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Issue title: Business Analytics in Finance and Industry January 6-8, 2014, Santiago, Chile
Guest editors: Cristián Bravo, Matt Davison, Alejandro Jofré, Sebastián Maldonado and Richard Weber
Article type: Research Article
Authors: Avanzini, Diego* | Jara, Alejandro
Affiliations: Central Bank of Chile, Santiago, Chile
Correspondence: [*] Corresponding author: Diego Avanzini, Central Bank of Chile, Agustinas 1180, Santiago, Chile. Tel.: +56 2 2670 2791; E-mail:davanzini@bcentral.cl
Abstract: In recent years, data reduction techniques have gained scene in applied economics. Following this trail, we apply and extend the use of a data reduction technique such as principal component analysis (PCA), to assess the degree of systemic risk in the Chilean banking system. In particular, we address the following questions: (i) to what extent the degree of common risk exposure in the banking system has changed over the past decades; (ii) during which periods this exposure increased the most; and (iii) based on predefined thresholds, when this commonality has become systemically relevant. Additionally, we identify systemically important financial institutions (SIFIs) based on their contribution to the degree of common risk exposure during periods of higher systemic risk. We find that prior to the 2008-09 global financial crisis the degree of common risk exposure in Chile increased significantly, and that the banks that contributed the most were not necessarily the biggest ones in size, as measured by their assets share.
Keywords: Common risk exposure, systemic risk, principal component analysis, financial stability, accounting data, SIFIs
DOI: 10.3233/IDA-150769
Journal: Intelligent Data Analysis, vol. 19, no. s1, pp. S45-S67, 2015
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