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Detecting abnormal credit union performance

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  • Bauer, Keldon

Abstract

Credit unions are an important financial intermediary, but little credit union research is done. A primary reason for the lack of research is the cooperative nature of the industry, making traditional methods of detecting abnormal performance inappropriate. This paper proposes two methods of detecting abnormal performance, one parametric, the other non-parametric. Instead of testing the efficiency of the institution, this paper proposes testing the return vector, as indicated in the theoretical objective function of the member. Simulations demonstrate that both methods are correctly specified and powerful.

Suggested Citation

  • Bauer, Keldon, 2008. "Detecting abnormal credit union performance," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 573-586, April.
  • Handle: RePEc:eee:jbfina:v:32:y:2008:i:4:p:573-586
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    References listed on IDEAS

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    Cited by:

    1. Bauer, Keldon J. & Miles, Linda L. & Nishikawa, Takeshi, 2009. "The effect of mergers on credit union performance," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2267-2274, December.
    2. Abdelaati Daouia & Léopold Simar & Paul W. Wilson, 2017. "Measuring firm performance using nonparametric quantile-type distances," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 156-181, March.
    3. R. Raymond Sant & Stephen B. Carter, 2015. "Acquired Credit Unions: Drivers of Takeover," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(8), pages 18-33, August.
    4. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    5. Brown, Christine & Davis, Kevin, 2009. "Capital management in mutual financial institutions," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 443-455, March.
    6. David C. Wheelock & Paul W. Wilson, 2011. "Are Credit Unions Too Small?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1343-1359, November.
    7. Donal G. MCKILLOP & Barry QUINN, 2015. "Web Adoption By Irish Credit Unions: Performance Implications," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 86(3), pages 421-443, September.
    8. Kazumine Kondo, 2017. "Do credit associations compete with each other in Japanese regional lending markets?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(1), pages 195-210, January.
    9. Gregory McKee & Albert Kagan, 2016. "Determinants of recent structural change for small asset U.S. credit unions," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 775-795, October.
    10. repec:eee:finsta:v:30:y:2017:i:c:p:92-110 is not listed on IDEAS
    11. Kondo, Kazumine, 2014. "Do Credit Associations Compete with Each Other in Japanese Regional Lending Markets?," MPRA Paper 56669, University Library of Munich, Germany.
    12. Wheelock, David C. & Wilson, Paul W., 2013. "The evolution of cost-productivity and efficiency among US credit unions," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 75-88.
    13. Malikov, Emir & Restrepo-Tobon, Diego A & Kumbhakar, Subal C., 2016. "Heterogeneous Credit Union Production Technologies with Endogenous Switching and Correlated Effects," MPRA Paper 71593, University Library of Munich, Germany.
    14. David C. Wheelock & Paul W. Wilson, 2009. "Robust, dynamic nonparametric benchmarking: the evolution of cost-productivity and efficiency among U.S. credit unions," Working Papers 2009-008, Federal Reserve Bank of St. Louis.
    15. repec:spr:jecfin:v:41:y:2017:i:4:d:10.1007_s12197-016-9376-4 is not listed on IDEAS

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