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Profit and cost efficiency in the Italian banking industry (2006-2011)

  • Aiello, Francesco
  • Bonanno, Graziella

This study evaluates the cost and the profit efficiency of Italian banking sector over the period 2006-2011. Translog stochastic frontiers are used for this purpose. Following the intermediation approach, efficiency scores are computed from estimating a model with three inputs and three outputs. Results indicate that Italian banks perform well, given that the average levels of cost and profit efficiency are both around 90% and they are quite stable over time. However, there is high heterogeneity in results. Differences have been found when banks are classified by size (efficiency tends to decrease with size), legal type (cooperatives perform better than others) and area (the best performers are in the North East of the country).

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File URL: http://mpra.ub.uni-muenchen.de/48940/1/MPRA_paper_48940.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 48940.

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Date of creation: 08 Aug 2013
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Handle: RePEc:pra:mprapa:48940
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  1. Allen N. Berger & Robert DeYoung, 1995. "Problem Loans and Cost Efficiency in Commercial Banks," Center for Financial Institutions Working Papers 96-01, Wharton School Center for Financial Institutions, University of Pennsylvania.
  2. Paul Wachtel & John Bonin & Iftekhar Hasan, 2004. "Privatization Matters: Bank Efficiency in Transition Countries," Working Papers 04-06, New York University, Leonard N. Stern School of Business, Department of Economics.
  3. Fitzpatrick, Trevor & McQuinn, Kieran, 2005. "Measuring Bank Profit Efficiency," Research Technical Papers 3/RT/05, Central Bank of Ireland.
  4. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
  5. Hunter, William C & Timme, Stephen G, 1995. "Core Deposits and Physical Capital: A Reexamination of Bank Scale Economies and Efficiency with Quasi-Fixed Inputs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(1), pages 165-85, February.
  6. Bos, Jaap W. B. & Heid, Frank & Koetter, Michael & Kolari, James W. & Kool, Clemens J. M., 2005. "Inefficient or just different? Effects of heterogeneity on bank efficiency scores," Discussion Paper Series 2: Banking and Financial Studies 2005,15, Deutsche Bundesbank, Research Centre.
  7. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-66, September.
  8. Francisco Pérez García & Javier Quesada Ibañez & Joaquín Maudos Villarroya & José Manuel Pastor Monsálvez, 1999. "- Cost And Profit Efficiency In European Banks," Working Papers. Serie EC 1999-12, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  9. Wang, Hung-jen & Schmidt, Peter, 2001. "One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels," MPRA Paper 31075, University Library of Munich, Germany, revised Mar 2002.
  10. Cristian Barra & Sergio Destefanis & Giuseppe Lubrano Lavadera, 2011. "Risk and Regulation: The Efficiency of Italian Cooperative Banks," CSEF Working Papers 290, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
  11. Fiordelisi, Franco & Marques-Ibanez, David & Molyneux, Phil, 2011. "Efficiency and risk in European banking," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1315-1326, May.
  12. Francesca Battaglia & Vincenzo Farina & Franco Fiordelisi & Ornella Ricci, 2010. "The efficiency of cooperative banks: the impact of environmental economic conditions," Applied Financial Economics, Taylor & Francis Journals, vol. 20(17), pages 1363-1376.
  13. Paola Dongili & Angelo Zago, 2005. "Bad loans and efficiency in Italian Banks," Working Papers 28, University of Verona, Department of Economics.
  14. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
  15. repec:dgr:uvatin:20010088 is not listed on IDEAS
  16. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
  17. Claudia Girardone & Philip Molyneux & Edward Gardener, 2004. "Analysing the determinants of bank efficiency: the case of Italian banks," Applied Economics, Taylor & Francis Journals, vol. 36(3), pages 215-227.
  18. Allen N. Berger & Loretta J. Mester, 1997. "Inside the Black Box: What Explains Differences in the Efficiencies of Financial Institutions?," Center for Financial Institutions Working Papers 97-04, Wharton School Center for Financial Institutions, University of Pennsylvania.
  19. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
  20. Williams, Jonathan, 2004. "Determining management behaviour in European banking," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2427-2460, October.
  21. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-48, September.
  22. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
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