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Identification of Failing Banks Using Clustering with Self-Organising Neural Networks

Authors:
Michael Negnevitsky

Keywords: Keywords-cluster analysis, self-organising neural network; Kohonen layer; likelihood of bank failure

Abstract:
This paper presents experimental results of cluster analysis using self-organising neural networks for identifying failing banks. The paper first describes major reasons and likelihoods of bank failures. Then it demonstrates an application of a self-organising neural network and presents results of the study. Findings of the paper demonstrate that a self-organising neural network is a powerful tool for identifying potentially failing banks. Finally, the paper discusses some of the limitations of cluster analysis related to understanding of the exact meaning of each cluster.

Pages: 18 to 22

Copyright: Copyright (c) IARIA, 2013

Publication date: April 21, 2013

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-269-1

Location: Venice, Italy

Dates: from April 21, 2013 to April 26, 2013