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Factors Influencing the Efficiency of the Russian Banks Performance

Author

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  • Golovan, Sergei

    (New Economic School, CEFIR, Russia)

Abstract

The work gives the patterns of efficiency of the Russian banks performance using the models of stochastic production function. The efficiency of the banks operations is assessed by considering the following two factors: loan offerings and deposits attraction. The efficiency distribution analysis shows that the biggest share on the loan offering and deposit banking services market is occupied by the banks with average efficiency. It confirms the results obtained earlier by Caner and Kontorovich (2004). It is shown that from the second quarter of 2003 to the third quarter of 2004 the average banking system efficiency level rose both in terms of loan-offering and deposit attraction levels. Besides, the author analyzes the factors influencing the Russian banks operational efficiency. The work also identifies the level of stability of the calculated efficiency coefficients

Suggested Citation

  • 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.
    • Handle: RePEc:ris:apltrx:0057
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    References listed on IDEAS

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    1. Styrin Konstantin, 2005. "What Explains Differences in Efficiency Across Russian Banks?," EERC Working Paper Series 01-258e-1, EERC Research Network, Russia and CIS.
    2. Hasan, Iftekhar & Marton, Katherin, 2003. "Development and efficiency of the banking sector in a transitional economy: Hungarian experience," Journal of Banking & Finance, Elsevier, vol. 27(12), pages 2249-2271, December.
    3. Akhigbe, Aigbe & McNulty, James E., 2003. "The profit efficiency of small US commercial banks," Journal of Banking & Finance, Elsevier, vol. 27(2), pages 307-325, February.
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    5. Williams, Jonathan & Nguyen, Nghia, 2005. "Financial liberalisation, crisis, and restructuring: A comparative study of bank performance and bank governance in South East Asia," Journal of Banking & Finance, Elsevier, vol. 29(8-9), pages 2119-2154, August.
    6. Casu, Barbara & Girardone, Claudia & Molyneux, Philip, 2004. "Productivity change in European banking: A comparison of parametric and non-parametric approaches," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2521-2540, October.
    7. Broek, Julien van den & Forsund, Finn R. & Hjalmarsson, Lennart & Meeusen, Wim, 1980. "On the estimation of deterministic and stochastic frontier production functions : A comparison," Journal of Econometrics, Elsevier, vol. 13(1), pages 117-138, May.
    8. 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.
    9. 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.
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    Citations

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    Cited by:

    1. Peresetsky, Anatoly, 2010. "Bank cost efficiency in Kazakhstan and Russia," BOFIT Discussion Papers 1/2010, Bank of Finland, Institute for Economies in Transition.
    2. 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.
    3. Головань С.В. & Карминский А.М. & Пересецкий А.А., 2008. "Эффективность Российских Банков С Точки Зрения Минимизации Издержек С Учетом Факторов Риска," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 44(4), октябрь.
    4. Mikhail Mamonov & Andrei Vernikov, 2015. "Bank Ownership And Cost Efficiency In Russia, Revisited," HSE Working papers WP BRP 46/FE/2015, National Research University Higher School of Economics.
    5. Mamonov, Mikhail, 2012. "The impact of market power of Russian banks on their credit risk tolerance: A panel study," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 85-112.
    6. repec:zbw:bofitp:2015_022 is not listed on IDEAS
    7. Nikolskiy, Ilya & Furmanov, Kirill, 2023. "Assessing the accuracy of efficiency rankings obtained from a stochastic frontier model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 128-142.
    8. 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.
    9. 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.
    10. Головань С.В. & Назин В.В. & Пересецкий А.А., 2010. "Непараметрические Оценки Эффективности Российских Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 46(3), июль.
    11. Vernikov, Andrei & Mamonov, Mikhail, 2018. "Modelling technical efficiency of firms under one-step and two-step approaches (the case of commercial banks)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 67-90.
    12. Mamonov, Mikhail & Vernikov, Andrei, 2015. "Bank ownership and cost efficiency in Russia, revisited," BOFIT Discussion Papers 22/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    13. repec:zbw:bofitp:2010_001 is not listed on IDEAS

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    More about this item

    Keywords

    efficiency; Russian banks; bank performance;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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