The aim of this paper is to identify the relationship between banks’ probability of default and their risk taking incentives. Exploring a large set of bank level financial data from 203 European banks during 2005–2013 we apply the cluster analysis. The results indicate a number of two very different groups inside the dataset within each year, either using the hierarchical trees or the k-means clustering algorithms. Also, the composition of the clusters remains unchanged during crisis years compared with the pre-crisis for the vast majority of the instances. Finally, when mapping the clusters to the distance to default computed through the z-score variable, we show that banks with large size and high liquidity risk enhance their default risk.
CITATION STYLE
Moldovan, D., & Mutu, S. (2015). A cluster analysis on the default determinants in the European banking sector. In Lecture Notes in Business Information Processing (Vol. 228, pp. 64–74). Springer Verlag. https://doi.org/10.1007/978-3-319-26762-3_7
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