# name
Too big to fail? An analysis of the Colombian banking system through compositional data [WP]

# metadata.dc.description.abstract[].value
Although still incipient in economics and finance, compositional data analysis (in which relative information is more important than absolute values) has become more relevant in statistical analysis in recent years. This article constructs a concentration index for financial/banking systems by means of compositional analysis, to establish the potential existence of too big to fail financial entities. The intention is to provide an early warning tool for regulators about this kind of institutions. The index has been applied to the Colombian banking system and assessed over time with a forecast to determine whether the system is becoming more concentrated or not. It was found that the concentration index has been decreasing in recent years and the model predicts that this trend will continue. In terms of the methodology used, compositional models were shown to be more stable and to lead to better prediction of the index than the classical multivariate methodologies.

# metadata.dc.publisher[].value
Universitat de Barcelona. Facultat d'Economia i Empresa

# metadata.dc.rights[].value
cc-by-nc-nd, (c) Vega Baquero et al., 2021

# metadata.dc.source[].value
Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))

# metadata.dc.title[].value
Too big to fail? An analysis of the Colombian banking system through compositional data [WP]