Golovan, Sergei and Nazin, Vladimir and Peresetsky, Anatoly (2010): Непараметрические оценки эффективности российских банков. Published in: Экономика и математические методы , Vol. 46, No. 3 (2010): pp. 43-57.
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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.
Item Type: | MPRA Paper |
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Original Title: | Непараметрические оценки эффективности российских банков |
English Title: | Nonparametric estimates of Russian banks efficiency |
Language: | Russian |
Keywords: | Russian banking system, regional banks, net assets, bank competition, bank regulation, IAS, bank balance sheets |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics D - Microeconomics > D2 - Production and Organizations > D22 - Firm Behavior: Empirical Analysis G - Financial Economics > G2 - Financial Institutions and Services > G20 - General G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages |
Item ID: | 56037 |
Depositing User: | Anatoly A. Peresetsky |
Date Deposited: | 17 May 2014 13:21 |
Last Modified: | 03 Oct 2019 06:48 |
References: | Алескеров Ф. Т., Мартынова Ю. И., Солодков В. М. (2008). Анализ и оценка эффективности функционирования банков и банковских систем. В: «Сборник докладов VIII Международной научной конферен-ции “Модернизация экономики и общественное развитие”». М.: ГУ ВШЭ. Golovan, Sergei, 2006. "Factors Influencing the Efficiency of the Russian Banks Performance," Applied Econometrics, vol. 2 (2), pages 3-17. Головань С. В., Карминский А. М., Пересецкий А. А. (2008). Эффективность российских банков с точки зрения минимизации издержек, с учетом факторов риска. Экономика и мат. методы. Т. 44. № 4. Головань С. В., Назин В. В., Пересецкий А. А. (2009): Непараметрические оценки эффективности российских банков. В сб.: “Модернизация экономики и глобализация”. М.: ГУ ВШЭ. Кошелюк Ю. М. (2008): Граничный анализ эффективности функционирования российских банков в период 2004–2005 годов. В: «Сборник докладов VIII Международной научной конференции “Модернизация экономики и общественное развитие”». М.: ГУ ВШЭ. Pavlyuk, Dmitry, 2006. "Efficiency model of Russian banks," Applied Econometrics, , vol. 3(3), pages 3-8. Peresetsky A., (2009). Cost efficiency of banks. Russia and Kazakhstan. Finansy i Biznes (Finance and Business). n.1, 2009, pp. 41–53. (in Russian). Aigner D. J., Lovell C. A. K., Schmidt P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics. Vol. 6. № 1. Banker R. D., Charnes A., Cooper W. W. (1984). Some Models for Estimating Technical and Scale Efficiencies in Data Envelopment Analysis. Management Science. Vol. 30. Battese G. E., Coelli T. J. (1995). A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data. Empirical Econ. Vol. 20. Bauer P. W., Berger A. N., Ferrier G. D., Humphrey D. B. (1998). Consistency Conditions for Regulatory Analysis of Financial Institutions. A Comparison of Frontier Efficiency Methods. Journal of Econ. and Business. Vol. 50. Berger A. N., Mester L. (1997). Inside the Black Box. What Explains Differences in the Effi ciencies of Financial Institutions?. Journal of Banking and Finance. Vol. 21. Berger A. N., Humphrey D. B. (1997). Effi ciency of Financial Institutions: International Survey and Directions for Future Research. European Journal of Operational Research. Vol. 98. Bonin J. P., Hasan I., Wachtel P. (2005a). Bank Performance, Efficiency and Ownership in Transition Countries. Journal of Banking and Finance. Vol. 29. Bonin J. P., Hasan I., Wachtel P. (2005b). Privatization Matters: Bank Efficiency in Transition Countries. Journal of Banking and Finance. Vol. 29. Caner S., Kontorovich V. K. (2004). Efficiency of the Banking Sector in the Russian Federation with International Comparison. Economic Journal of Higher School of Economics. Vol. 8. № 3. Charnes A., Cooper W. W., Rhodes E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research. Vol. 2(6). 