Financial Performance Analysis of European Banks Using a Fuzzified Self-Organizing Map

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Internal Authors/Editors


Publication Details

List of Authors: Sarlin Peter, Eklund Tomas
Publication year: 2011
Journal: Lecture Notes in Computer Science
Book title: Knowlege-Based and Intelligent Information and Engineering Systems
Journal acronym: LECT NOTES COMPUT SC
Title of series: Lecture Notes in Computer Science
Volume number: 6882
Start page: 186
End page: 195
Number of pages: 10


Abstract

Due to the recent wave of bank failures, stress tests have been conducted on banks within the European Union. The stress tests, however, only consider the adequacy of a bank's capital ratios, whereas the general financial performance of individual banks is disregarded. In this paper, we use the Self-Organizing Map (SOM) to perform a visual multidimensional and temporal financial performance analysis of European banks. We address several different problems concerning financial performance analysis. We deal with the problem of selecting suitable financial ratios by performing dimensionality reduction using PCA. We also deal with difficult data using outlier trimming and normalization techniques, and use the SOM for imputing missing values. We use a decision-framework for choosing the final model, based upon a set of map and clustering quality measures. Finally, we implement a second-level fuzzified Ward clustering for visualization purposes and for assessing the crispness of the solution. The result is a visual SOM model for financial performance analysis of European banks.


Keywords

European banks, financial performance analysis, fuzzified clustering, Self-organizing map

Last updated on 2019-21-11 at 03:21