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.
ABM for market simulation
Model realistic market dynamics with a next generation, high-fidelity agent-based market simulator.
ABM for FinCrime analytics
Minimize financial crime while reducing cost in a GDPR compliant virtual environment.
ABM for risk management
Run multiple what-if scenarios to make better informed, forward-looking business decisions.
Latest ABM resources
MD, principal investments at Barclays Bank