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, a...
We present an agent-based model to study firm-bank credit market interactions in different phases of...
The global financial crisis of 2007/2008 has shown the importance of modeling economic agents not in...
In this paper we build on the network-based financial accelerator model of Delli Gatti et al. (2010)...
In this paper we investigate the sources of instability in credit and financial systems and the effe...
Standard models of the Bank Lending Channel are unable to yield predictions on the differential impa...
We present an agent-based model to study firm–bank credit market interactions in different phases of...
We build an agent-based model with a threefold financial accelerator: (i) leverage—negative shocks o...
This paper proposes a stochastic model of a bipartite credit network between banks and the non-bank ...
In this paper, we analyze a network model of banking relationships in the inter-banking market and w...
In this paper we explore the variety of monetary policy transmission channels in an agent-based macr...
Abstract This paper analyzes the propagation of monetary policy shocks through the creation of credi...
The paper presents an agent-based model reproducing a stylized credit network that evolves endogenou...
The paper presents an agent-based model reproducing a stylized credit network that evolves endogenou...
In this work we explore contagion from one institution to another that can stem from the existence o...
In this paper the authors extend the macroeconomic agent-based model described in Delli Gatti, D., D...
We present an agent-based model to study firm-bank credit market interactions in different phases of...
The global financial crisis of 2007/2008 has shown the importance of modeling economic agents not in...
In this paper we build on the network-based financial accelerator model of Delli Gatti et al. (2010)...
In this paper we investigate the sources of instability in credit and financial systems and the effe...
Standard models of the Bank Lending Channel are unable to yield predictions on the differential impa...
We present an agent-based model to study firm–bank credit market interactions in different phases of...
We build an agent-based model with a threefold financial accelerator: (i) leverage—negative shocks o...
This paper proposes a stochastic model of a bipartite credit network between banks and the non-bank ...
In this paper, we analyze a network model of banking relationships in the inter-banking market and w...
In this paper we explore the variety of monetary policy transmission channels in an agent-based macr...
Abstract This paper analyzes the propagation of monetary policy shocks through the creation of credi...
The paper presents an agent-based model reproducing a stylized credit network that evolves endogenou...
The paper presents an agent-based model reproducing a stylized credit network that evolves endogenou...
In this work we explore contagion from one institution to another that can stem from the existence o...
In this paper the authors extend the macroeconomic agent-based model described in Delli Gatti, D., D...
We present an agent-based model to study firm-bank credit market interactions in different phases of...
The global financial crisis of 2007/2008 has shown the importance of modeling economic agents not in...
In this paper we build on the network-based financial accelerator model of Delli Gatti et al. (2010)...