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Systemic Importance Index for Financial Institutions: A Principal Component Analysis approach

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dc.creator León, Carlos
dc.creator Murcia, Andrés
dc.date 2012-03-12
dc.date.accessioned 2022-03-22T19:37:18Z
dc.date.available 2022-03-22T19:37:18Z
dc.identifier https://revistas.uexternado.edu.co/index.php/odeon/article/view/3699
dc.identifier.uri http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/100368
dc.description As a result of the most recent global financial crisis, literature has embraced size, connectedness and substitutability as key indicators for financial institutions’ systemic importance. This paper applies Principal Components Analysis to some metrics for assessing size, connectedness and substitutability, where those metrics rely on a combination of balance sheet data and the application of network theory to large-value payment system’s information. The main results are the following: (i) the three concepts and their metrics are explanatory and non-redundant for differentiating financial institutions’ relative systemic importance; (ii) these metrics allow the construction a PCA-based Systemic Importance Index, a valuable tool for financial authorities’ policy and decision-making; and (iii the importance of the too-connected-to-fail criteria and the presence of non-banking firms among the most systemically important financial institutions in the Colombian case are confirmed. es-ES
dc.format application/pdf
dc.format text/html
dc.language spa
dc.publisher Facultad de Finanzas, Gobierno y Relaciones Internacionales es-ES
dc.relation https://revistas.uexternado.edu.co/index.php/odeon/article/view/3699/3829
dc.relation https://revistas.uexternado.edu.co/index.php/odeon/article/view/3699/4136
dc.source ODEON; Núm. 7 (2012) es-ES
dc.source 2346-2140
dc.source 1794-1113
dc.subject Systemic Importance es-ES
dc.subject Systemic Risk es-ES
dc.subject Principal Components Analysis es-ES
dc.subject Too-connected-to-fail es-ES
dc.subject Too-big-to-fail. es-ES
dc.title Systemic Importance Index for Financial Institutions: A Principal Component Analysis approach es-ES
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/publishedVersion


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