Assessing Bank Efficiency and Performance with Operational Research and Artificial Intelligence Techniques: A Survey
European Journal of Operational Research, 2010, 204 (2), 189-198 (Revised Version)
66 Pages Posted: 28 Feb 2009 Last revised: 28 Sep 2012
Date Written: February 27, 2009
This paper presents a comprehensive review of 179 studies which employ operational research (O.R.) and Artificial Intelligence (A.I.) techniques in the assessment of bank performance. 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.
Keywords: Artificial Intelligence, Banks, Data Envelopment Analysis, Operational Research, Literature review
JEL Classification: G21, C44
Suggested Citation: Suggested Citation