Subject. The efficiency of systemically important credit institutions in Russia. Objectives. To carry out a comparative assessment of the efficiency of systemically important credit institutions using the DEA method. Methods. The Data Envelopment Analysis (DEA) methodology was applied. Two output?oriented computer models were used: the CCR model (radial method) and the ERM model (maximum distance to the frontier method). Results. Efficiency modelling of Russia’s systemically important credit institutions was carried out by assessing the impact of input variables — capital and assets — on output variables — deposits, loans, and net profit. Russia’s systemically important banks were divided into two subgroups according to their level of efficiency. The first subgroup, comprising six banks, was identified as highly efficient; the second subgroup, consisting of five banks, was classified as moderately efficient. Conclusions and Relevance. High efficiency of the systemically important banks was established, which indicates the success of the regulator’s policy in forming this group of banks and in their macroprudential regulation. The results can be used by the Bank of Russia when shaping the policy for the development of the banking system and when making decisions on the macroprudential regulation of systemically important credit institutions.
Keywords: systemically important credit institutions, efficiency, DEA modeling, CCR model, ERM model
References:
Mirgasimov D.R. [Analysis of sustainable development management in systemically important credit institutions of the Russian Federation]. Fundamental'nye issledovaniya, 2022, no. 12, pp. 50–55. (In Russ.) DOI: 10.17513/fr.43396 EDN: HZNMDB
Rabadanova D.A. [Analysis of the dynamics and structure of assets of systemically important credit institutions of the Russian Federation]. Zhurnal monetarnoi ekonomiki i menedzhmenta, 2024, no. 11, pp. 174–178. (In Russ.) DOI: 10.26118/2782-4586.2024.88.27.137 EDN: KGUVAJ
Gasanov O.S. [Trends of advances portfolio transformation in Russia and in euro area]. Nauchnoe obozrenie, 2016, no. 8, pp. 187–192. (In Russ.) EDN: WBEXZT
Tershukova M.B., Abramov V.S. [Macroprudential regulation by the Bank of Russia of the activities of systemically important credit institutions in modern conditions]. Ekonomika i predprinimatel'stvo, 2024, no. 1, pp. 395–397. (In Russ.) DOI: 10.34925/EIP.2024.162.1.070 EDN: QUVUOZ
Rabadanova D.A. [Participation of systemically important banks in the formation of resources of the banking sector of the Russian Federation]. Zhurnal monetarnoi ekonomiki i menedzhmenta, 2024, no. 11, pp. 190–195. (In Russ.) DOI: 10.26118/2782-4586.2024.66.74.140 EDN: CQLYTC
Rabadanova D.A. [The role of systemically important credit institutions in the Russian banking system]. Zhurnal monetarnoi ekonomiki i menedzhmenta, 2024, no. 12, pp. 54–60. (In Russ.) DOI: 10.26118/2782-4586.2024.64.34.155 EDN: GWAEHC
Korotkova E.R. [Characteristics and analysis of too big to fail banks in the banking sphere of the Russian Federation]. Biznes. Banki, 2019, vol. 2, pp. 10–20. (In Russ.) EDN: OQXRYP
Miller E.V., Zavadskaya V.V. [Research of financial stability of systemically important banks in modern conditions]. Vestnik Altaiskoi akademii ekonomiki i prava, 2023, no. 6-2, pp. 232–237. (In Russ.) DOI: 10.17513/vaael.2883 EDN: AETMCL
Sinichenko O.A. [Banking system stability assessment in the context of the country's financial security improvement]. Izvestiya Saratovskogo universiteta. Novaya seriya. Seriya: Ekonomika. Upravlenie. Pravo, 2025, vol. 25, no. 1, pp. 16–26. (In Russ.) DOI: 10.18500/1994-2540-2025-25-1-16-26 EDN: CLXJMS
Bobkov E.O. [Statistical analysis of the dynamics of liquidityof systemically important credit institutionsof the Russian Federation]. Sibirskaya finansovaya shkola, 2021, no. 4, pp. 99–104. (In Russ.) DOI: 10.34020/1993-4386-2021-4-99-104 EDN: NUQWMK
Badylevich R.V., Verbinenko E.A. [Assessment of the systemic importance of regional credit institutions in the subjects of the Arctic Zone of the Russian Federation and determination of the opportunities for their support]. Arktika i Sever, 2022, no. 47, pp. 5–25. (In Russ.) DOI: 10.37482/issn2221-2698.2022.47.5 EDN: YDDICO
Shaker I.E. [Assessment of the application of macroprudential regulation instruments to systemically important credit institutions]. Finansovye rynki i banki, 2018, no. 4, pp. 22–27. (In Russ.) EDN: OSOCKO
Gou S., Pizengol'ts V.M. [Heterogeneity of financial technologies on profitability of commercial banks]. Mezhdunarodnyi nauchnyi zhurnal, 2025, no. 3, pp. 116–125. (In Russ.) DOI: 10.34286/1995-4638-2025-103-3-116-125 EDN: BSQWGT
Kovalev I., Zelenkov P., Ognerubov S. The Efficiency Analysis of Automated Lines of Companies Based on DEA Method. In: Gil-Lafuente A., Zopounidis C. (eds) Decision Making and Knowledge Decision Support Systems. Lecture Notes in Economics and Mathematical Systems, Springer, Cham, 2015, vol. 675, pp. 107–115. DOI: 10.1007/978-3-319-03907-7_12 EDN: UFMVAV
Pastor J.T., Aparicio J., Zofío J.L. The Enhanced Russell Graph Measure (ERG=SBM): Economic Inefficiency Decompositions. In: Benchmarking Economic Efficiency. International Series in Operations Research & Management Science, Springer, Cham, 2022, vol. 315, pp. 279–310. DOI: 10.1007/978-3-030-84397-7_7
Kahveçi E., Wolfs B. Digital banking impact on Turkish deposit banks performance. Banks and Bank Systems, 2018, vol. 13, iss. 3, pp. 48–57. DOI: 10.21511/bbs.13(3).2018.05
Shi X., Wang L., Emrouznejad A. Performance evaluation of Chinese commercial banks by an improved slacks-based DEA model. Socio-Economic Planning Sciences, 2023, vol. 90, 101702. DOI: 10.1016/j.seps.2023.101702 EDN: TBRAAT
Wu W.-Y., Liao Y.-K., Chang W.-S. et al. An assessment of bank efficiency in Cambodia: A comparison between multi-criteria measurement and the DEA approach. Asia Pacific Management Review, 2026, vol. 31, iss. 1, 100390. DOI: 10.1016/j.apmrv.2025.100390 EDN: QAHGKX
Cheng G., Qian Z., Zervopoulos P. Overcoming the infeasibility of super-efficiency DEA model: A model with generalized orientation. MPRA Paper, 2011, 31991.
