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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.

Suggested Citation

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

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