The purpose of this paper is to explore the impact of monetary policy shocks on a financial network, which we dub the "financial network channel of monetary policy transmission". To this aim, we develop a agent-based model (ABM) in which banks extend loans to firms. The resulting bank-firm credit network is structured as determined by plausible behavioral assumptions, with both firms and banks being always willing to close a credit deal with the network partner perceived to be less risky. As our ABM succeeds in reproducing several key stylized facts of bank-firm credit networks, we then assess through simulations how exogenous shocks to the policy interest rate affect some key topological measures of the bank-firm credit network (density, assortativity, size of largest component, and degree distribution). Our simulations show that such topological features of the bank-firm credit network are significantly affected by shocks to the policy interest rate, with such an impact varying quantitatively and qualitatively with the sign, magnitude, and duration of the shocks.
The financial network channel of monetary policy transmission: an agent-based model / Alexandre, M; Lima, Gt; Riccetti, L; Russo, A. - In: JOURNAL OF ECONOMIC INTERACTION AND COORDINATION. - ISSN 1860-711X. - STAMPA. - 18:3(2023), pp. 533-571. [10.1007/s11403-023-00377-w]
The financial network channel of monetary policy transmission: an agent-based model
Riccetti, L;Russo, A
2023-01-01
Abstract
The purpose of this paper is to explore the impact of monetary policy shocks on a financial network, which we dub the "financial network channel of monetary policy transmission". To this aim, we develop a agent-based model (ABM) in which banks extend loans to firms. The resulting bank-firm credit network is structured as determined by plausible behavioral assumptions, with both firms and banks being always willing to close a credit deal with the network partner perceived to be less risky. As our ABM succeeds in reproducing several key stylized facts of bank-firm credit networks, we then assess through simulations how exogenous shocks to the policy interest rate affect some key topological measures of the bank-firm credit network (density, assortativity, size of largest component, and degree distribution). Our simulations show that such topological features of the bank-firm credit network are significantly affected by shocks to the policy interest rate, with such an impact varying quantitatively and qualitatively with the sign, magnitude, and duration of the shocks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.