Abstract:Las crisis financieras de los años noventa y, especialmente, la crisis que afectó a la economía mundial en 2007-08 han evidenciado la importancia de modelar a los agentes económicos no de forma aislada sino como componentes interconectados e interactivos de sistemas que evolucionan dinámicamente. En este marco, el campo de los sistemas complejos para el estudio de la dinámica económica ha sido objeto de renovado interés. Este trabajo se basa en la hipótesis de inestabilidad financiera (HIF) de Minsky y en la l… Show more
“…the composition of the group of banks observed by each non-self-financed firm (which is random); (iii) the modification in the financial conditions of the banks and firms, as well as the expectations of the banks regarding the future evolution of the economy, factors that determine credit and interest rate; and (iv) the resulting links formation. For further details on credit-network formation we refer to Noguera and Montes-Rojas (2022).…”
The global financial crisis of 2007/2008 has shown the importance of modeling economic agents not in isolation but as interconnected and interactive components of dynamically evolving systems. Within this framework, the field of complex systems for the study of economic dynamics has been the object of renewed interest. This paper is based on Minsky's Financial Instability Hypothesis and on the literature of Agent-Based Models to analyze a bank credit market where heterogeneous firms and banks interact following game theory rules. The objective is twofold: (1) to evaluate the influence of bank behavior on the formation of the credit network and the spread of financial difficulties in an agent-based model; and, (2) to analyze the properties of the emerging credit network and its influence on macroeconomic performance. Our simulations suggest that aggregate economic instability may arise as a result of the liquidity preference behavior of banks that restrict credit to the productive sector when they have pessimistic expectations.
“…the composition of the group of banks observed by each non-self-financed firm (which is random); (iii) the modification in the financial conditions of the banks and firms, as well as the expectations of the banks regarding the future evolution of the economy, factors that determine credit and interest rate; and (iv) the resulting links formation. For further details on credit-network formation we refer to Noguera and Montes-Rojas (2022).…”
The global financial crisis of 2007/2008 has shown the importance of modeling economic agents not in isolation but as interconnected and interactive components of dynamically evolving systems. Within this framework, the field of complex systems for the study of economic dynamics has been the object of renewed interest. This paper is based on Minsky's Financial Instability Hypothesis and on the literature of Agent-Based Models to analyze a bank credit market where heterogeneous firms and banks interact following game theory rules. The objective is twofold: (1) to evaluate the influence of bank behavior on the formation of the credit network and the spread of financial difficulties in an agent-based model; and, (2) to analyze the properties of the emerging credit network and its influence on macroeconomic performance. Our simulations suggest that aggregate economic instability may arise as a result of the liquidity preference behavior of banks that restrict credit to the productive sector when they have pessimistic expectations.
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