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Evaluating the financial performance of bank branches. (English) Zbl 1106.90352

Summary: We evaluate the financial performance of most of the branch offices of a large European savings bank for a recent accounting period. We employ a complementary pair of nonparametric techniques to evaluate their financial performance, in terms of their ability to conserve on the expenses they incur in building their customer bases and providing customer services. We find variation in the ability of branch offices to perform this task, and agreement on the identity of the laggard branches. We then employ parametric techniques to determine that the list of indicators on which their financial performance is evaluated can be reduced without statistically significant loss of information to bank management. Both findings suggest ways in which the bank can increase the profitability of its branch network.

MSC:

90B60 Marketing, advertising
Full Text: DOI

References:

[1] Athanassopoulos, A.D. and D. Giokas. (2000). ”The Use of Data Envelopment Analysis in Banking Institutions: Evidence from the Commercial Bank of Greece.” Interfaces 30(2) (March/April), 81–95.
[2] Athanassopoulos, A.D., A.C. Soteriou, and S.A. Zenios. (2000). ”Disentangling within- and Between-Country Efficiency Differences of Bank Branches.” In P. T. Harker and S. A. Zenios (eds.), Performance of Financial Institutions: Efficiency, Innovation, Regulation. Chapter 10, Cambridge University Press, New York.
[3] Bala, K. and W.D. Cook. (2003). ”Performance Measurement with Classification Information: An Enhanced Additive DEA Model.” Omega, 31, 439–450. · doi:10.1016/S0305-0483(03)00082-3
[4] Banker, R.D., A. Charnes, and W.W. Cooper. (1984). ”Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis.” Management Science, 30(9), 1078–1092. · Zbl 0552.90055 · doi:10.1287/mnsc.30.9.1078
[5] Bowlin, W.F., J. Brennan, A. Charnes, W.W. Cooper, and T. Sueyoshi. (1984). ”A Model for Measuring Amounts of Efficiency Dominance.” Research Report, Graduate School of Business, University of Texas, Austin, TX 78712, USA.
[6] Camanho, A.S. and R.G. Dyson. (1999). ”Efficiency, Size, Benchmarks and Targets for Bank Branches: An Application of Data Envelopment Analysis.” Journal of the Operational Research Society, 50(9), 903–915. · Zbl 1054.90558
[7] Charnes, A., W.W. Cooper, and E. Rhodes. (1978). ”Measuring the Efficiency of Decision Making Units.” European Journal of Operational Research, 2, 429–444. · doi:10.1016/0377-2217(78)90138-8
[8] Charnes, A., W.W. Cooper, and T. Sueyoshi. (1988). ”A Goal Programming/Constrained Regression Review of the Bell System Breakup.” Management Science, 34(1), 1–26. · doi:10.1287/mnsc.34.1.1
[9] Cook, W.D., M. Hababou, and H.J. Tuentner. (2000). ”Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Análisis: An Application to Sales and Service Performance in Bank Branches.” Journal of Productivity Análisis, 14(3), 209–224. · doi:10.1023/A:1026598803764
[10] Daraio, C. and L. Simar. (2003). ”Introducing Environmental Variables in Nonparametric Frontier Models: A Probabilistic Approach.” Discusión Paper 0313, Institut de Statistique, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.
[11] Dekker, D. and T. Post. (2001). ”A Quasi-Concave DEA Model with an Application for Bank Branch Performance Evaluation.” European Journal of Operational Research, 132, 296–311. · Zbl 0980.90037 · doi:10.1016/S0377-2217(00)00153-3
[12] Deprins, D., L. Simar, and H. Tulkens. (1984). ”Measuring Labor-Efficiency in Post Offices.” In M. Marchand, P. Pestieau and H. Tulkens (eds.), The Performance of Public Enterprises: Concepts and Measurement. North-Holland, Ámsterdam.
[13] Fried, H.O. and C.A.K. Lovell. (1994). ”Enhancing the Performance of Credit Unions: The Evolution of a Methodology.” Recherches Economiques do Louvain, 60(4), 431–447.
