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dc.contributor.authorAlexandre, Michel
dc.contributor.authorLima, Gilberto Tadeu
dc.contributor.authorRICCETTI, LUCA
dc.contributor.authorRusso, Alberto
dc.date.accessioned2023-07-06T07:38:50Z
dc.date.available2023-07-06T07:38:50Z
dc.date.issued2023-01-13
dc.identifier.citationAlexandre, M., Lima, G.T., Riccetti, L. et al. The financial network channel of monetary policy transmission: an agent-based model. J Econ Interact Coord 18, 533–571 (2023). https://doi.org/10.1007/s11403-023-00377-wca_CA
dc.identifier.issn1860-711X
dc.identifier.issn1860-7128
dc.identifier.urihttp://hdl.handle.net/10234/203082
dc.description.abstractThe 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.ca_CA
dc.format.extent35 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherSpringerca_CA
dc.relation.isPartOfJournal of Economic Interaction and Coordination, volume 18, pages533–571 (2023)ca_CA
dc.relation.uriSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. We are grateful to the Editor-in-Chief and two anonymous referees for this journal for helpful comments. Any remaining errors are our own.ca_CA
dc.rightsSpringer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/ca_CA
dc.subjectfinancial networkca_CA
dc.subjectmonetary policy shocksca_CA
dc.subjectagent-based modelingca_CA
dc.titleThe financial network channel of monetary policy transmission: an agent-based modelca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.subject.jelC63ca_CA
dc.subject.jelE51ca_CA
dc.subject.jelE52ca_CA
dc.subject.jelG21ca_CA
dc.identifier.doihttps://doi.org/10.1007/s11403-023-00377-w
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/acceptedVersionca_CA
project.funder.nameUniversitat Jaume Ica_CA
project.funder.nameNational Council of Scientific and Technological Development (CNPq - Brazil)ca_CA
oaire.awardNumberUJI-B2020-16 and AICO/2021/005ca_CA
oaire.awardNumbergrant 311811/2018-3ca_CA


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