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The Stability of Efficiency Rankings when Risk-Preference are Different

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  • M. Koetter

Abstract

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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  • M. Koetter, 2004. "The Stability of Efficiency Rankings when Risk-Preference are Different," Working Papers 04-08, Utrecht School of Economics.
  • Handle: RePEc:use:tkiwps:0408
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    Cited by:

    1. Loretta J. Mester, 2005. "Optimal industrial structure in banking," Working Papers 08-2, Federal Reserve Bank of Philadelphia.
    2. Jacob A. Bikker & Jaap W.B. Bos, 2005. "Trends in Competition and Profitability in the Banking Industry: A Basic Framework," SUERF Studies, SUERF - The European Money and Finance Forum, number 2005/2 edited by Morten Balling, April.
    3. Li-Gang Liu & Changchun Hua, 2010. "Risk-return Efficiency, Financial Distress Risk, and Bank Financial Strength Ratings," Working Papers id:2944, eSocialSciences.
    4. Changchun Hua & Li-Gang Liu, 2010. "Risk-return Efficiency, Financial Distress Risk, and Bank Financial Strength Ratings," Finance Working Papers 22756, East Asian Bureau of Economic Research.

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