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Efficiency Measurement in Deposit Banks Using Data Envelopment Analysis and Data Mining


  • Ibrahim Halil Seyrek
  • H. Ali Ata


In today’s world in which several countries face financial crises, banking industry has become very important for national economies in order to realize optimal resource use. Therefore, banking industry should operate productively and increase its efficiency. In this study, firstly, efficiency of deposit banks operating in Turkish banking industry are measured using data envelopment analysis (DEA). Then, using efficiency scores of banks, financial performance indicators which are important for predicting bank efficiency are determined using data mining techniques. As a result of the study, “Total Credits/Total Deposits” ratio and “Other Operating Costs/Total Operating Income” ratio are found to be important financial ratios in predicting bank efficiency.

Suggested Citation

  • Ibrahim Halil Seyrek & H. Ali Ata, 2010. "Efficiency Measurement in Deposit Banks Using Data Envelopment Analysis and Data Mining," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 4(2), pages 67-84.
  • Handle: RePEc:bdd:journl:v:4:y:2010:i:2:p:67-84

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    References listed on IDEAS

    1. David Jamieson Bolder & Tiago Rubin, 2007. "Optimization in a Simulation Setting: Use of Function Approximation in Debt Strategy Analysis," Staff Working Papers 07-13, Bank of Canada.
    2. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    3. Davis, E. Philip & Zhu, Haibin, 2009. "Commercial property prices and bank performance," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(4), pages 1341-1359, November.
    4. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency Crashes in Emerging Markets: Empirical Indicators," Center for International and Development Economics Research (CIDER) Working Papers 233424, University of California-Berkeley, Department of Economics.
    5. Andrew Berg & Catherine Pattillo, 1999. "Are Currency Crises Predictable? A Test," IMF Staff Papers, Palgrave Macmillan, vol. 46(2), pages 1-1.
    6. repec:nsr:niesrd:330 is not listed on IDEAS
    7. Matias Fontenla & Fidel Gonzalez, 2007. "Self-fulfilling and Fundamental Banking Crises: A Multinomial Logit Approach," Economics Bulletin, AccessEcon, vol. 6(17), pages 1-11.
    8. Bussiere, Matthieu & Fratzscher, Marcel, 2006. "Towards a new early warning system of financial crises," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 953-973, October.
    9. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    10. Corbett, Jenny & Mitchell, Janet, 2000. "Banking Crises and Bank Rescues: The Effect of Reputation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 474-512, August.
    11. De Bandt, Olivier & Hartmann, Philipp, 2000. "Systemic risk: A survey," Working Paper Series 0035, European Central Bank.
    12. Davis, E. Philip & Zhu, Haibin, 2011. "Bank lending and commercial property cycles: Some cross-country evidence," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 1-21, February.
    13. Engle, Robert F, 1983. "Estimates of the Variance of U.S. Inflation Based upon the ARCH Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 15(3), pages 286-301, August.
    14. Peter Sephton, 2001. "Forecasting recessions: can we do better on MARS?," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 39-49.
    15. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    16. Soosung Hwang & Pedro L. Valls Pereira, 2006. "Small sample properties of GARCH estimates and persistence," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 473-494.
    17. Demirguc-Kunt, Asli & Detragiache, Enrica, 2002. "Does deposit insurance increase banking system stability? An empirical investigation," Journal of Monetary Economics, Elsevier, vol. 49(7), pages 1373-1406, October.
    18. Jan P.A.M. Jacobs & Gerard H. Kuper & Lestano, 2004. "Currency crises in Asia: A multivariate logit approach," International Finance 0409005, EconWPA.
    19. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 14-23.
    20. Jacklin, Charles J & Bhattacharya, Sudipto, 1988. "Distinguishing Panics and Information-Based Bank Runs: Welfare and Policy Implications," Journal of Political Economy, University of Chicago Press, vol. 96(3), pages 568-592, June.
    21. Liliana Rojas-Suarez, 2001. "Rating Banks in Emerging Markets: What Credit Rating Agencies Should Learn from Financial Indicators," Working Paper Series WP01-6, Peterson Institute for International Economics.
    22. Chari, V V & Jagannathan, Ravi, 1988. " Banking Panics, Information, and Rational Expectations Equilibrium," Journal of Finance, American Finance Association, vol. 43(3), pages 749-761, July.
    23. Gorton, Gary, 1988. "Banking Panics and Business Cycles," Oxford Economic Papers, Oxford University Press, vol. 40(4), pages 751-781, December.
    24. Fabian Valencia & Luc Laeven, 2008. "Systemic Banking Crises; A New Database," IMF Working Papers 08/224, International Monetary Fund.
    25. P. Honohan, 2000. "Banking System Failures in Developing and Transition Countries: Diagnosis and Prediction," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 29(1), pages 83-109, February.
    26. Reinhart, Carmen & Goldstein, Morris & Kaminsky, Graciela, 2000. "Assessing financial vulnerability, an early warning system for emerging markets: Introduction," MPRA Paper 13629, University Library of Munich, Germany.
    27. Diebold, Francis X & Rudebusch, Glenn D, 1989. "Scoring the Leading Indicators," The Journal of Business, University of Chicago Press, vol. 62(3), pages 369-391, July.
    28. Daniel C. Hardy & Ceyla Pazarbasioglu, 1999. "Determinants and Leading Indicators of Banking Crises: Further Evidence," IMF Staff Papers, Palgrave Macmillan, vol. 46(3), pages 1-1.
    29. Silvia Sgherri & Bertrand Gruss, 2009. "The Volatility Costs of Procyclical Lending Standards; An Assessment Using a Dsge Model," IMF Working Papers 09/35, International Monetary Fund.
    30. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters,in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409 National Bureau of Economic Research, Inc.
    31. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    32. Kevin Dowd, 1999. "Does Asymmetric Information Justify Bank Capital Adequacy Regulation," Cato Journal, Cato Journal, Cato Institute, vol. 19(1), pages 39-47, Spring/Su.
    33. Julapa Jagtiani & James Kolari & Catharine Lemieux & G. Hwan Shin, 2003. "Early warning models for bank supervision: Simpler could be better," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III, pages 49-60.
    34. Davis, E. Philip & Karim, Dilruba, 2008. "Comparing early warning systems for banking crises," Journal of Financial Stability, Elsevier, vol. 4(2), pages 89-120, June.
    35. Paola Bongini & Stijn Claessens & Giovanni Ferri, 2001. "The Political Economy of Distress in East Asian Financial Institutions," Journal of Financial Services Research, Springer;Western Finance Association, vol. 19(1), pages 5-25, February.
    36. repec:ebl:ecbull:v:6:y:2007:i:17:p:1-11 is not listed on IDEAS
    37. Asli Demirgüç-Kunt & Enrica Detragiache, 1998. "The Determinants of Banking Crises in Developing and Developed Countries," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 81-109, March.
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    More about this item


    Bank Efficiency; Data Envelopment Analysis; Data Mining;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages


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