[14] Fried, H.O., C.A.K. Lovell, and P.V. Eeckaut. (1993). ”Evaluating the Performance of US Credit Unions.” Journal of Banking and Finance, 17(2–3), 251–265. · doi:10.1016/0378-4266(93)90031-8
[15] Golany, B. and J.E. Storbeck. (1999). ”A Data Envelopment Análisis of the Operational Efficiency of Bank Branches.” Interfaces, 29(3), 14–26. · doi:10.1287/inte.29.3.14
[16] Hartman, T.E., J.E. Storbeck, and P. Byrnes. (2001). ”Allocative Efficiency in Branch Banking.” European Journal of Operational Research, 134, 232–242. · Zbl 1017.91505 · doi:10.1016/S0377-2217(00)00257-5
[17] Jenkins, L. and M. Anderson. (2003). ”A Multivariate Statistical Approach to Reducing the Number of Variables in Data Envelopment Analysis.” European Journal of Operational Research, 147, 51–61. · Zbl 1011.90528 · doi:10.1016/S0377-2217(02)00243-6
[18] Kantor, J. and S. Maital. (1999). ”Measuring Efficiency by Product Group: Integrating DEA with Activity-Based Accounting in a Large Mideast Bank.” Interfaces, 29(3), 27–36. · doi:10.1287/inte.29.3.27
[19] Lovell, C.A.K. and J.T. Pastor. (1995). ”Units Invariant and Translation Invariant DEA Models.” Operations Research Letters, 18(3), 147–151. · Zbl 0855.90004 · doi:10.1016/0167-6377(95)00044-5
[20] Paradi, J.C. and C. Schaffnit. (2004). ”Commercial Branch Performance Evaluation and Results Communication in a Canadian Bank–A DEA Application.” European Journal of Operational Research, 156(3), 719–735. · Zbl 1107.90377 · doi:10.1016/S0377-2217(03)00108-5
[21] Pastor, J.T., J.L. Ruiz, and I. Sirvent. (2002). ”A Statistical Test for Nested Radial DEA Models.” Operations Research, 50(4), 728–735. · Zbl 1163.90563 · doi:10.1287/opre.50.4.728.2866
[22] Respaut, B. (1989). ”Mesures de l’Efficacité Productive Des 911 Agences d’une Banque Privée Belge.” Chapter 3, in H. Tulkens (ed.), Efficacite et Management. CIFOP, Charleroi, Belgium.
[23] Silva Portela, M.C.A., P.C. Borges, and E. Thanassoulis. (2003). ”Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies.” Journal of Productivity Analysis, 19(2/3), 251–269. · doi:10.1023/A:1022813702387
[24] Simar, L. and P.W. Wilson. (2001). ”Testing Restrictions in Nonparametric Efficiency Models.” Communications in Statistics, 30(1), 159–184. · Zbl 1008.62586
[25] Sirvent, I., J.L. Ruiz, F. Borras, and J.T. Pastor. (2001). ”A Monte Carlo Evaluation of Some Tests of Model Specification in DEA.” Trabajos I+D, #I-2001–13, Centro de Investigación Operativa, Universidad Miguel Hernández, Spain.
[26] Soteriou, A.C., C.V. Zenios, K. Agathocleous, and S.A. Zenios. (1999). ”Benchmarks of the Efficiency of Bank Branches.” Interfaces, 29(3), 37–51. · Zbl 1044.91576 · doi:10.1287/inte.29.3.37
[27] Soteriou, A.C. and S.A. Zenios. (1999a). ”Using Data Envelopment Analysis for Costing Bank Products.” European Journal of Operational Research, 114, 234–248. · Zbl 0935.90020 · doi:10.1016/S0377-2217(98)00253-7
[28] Soteriou, A. and S.A. Zenios. (1999b). ”Operations, Quality, and Profitability in the Provision of Banking Services.” Management Science, 45(9), 1221–1238. · doi:10.1287/mnsc.45.9.1221
[29] Tulkens, H. (1993). ”On FDH Analysis: Some Methodological Issues and Applications to Retail Banking, Courts and Urban Transit.” Journal of Productivity Analysis, 4(1), 183–210. · doi:10.1007/BF01073473
[30] Tulkens, H. and A. Malnero. (1996). ”Nonparametric Approaches to the Assessment of the Relative Efficiency of Bank Branches.” In D.G. Mayes (ed.), Sources of Productivity Growth. Chapter 10, Cambridge University Press, New York.
[31] Tulkens, H. and P. Vanden Eeckaut. (1995). ”Non-Parametric Efficiency, Progress and Regress Measures for Panel Data: Methodological Aspects.” European Journal of Operational Research, 80, 474–499. · Zbl 0928.91028 · doi:10.1016/0377-2217(94)00132-V
[32] Zenios, C.V., S.A. Zenios, K. Agathocleous, and A.C. Soteriou. (1999). ”Benchmarks of the Efficiency of Bank Branches.” Interfaces, 29, 37–51. · Zbl 1044.91576 · doi:10.1287/inte.29.3.37
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