IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/56037.html
   My bibliography  Save this paper

Непараметрические Оценки Эффективности Российских Банков
[Nonparametric estimates of Russian banks efficiency]

Author

Listed:
  • Golovan, Sergei
  • Nazin, Vladimir
  • Peresetsky, Anatoly

Abstract

Non-parametric estimates of technical efficiency of Russian banks are considered for each quarter in the period of 2002–2006. Two types of DEA estimates CCR (Charnes, Cooper, Rhodes, 1978) and BCC (Banker, Charnes, Cooper, 1984), are compared with parametric SFA estimates. Semiparametric bootstrap (Simar, Wilson, 2007) is used to study statistical properties of DEA estimates. Spearman rank correlation between CCR and BCA estimates vary from 0.72 to 0.89 and between DEA and SFA from 0.56 to 0.91, hence estimates are robust. Foreign banks are more efficient than domestic banks in all quarters with the only exception of 2004Q2, which could be explained by so-called “crisis of confidence” (bank crisis in Russia in that period). Since 2006 Moscow banks are less efficient than the regional banks.

Suggested Citation

  • Golovan, Sergei & Nazin, Vladimir & Peresetsky, Anatoly, 2010. "Непараметрические Оценки Эффективности Российских Банков [Nonparametric estimates of Russian banks efficiency]," MPRA Paper 56037, University Library of Munich, Germany, revised 2010.
    • Handle: RePEc:pra:mprapa:56037
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/56037/1/MPRA_paper_56037.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. repec:zbw:bofitp:2008_003 is not listed on IDEAS
    3. Styrin Konstantin, 2005. "What Explains Differences in Efficiency Across Russian Banks?," EERC Working Paper Series 01-258e-1, EERC Research Network, Russia and CIS.
    4. Mamatzakis, Emmanuel & Staikouras, Christos & Koutsomanoli-Filippaki, Anastasia, 2008. "Bank efficiency in the new European Union member states: Is there convergence?," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1156-1172, December.
    5. Karas, Alexei & Schoors, Koen & Weill, Laurent, 2008. "Are private banks more efficient than public banks? Evidence from Russia," BOFIT Discussion Papers 3/2008, Bank of Finland Institute for Emerging Economies (BOFIT).
    6. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2009. "Bank modelling methodologies: A comparative non-parametric analysis of efficiency in the Japanese banking sector," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 1-15, February.
    7. Koetter, Michael & Karmann, Alexander & Fiorentino, Elisabetta, 2006. "The cost efficiency of German banks: a comparison of SFA and DEA," Discussion Paper Series 2: Banking and Financial Studies 2006,10, Deutsche Bundesbank.
    8. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    9. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    10. Charnes, A. & Cooper, W. W. & Huang, Z. M. & Sun, D. B., 1990. "Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 73-91.
    11. Bonin, John P. & Hasan, Iftekhar & Wachtel, Paul, 2005. "Privatization matters: Bank efficiency in transition countries," Journal of Banking & Finance, Elsevier, vol. 29(8-9), pages 2155-2178, August.
    12. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    13. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    14. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    15. Robert A. Eisenbeis & Gary D. Ferrier & Simon H. Kwan, 1999. "The informativeness of stochastic frontier and programming frontier efficiency scores: Cost efficiency and other measures of bank holding company performance," FRB Atlanta Working Paper 99-23, Federal Reserve Bank of Atlanta.
    16. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    17. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    18. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2006. "The impact of macroeconomic and regulatory factors on bank efficiency: A non-parametric analysis of Hong Kong's banking system," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1443-1466, May.
    19. Staikouras, Christos & Mamatzakis, Emmanuel & Koutsomanoli-Filippaki, Anastasia, 2008. "Cost efficiency of the banking industry in the South Eastern European region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 483-497, December.
    20. Bonin, John P. & Hasan, Iftekhar & Wachtel, Paul, 2005. "Bank performance, efficiency and ownership in transition countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 31-53, January.
    21. Lensink, Robert & Meesters, Aljar & Naaborg, Ilko, 2008. "Bank efficiency and foreign ownership: Do good institutions matter?," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 834-844, May.
    22. Caner S. & Kontorovich V., 2004. "Efficiency of the banking sector in the Russian Federation with international comparison," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 8(3), pages 357-375.