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. Vol. 46. Coelli T., Perelman S. (1996) Efficiency Measurement, Multiple-Output Technologies and Distance Functions: with Application to European Railways. CREPP Working Paper 96/05. Universitй de Liege. Cook W. D., Seiford L. M. (2009). Data envelopment analysis (DEA) – Thirty years on. European Journal of Operational Research . Vol. 192. Drake L., Hall M.J.B., Simper R. (2006). The Impact of Macroeconomic and Regulatory Factors on Bank Effi ciency: A Non-Parametric Analysis of Hong-Kong’s Banking System. Journal of Banking and Finance. Vol. 30. Drake L., Hall M. J. B., Simper R. (2009). Bank Modelling Methodologies: A Comparative Non-Parametric Analysis of Efficiency in the Japanese Banking Sector. Journal of International Financial Markets, Institutions and Money. Vol. 19. Eisenbeis R. A., Ferrier G. D., Kwan S. H. (1999). The Informativeness of Stochastic Frontier and Programming Frontier Efficiency Scores: Cost Efficiency and Other Measures of Bank Holding Company Performance. Federal Reserve Bank of Atlanta. Working Paper 99-23. Farrell M. J. (1957): The Measurement of Productive Efficiency. Journal of Royal Statistical Society. Vol. 120. P. III. Ferrier G., Lovell C. A. K. (1990). Measuring Cost Efficiency in Banking: Econometric and Linear Programming Evidence. Journal of Econometrics. Vol. 46. Fiorentino E., Karmann A., Koetter M. (2006). The Cost Efficiency of German Banks: a Comparison of SFA and DEA. Deutsche Bundesbank Discussion Paper Series 2. No. 10. Karas A., Schoors K., Weill L. (2008). Are Private Banks More Efficient than Public Banks? Evidence from Russia. BOFIT Discussion Papers. 3. Koopmans T. C. (1951). An Analysis of Production as an Efficient Combination of Activities. In: “Activity Analysis of Production and Allocation”. Cowless Commission for Research in Economics. N.Y.: Wiley. Kumbhakar S. C., Lovell C. A. K. (2000). Stochastic Frontier Analysis. Cambridge: Cambridge University Press. Lensink R., Meesters A., Naaborg I. (2008). Bank Efficiency and Foreign Ownership: Do Good Institutions Matter?. Journal of Banking and Finance. Vol. 32. Mamatzakis E., Staikouras C., Koutsomanoli-Filippaki A. (2008). Bank Efficiency in the New European Union Member States: Is there Convergence?. International Rev. of Financial Analysis. Vol. 17(5). Meeusen W., Broeck van den J. (1977). Efficiency Estimation from Cobb–Douglas Production Functions with Composed Error. International Econ. Rev. Vol. 18(2). Park В., Simar L., Weiner С. (1999). The FDH Estimator for Productivity Efficiency Scores: Asymptotic Properties. Econometric Theory. Vol. 16. Simar L., Wilson P. W. (2000). A General Methodology for Bootstrapping in Nonparametric Frontier Models. Journal of Applied Statistics. Vol. 27. Simar L., Wilson P. W. (2004). Performance of the Bootstrap for DEA Estimators and Iterating the Principle. In “Handbook on data envelopment analysis”. Norwell: Kluwer academic publishers. Simar L., Wilson P. W. (2007). Estimation and Inference in Two-Stage, Semi-Parametric Models of Production Processes. Journal of Econometrics. Vol. 136(1). Staikouras C., Mamatzaki E., Koutsomanoli-Filippaki A. (2008). Cost Efficiency of the Banking Industry in the South Eastern European Region. International Financial Markets, Institutions and Money. Vol. 18(5). Styrin K. (2005). What Explains Differences in Efficiency Across Russian Banks. Econ. Education and Res. Consortium Russia and CIS. 01–258. Weill L. (2003). Banking Effi ciency in Transition Economies: The Role of Foreign Ownership. Econ. of Transition. Vol. 11(3). |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/56037 |