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The Stability of Efficiency Rankings when Risk-Preference are Different

  • M. Koetter

In this paper we analyse bank efficiency in Germany for four cross-sections of data during the period 1995-2001. Under the assumption of cost minimisation we obtain firm-specific efficiency estimates using stochastic frontier analysis. To explicitly allow for different risk preferences when measuring efficiency we then develop a model based on utility maximisation. Using the almost ideal demand system, input- and profit demand functions are estimated and risk-preferences recovered. Efficiency is then measured in the risk-return space. Efficiency scores improve substantially and the dispersion of performance across sectors and size classes vanishes. Rank-order correlation between the two measures is low or insignificant. This suggests that best-practice institutes should not be identified only on the basis of cost efficiency. However, in terms of magnitude risk-return efficiency seems to be of less importance than cost efficiency.

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Paper provided by Utrecht School of Economics in its series Working Papers with number 04-08.

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Date of creation: 2004
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Handle: RePEc:use:tkiwps:0408
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  1. William Lang & Choon-Geol Moon & Loretta Mester & Joseph Hughes & Michael Pagano, 2001. "Do Bankers Sacrifice Value to Build Empires? Managerial Incentives, Industry Consolidation, and Financial Performance," Departmental Working Papers 200117, Rutgers University, Department of Economics.
  2. Pashardes, Panos, 1993. "Bias in Estimating the Almost Ideal Demand System with the Stone Index Approximation," Economic Journal, Royal Economic Society, vol. 103(419), pages 908-15, July.
  3. Joseph P. Hughes & Loretta J. Mester, 1997. "Bank capitalization and cost: evidence of scale economies in risk management and signaling," Working Papers 96-2, Federal Reserve Bank of Philadelphia.
  4. Lang, Gunter & Welzel, Peter, 1999. "Mergers among German Cooperative Banks: A Panel-Based Stochastic Frontier Analysis," Small Business Economics, Springer, vol. 13(4), pages 273-86, December.
  5. Lang, Gunter & Welzel, Peter, 1996. "Efficiency and technical progress in banking Empirical results for a panel of German cooperative banks," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1003-1023, July.
  6. Joseph P. Hughes & Loretta J. Mester, 1991. "A quality and risk-adjusted cost function for banks: evidence on the " too-big-to-fail" doctrine," Working Papers 91-21, Federal Reserve Bank of Philadelphia.
  7. Steven A. Zimmer & Robert N. McCauley, 1990. "Bank cost of capital and international competition," Quarterly Review, Federal Reserve Bank of New York, issue Win, pages 33-59.
  8. Joseph P. Hughes & William W. Lang & Loretta J. Mester & Choon-Geol Moon, 1997. "Recovering risky technologies using the almost ideal demand system: an application to U.S. banking," Working Papers 97-8, Federal Reserve Bank of Philadelphia.
  9. Evanoff, Douglas D. & Wall, Larry D., 2002. "Measures of the riskiness of banking organizations: Subordinated debt yields, risk-based capital, and examination ratings," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 989-1009, May.
  10. Maudos, Joaquin & Pastor, Jose M. & Perez, Francisco & Quesada, Javier, 2002. "Cost and profit efficiency in European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(1), pages 33-58, February.
  11. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
  12. Ferdaus Hossain & Helen H. Jensen, 2000. "Lithuania's Food Demand During Economic Transition," Center for Agricultural and Rural Development (CARD) Publications 00-wp236, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  13. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December.
  14. Erik Lehmann & Neuberger, Doris, 2000. "Do Lending Relationships Matter? Evidence from Bank Survey Data in Germany," CoFE Discussion Paper 00-04, Center of Finance and Econometrics, University of Konstanz.
  15. Douglas W. Diamond & Raghuram G. Rajan, 2000. "A Theory of Bank Capital," Journal of Finance, American Finance Association, vol. 55(6), pages 2431-2465, December.
  16. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  17. Agarwal, Rajshree & Ann Elston, Julie, 2001. "Bank-firm relationships, financing and firm performance in Germany," Economics Letters, Elsevier, vol. 72(2), pages 225-232, August.
  18. Rochet, Jean-Charles, 1992. "Capital requirements and the behaviour of commercial banks," European Economic Review, Elsevier, vol. 36(5), pages 1137-1170, June.
  19. Altunbas, Yener & Evans, Lynne & Molyneux, Philip, 2001. "Bank Ownership and Efficiency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(4), pages 926-54, November.
  20. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
  21. Allen N. Berger & Loretta J. Mester, 1997. "Inside the black box: what explains differences in the efficiencies of financial institutions?," Working Papers 97-1, Federal Reserve Bank of Philadelphia.
  22. Brox, James A., 2003. "The impact of free trade with the United States on the pattern of Canadian consumer spending and savings," The North American Journal of Economics and Finance, Elsevier, vol. 14(1), pages 69-87, March.
  23. Ieda, Akira & Ohba, Toshikazu, 1999. "Risk Management for Equity Portfolios of Japanese Banks," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 17(2), pages 91-117, August.
  24. Cavallo, Laura & Rossi, Stefania P. S., 2001. "Scale and scope economies in the European banking systems," Journal of Multinational Financial Management, Elsevier, vol. 11(4-5), pages 515-531, December.
  25. Paul W. Bauer & Allen N. Berger & Gary D. Ferrier & David B. Humphrey, 1997. "Consistency conditions for regulatory analysis of financial institutions: a comparison of frontier efficiency methods," Financial Services working paper 97-02, Federal Reserve Bank of Cleveland.
  26. Mayer, Colin, 1987. "New Issues in Corporate Finance," CEPR Discussion Papers 181, C.E.P.R. Discussion Papers.
  27. Hans-Werner Sinn, 1999. "The German State Banks," Books, Edward Elgar Publishing, number 1692.
  28. Clark, Jeffrey A & Siems, Thomas F, 2002. "X-Efficiency in Banking: Looking beyond the Balance Sheet," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(4), pages 987-1013, November.
  29. Altunbas, Y. & Gardener, E. P. M. & Molyneux, P. & Moore, B., 2001. "Efficiency in European banking," European Economic Review, Elsevier, vol. 45(10), pages 1931-1955, December.
  30. Jagtiani, Julapa & Nathan, Alli & Sick, Gordon, 1995. "Scale economies and cost complementarities in commercial banks: On-and off-balance-sheet activities," Journal of Banking & Finance, Elsevier, vol. 19(7), pages 1175-1189, October.
  31. Günter Lang & Peter Welzel, 1998. "Technology and Cost Efficiency in Universal Banking A “Thick Frontier”-Analysis of the German Banking Industry," Journal of Productivity Analysis, Springer, vol. 10(1), pages 63-84, July.
  32. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
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