Credit concentration under macroprudential and monetary policy: An agent-based model approach.
Banking, Monetary policy, Macroprudential Policy, Agent-Based Model, Credi
This work aims to investigate the concentration of credit and the behavior of financial agents in a complex setting where they interact and learn about the environment. Using the bottom-up approach of agent-based models, we simulate a model where banks, depositors, a central bank, firms, and a clearing house compose an artificial financial system They act with bounded rationality and adaptive learning in order to reach their desired outcome. We explore how, under asymmetry of information in the lending market, credit distribution is impacted by different monetary and macroprudential instances.