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.
What is Agent-Based Modeling?
Find out more about the origin of agent-based modeling in this in-depth article.
Why are Agent-Based Models useful?
Why do agent-based models give a more robust view of the financial system?
How do Agent-Based Models work?
What are the components of an ABM and how do they actually work?
Latest ABM resources
MD, principal investments at Barclays Bank