents model cognitive and social behaviors by means of rules wired into their decision-making models and of parameters encoded in their genome. Results show that co-evolution and social interaction among traders are responsible for bubbles and crashes