Credit concentration under macroprudential policy: An agent-based model approach
This work aims to investigate the effects of macroprudential policy on credit concentration 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 situation where banks, depositors, a central bank, firms, and a clearing house compose an artificial financial system under different scenarios regarding macroprudential policy instances. Information asymmetry is introduced in the lending market. We find that the prudential policy increases concentration, measured by the Herfindahl-Hirschman Index (HHI) and Concentration Ratio (CR), in the lending market, reducing the supply of loans to small firms. At the same time, the increased concentration does not appear to exert a negative impact on financial stability.