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Efficiency and shareholder return in banking


  • Franco Fiordelisi


This paper analyses the relationship between efficiency and shareholder return (using an Economic Value-Added or EVA measure) in the French, German, Italian and UK banking systems over the period of 1999–2002. Various hypotheses regarding the relationship between bank efficiency and shareholder value are tested. We find that profit efficiency better explains the variations in shareholder value than cost efficiency. Stochastic Frontier (SF) cost efficiency estimates also better explain the variations in shareholder value creation than those derived from nonparametric Data Development Analysis (DEA) estimates. While cost and profit efficiency are found to be positively related to shareholder value, the bank ownership differences across countries are found to be much more important in explaining shareholder value than bank efficiency (however measured).

Suggested Citation

  • Franco Fiordelisi, 2008. "Efficiency and shareholder return in banking," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 1(2), pages 114-132.
  • Handle: RePEc:ids:injbaf:v:1:y:2008:i:2:p:114-132

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    References listed on IDEAS

    1. Fama, Eugene F & French, Kenneth R, 1992. " The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Sharpe, William F., 1967. "Portfolio Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 2(02), pages 76-84, June.
    3. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
    4. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 38(2), pages 112-134.
    5. Schich, Sebastian T., 1997. "Schätzung der deutschen Zinsstrukturkurve," Discussion Paper Series 1: Economic Studies 1997,04, Deutsche Bundesbank.
    6. James M. O'Brien, 2000. "Estimating the value and interest rate risk of interest-bearing transactions deposits," Finance and Economics Discussion Series 2000-53, Board of Governors of the Federal Reserve System (U.S.).
    7. Jan Willem van den End & Marco Hoeberichts & Mostafa Tabbae, 2006. "Modelling Scenario Analysis and Macro Stress-testing," DNB Working Papers 119, Netherlands Central Bank, Research Department.
    8. Wilkens, Marco & Memmel, Christoph & Entrop, Oliver & Zeisler, Alexander, 2008. "Analyzing the interest rate risk of banks using time series of accounting-based data: evidence from Germany," Discussion Paper Series 2: Banking and Financial Studies 2008,01, Deutsche Bundesbank.
    9. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
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    Cited by:

    1. 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.


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