Classification of profitability using DEA and cluster analysis: a transnational comparison of South Asian banks

Parakramaweera Sunil Dharmapala and Piyadasa Edirisuriya

International Journal of Information and Decision Sciences, 2015, vol. 7, issue 3, 213-240

Abstract: We propose a method to classify banks as profit-makers, loss-makers or neither by randomising Thompson-Thrall's linked-cone (LC) profit ratios with assurance-regions (AR) in data envelopment analysis (DEA). Thompson et al. (1995) addressed 'profitability' of banks with the introduction of LC-AR profit ratios. We randomise LC-AR and show that randomised profit ratios uncover more profit-makers than Thompson-Thrall's profit ratios. In an application to banks from four South Asian nations, we demonstrate how to do this classification. Then, using cluster analysis with financial ratios and randomised profit ratios, we strengthen the classification of profit-makers and do a comparative study across nations.

Keywords: data envelopment analysis; DEA; assurance regions; linked cones; profit ratios; banking; cluster analysis; bank profitability; transnational comparison; South Asian banks; financial ratios. (search for similar items in EconPapers)
Date: 2015
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