    23. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    24. Golovan, Sergei, 2006. "Factors Influencing the Efficiency of the Russian Banks Performance," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 2(2), pages 3-17.
    25. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    26. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    27. Pavlyuk, Dmitry, 2006. "Efficiency model of Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 3(3), pages 3-8.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. O. Borzykh., 2017. "The impact of banks’ capital adequacy ratio on bank lending channel of monetary transmission in Russia," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 7.
    2. Борзых Ольга Алексеевна, 2016. "«Антиэффект» Ликвидности В Российской Банковской Системе," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(3), pages 377-414.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nazin, Vladimir, 2010. "Nonparametric estimates of technical efficiency of Russian banks and crisis impact," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 20(4), pages 28-52.
    2. repec:zbw:bofitp:2010_001 is not listed on IDEAS
    3. Peresetsky, Anatoly, 2010. "Bank cost efficiency in Kazakhstan and Russia," BOFIT Discussion Papers 1/2010, Bank of Finland, Institute for Economies in Transition.
    4. Subal Kumbhakar & Anatoly Peresetsky, 2013. "Cost efficiency of Kazakhstan and Russian banks: results from competing panel data models-super-1," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 6(1), pages 88-113, March.
    5. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    6. Peresetsky, Anatoly, 2010. "Bank cost efficiency in Kazakhstan and Russia," BOFIT Discussion Papers 1/2010, Bank of Finland Institute for Emerging Economies (BOFIT).
    7. Belousova, Veronika & Karminsky, Alexander & Kozyr, Ilya, 2018. "The macroeconomic and institutional determinants of the profit efficiency frontier for Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 91-114.
    8. Белоусова В. Ю., 2009. "Эффективность Издержек Однородных Российских Коммерческих Банков: Обзор Проблемы И Новые Результаты," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 13(4), pages 489-519.
    9. Omneya Abdelsalam & Sabur Mollah & Emili Tortosa-Ausina, 2018. "Political connection and bank in(efficiency)," Working Papers 2018-11, Swansea University, School of Management.
    10. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2018. "Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1016-1025.
    11. Asma Mghaieth & Imen Khanchel El Mehdi, 2014. "The determinants of cost/profit efficiency of Islamic banks before, during and after the crisis of 2007," Working Papers 2014-107, Department of Research, Ipag Business School.
    12. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.
    13. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.
    14. Andries, Alin Marius & Cocris, Vasile, 2010. "A Comparative Analysis of the Efficiency of Romanian Banks," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 54-75, December.
    15. Benjamin Miranda Tabak & Daniel Oliveira Cajueiro & Marina V. B. Dias, 2014. "The Efficiency of Chinese Local Banks: A comparison of DEA and SFA," Working Papers Series 346, Central Bank of Brazil, Research Department.
    16. repec:zbw:bofitp:2018_005 is not listed on IDEAS
    17. Jiang, Chunxia & Yao, Shujie & Zhang, Zongyi, 2009. "The effects of governance changes on bank efficiency in China: A stochastic distance function approach," China Economic Review, Elsevier, vol. 20(4), pages 717-731, December.
    18. Marko Košak & Peter Zajc & Jelena Zorić, 2009. "Bank efficiency differences in the new EU member states," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 9(2), pages 67-90, December.
    19. Nurboja, Bashkim & Košak, Marko, 2017. "Banking efficiency in South East Europe: Evidence for financial crises and the gap between new EU members and candidate countries," Economic Systems, Elsevier, vol. 41(1), pages 122-138.
    20. Hela Kallel & Salah Ben Hamad & Mohamed Triki, 2019. "Modeling the efficiency of Tunisian and Moroccan banks using the SFA approach," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 68(5), pages 879-902, March.
    21. Roland Banya & Nicholas Biekpe, 2018. "Banking efficiency and its determinants in selected frontier african markets," Economic Change and Restructuring, Springer, vol. 51(1), pages 69-95, February.
    22. Stewart, Chris & Matousek, Roman & Nguyen, Thao Ngoc, 2016. "Efficiency in the Vietnamese banking system: A DEA double bootstrap approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 96-111.

    More about this item

    Keywords

    Russian banking system; regional banks; net assets; bank competition; bank regulation; IAS; bank balance sheets;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:56037. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.