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Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey

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  • Fethi, Meryem Duygun
  • Pasiouras, Fotios

Abstract

This paper presents a comprehensive review of 196 studies which employ operational research (O.R.) and artificial intelligence (A.I.) techniques in the assessment of bank performance. Several key issues in the literature are highlighted. The paper also points to a number of directions for future research. We first discuss numerous applications of data envelopment analysis which is the most widely applied O.R. technique in the field. Then we discuss applications of other techniques such as neural networks, support vector machines, and multicriteria decision aid that have also been used in recent years, in bank failure prediction studies and the assessment of bank creditworthiness and underperformance.

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Bibliographic Info

Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 204 (2010)
Issue (Month): 2 (July)
Pages: 189-198

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Handle: RePEc:eee:ejores:v:204:y:2010:i:2:p:189-198

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Keywords: Artificial intelligence Banks Data envelopment analysis Efficiency Operational research Literature review;

References

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