Bubbles and Crashes: a Simulation Approach

In joint work since 2004 we have created a family of agent-based models for nancial markets in which bubbles and crashes occur in imitation of real markets. The evolution of behavioral rules in these models has shed light on some possible mechanisms used by human account managers or traders. Our programming environment, NetLogo, has proved ideal for this work, and also oers a feature, HubNet, capable of extending simulations to include human

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