Mostrar el registro sencillo del ítem

dc.contributor.authorGiraldo C
dc.contributor.authorGiraldo I
dc.contributor.authorGomez-Gonzalez J.E
dc.contributor.authorUribe J.M.
dc.date.accessioned2024-10-07T21:39:17Z
dc.date.available2024-10-07T21:39:17Z
dc.date.issued2024
dc.identifier.issn2649993
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85200842185&doi=10.1016%2fj.econmod.2024.106835&partnerID=40&md5=0f4af13d1785071a85fed8b98d14c564
dc.identifier.urihttp://hdl.handle.net/10818/61884
dc.description.abstractThe impact of financial openness on banking stability is complex, with debate on its benefits and drawbacks. Theoretical literature suggests a positive relationship between financial openness and growth, development, and stability, but empirical studies reveal conflicting evidence. This paper examines these contradictions by analyzing data from 58 countries between 2010 and 2020. Using various measures for financial openness and stability, and a double debiased machine learning (DDML) model to control for confounders, we find that financial openness generally enhances banking stability, evidenced by lower nonperforming loan ratios, higher capital adequacy ratios, and increased bank liquidity. However, receptiveness to capital inflows heightens financial vulnerability. Policy implications suggest deeper integration with global markets promotes stability without harming bank profitability, advising against prolonged use of macroprudential policies which hinder development. Our results emphasize careful proxy selection for financial openness and stability, advocating sophisticated techniques like DDML to uncover direct effects. © 2024 Elsevier B.V.en
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.publisherEconomic Modellinges_CO
dc.relation.ispartofseriesEconomic Modelling Vol. 139 N° art. 106835
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceUniversidad de La Sabanaes_CO
dc.sourceIntellectum Repositorio Universidad de La Sabanaes_CO
dc.subject.otherDouble-debiased machine learningen
dc.subject.otherFinancial stabilityen
dc.subject.otherIntegrationen
dc.subject.otherOpennessen
dc.titleFinancial integration and banking stability: A post-global crisis assessmenten
dc.typejournal articlees_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccesses_CO
dc.identifier.doi10.1016/j.econmod.2024.106835


Ficheros en el ítem

FicherosTamañoFormatoVer

No hay ficheros asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International