We develop a simple agent-based financial market model in which heterogeneous speculators apply technical and fundamental analysis to trade in two different stock markets. Speculators' strategy/market selections are repeated at each time step and depend on predisposition effects, herding...

We develop a simple agent-based financial market model in which heterogeneous speculators apply technical and fundamental analysis to trade in two different stock markets. Speculators' strategy/market selections are repeated at each time step and depend on predisposition effects, herding...

We develop a simple agent-based financial market model in which speculators' market entry decisions are subject to herding behavior and market risk. Moreover, speculators' orders depend on price trends, market misalignments and fundamental news. Using a mix of analytical and numerical tools, we...

We modify Samuelson's multiplier-accelerator model to explore the influence of expectations on fluctuations in economic activity. Within our model, the agents use a nonlinear mix of extrapolative and regressive forecast rules to predict the output. Our model is able to mimic some generic...

We modify Samuelson's multiplier-accelerator model to explore the influence of expectations on fluctuations in economic activity. Within our model, the agents use a nonlinear mix of extrapolative and regressive forecast rules to predict the output. Our model is able to mimic some generic...

We propose a novel agent-based financial market framework in which speculators usually follow their own individual technical and fundamental trading rules to determine their orders. However, there are also sunspot-initiated periods in which their trading behavior is correlated. We are able to...