Market behaviors and dynamic evolution on heterogeneous agent clusters

Financial markets consist of agent clusters with different sizes and orientations (buy or sell). When two heterogeneous agent clusters encounter, an exchange occurs; while two homogeneous ones meet, they may merge into a bigger one. We propose a heterogeneous agent interacting herding model, by introducing a parameter, reliability k, thus leading to the asymmetry of the action of trading and incorporating. Numerical calculation shows that the artificial market dynamics changes significantly when varying reliability. For a specific k, the dynamics exhibit some behaviors very close to real markets.