A classification method for banks' profitability using revised Thompson‐Thrall profit ratios in DEA and cluster analysis with an application to South Asian banks

A classification method for banks' profitability using revised Thompson‐Thrall profit ratios in DEA and cluster analysis with an application to South Asian banks

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Article ID: iaor20125293
Volume: 15
Issue: 2
Start Page Number: 147
End Page Number: 169
Publication Date: Aug 2012
Journal: International Journal of Operational Research
Authors: ,
Keywords: statistics: data envelopment analysis
Abstract:

Many researchers in the past have addressed the issue of profitability of banks from different perspectives using financial ratios and decision models. Thompson et al. (1995) addressed this issue by introducing linked‐cone (LC) profit ratios with assurance regions (AR) in data envelopment analysis. In this paper, we propose a method to revise LC‐AR and show a contrast between Thompson‐Thrall's and revised profit ratios. In an application of revised profit ratios to a set of South Asian banks, we classify them as profit‐makers, loss‐makers or neither. Then, analysing the banks' profitability using cluster analysis with financial ratios and revised profit ratios, we show how to strengthen the classification.

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