Simudyne is the first solution provider to bring agent-based modeling into the financial enterprise

Why agent-based modeling?

There are several market dynamics that traditional methods struggle to model, such as contagion effects, feedback loops and structural changes.

Agent-based models attempt to capture the behavior and interaction of individual entities within an environment and can recreate complex dynamics.

This means that with agent-based modeling, you can solve problems where traditional methods are not sufficient, such as risk management, market execution or financial crime analytics.