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

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 substitut...

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Autores:
León, Carlos
Murcia, Andrés
Tipo de recurso:
Article of journal
Fecha de publicación:
2012
Institución:
Universidad Externado de Colombia
Repositorio:
Biblioteca Digital Universidad Externado de Colombia
Idioma:
spa
OAI Identifier:
oai:bdigital.uexternado.edu.co:001/7450
Acceso en línea:
https://bdigital.uexternado.edu.co/handle/001/7450
https://revistas.uexternado.edu.co/index.php/odeon/article/view/3699
Palabra clave:
Systemic Importance
Systemic Risk
Principal Components Analysis
Too-connected-to-fail
Too-big-to-fail.
Rights
openAccess
License
http://purl.org/coar/access_right/c_abf2
Description
Summary: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.