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 Multidimensional International Assessment of Banking Systems’ Adaptive Capacity: An Index-Based Approach and Ukraine’s Positioning Hrabariev A. V.
Hrabariev, Andrii V. (2026) “Multidimensional International Assessment of Banking Systems’ Adaptive Capacity: An Index-Based Approach and Ukraine’s Positioning.” Business Inform 9:742–742.
Section: Finance, Money Circulation and Credit
Article is written in UkrainianDownloads/views: 0 | |
UDC 336.71:519.237.8:339.9
Abstract: International comparisons of banking systems often rely on aggregate rankings that combine internal characteristics of financial intermediation with external macroeconomic conditions and insufficiently capture the structural heterogeneity of components. As a result, similar average scores may correspond to fundamentally different adaptive profiles. The aim of this study is to develop and empirically test a multidimensional approach to the international assessment of banking systems’ adaptive capacity and to determine Ukraine’s structural position among reference countries. The empirical basis is a 14-country cross-section for 2024 compiled from World Bank and IMF data. Internal adaptive capacity is represented by four partial dimensions: financial depth (FD), financial stability (FS), structural organization (SO), and digital-transactional transformation (DT), while the macroeconomic environment (ME) is separated as an external context. The methodology combines robust P5–P95 min–max normalization, the Integrated Adaptive Capacity Index (IACI), two independent measures of structural balance (B* and Balt), k-means and Ward clustering, principal component analysis, and Euclidean distances in the standardized multidimensional space. The results show that Ukraine has an IACI of 0.410 and ranks 14th, but its profile is not uniformly weak; rather, it is structurally asymmetric: FD = 0.000 and FS = 0.090 coexist with SO = 0.901 and DT = 0.649. B* = 0.521 and Balt = 0.246 are the lowest in the sample, while the rank correlation between the two balance measures is ? = 0.947. The two-cluster typology places Ukraine in a group characterized by a weaker financial core and relatively strong structural organization. The first two principal components explain 73.2% of cross-country variance, while Poland and Lithuania are the closest reference systems to Ukraine in the full standardized four-dimensional space. The scientific novelty lies in separating the «level» and «structure» of adaptive capacity, isolating the external environment from the internal index, and integrating index-based, cluster, PCA, and geometric positioning. The practical value is the ability to identify structural convergence priorities based on the configuration of functional components rather than a formal rank; for Ukraine, the key priorities are restoring credit transmission and strengthening risk-absorption capacity while preserving organizational and digital-transactional advantages.
Keywords: adaptive capacity; banking system; international positioning; composite index; structural balance; financial stability; clustering; principal component analysis.
Fig.: 3. Tabl.: 6. Formulae: 6. Bibl.: 30.
Hrabariev Andrii V. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Informatics and Systemology, Kyiv National Economic University named after Vadym Hetman (54/1 Beresteiskyi Ave., Kyiv, 03057, Ukraine) Email: [email protected]
List of references in article
Abdurrahman A., Gustomo A. & Prasetio E. A. (2024). Impact of Dynamic Capabilities on Digital Transformation and Innovation to Improve Banking Performance: A TOE Framework Study. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), Art. 100215. https://doi.org/10.1016/j.joitmc.2024.100215
Basel Committee on Banking Supervision. (2024). Digitalisation of Finance. Basel: Bank for International Settlements. https://www.bis.org/bcbs/publ/d575.htm
Bonin J. P., Hasan I. & Wachtel P. (2005). Bank Performance, Efficiency and Ownership in Transition Countries. Journal of Banking & Finance, 29(1), 31–53. https://doi.org/10.1016/j.jbankfin.2004.06.015
Boot A., Hoffmann P., Laeven L. & Ratnovski L. (2021). Fintech: What’s Old, What’s New?. Journal of Financial Stability, 53, Art. 100836. https://doi.org/10.1016/j.jfs.2020.100836
Claessens S. & van Horen N. (2014). Foreign Banks: Trends and Impact. Journal of Money, Credit and Banking, 46(1), 295–326. https://doi.org/10.1111/jmcb.12092
De Haas R. & van Lelyveld I. (2006). Foreign Banks and Credit Stability in Central and Eastern Europe: A Panel Data Analysis. Journal of Banking & Finance, 30(7), 1927–1952. https://doi.org/10.1016/j.jbankfin.2005.07.007
Demirguc-Kunt A., Pedraza A. & Ruiz-Ortega C. (2021). Banking Sector Performance during the COVID-19 Crisis. Journal of Banking & Finance, 133, Art. 106305. https://doi.org/10.1016/j.jbankfin.2021.106305
Greco S., Ishizaka A., Tasiou M. & Torrisi G. (2019). On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness. Social Indicators Research, 141, 61–94. https://doi.org/10.1007/s11205-017-1832-9
Cihak M., Demirguc-Kunt A., Feyen E. & Levine R. (2012). Benchmarking Financial Systems around the World. Washington, DC: The World Bank, 6175. https://doi.org/10.1596/1813-9450-6175
International Monetary Fund. (2016). Monetary and Financial Statistics Manual and Compilation Guide. Washington, DC: IMF. https://www.imf.org/en/publications/manuals-guides/issues/2018/09/21/monetary-and-financial-statistics-manual-and-compilation-guide-43001
International Monetary Fund. Financial Access Survey (FAS). IMF Data. https://data.imf.org/Datasets/FAS
International Monetary Fund. Financial Soundness Indicators. IMF Data. https://data.imf.org/Datasets/FSIC
International Monetary Fund. World Economic Outlook Database, April 2026. IMF Data. https://data.imf.org/Datasets/WEO
Jolliffe I. T. (2002). Principal Component Analysis. New York: Springer. https://doi.org/10.1007/b98835
Murtagh F. & Contreras P. (2012). Algorithms for Hierarchical Clustering: An Overview. WIREs Data Mining and Knowledge Discovery, 2(1), 86–97. https://doi.org/10.1002/widm.53
OECD, European Union, European Commission & Joint Research Centre (2008). Handbook on Constructing Composite Indicators: Methodology and User Guide. Paris: OECD Publishing. https://doi.org/10.1787/9789264043466-en
Ozili P. K. (2018). Impact of Digital Finance on Financial Inclusion and Stability. Borsa Istanbul Review, 18(4), 329–340. https://doi.org/10.1016/j.bir.2017.12.003
Porfirio J. A., Felicio J. A. & Carrilho T. (2024). Factors Affecting Digital Transformation in Banking. Journal of Business Research, 171, Art. 114393. https://doi.org/10.1016/j.jbusres.2023.114393
Rousseeuw P. J. (1987). Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis. Journal of Computational and Applied Mathematics, 20, 53–65. https://doi.org/10.1016/0377-0427(87)90125-7
Svirydzenka K. (2016). Introducing a New Broad-Based Index of Financial Development. Washington, DC: International Monetary Fund, 16/5, 43 p. https://doi.org/10.5089/9781513583709.001
Thakor A. V. (2020). Fintech and Banking: What Do We Know?. Journal of Financial Intermediation, 41, Art. 100833. https://doi.org/10.1016/j.jfi.2019.100833
Verhoef P. C., Broekhuizen T. & Bart Y. (2021). Digital Transformation: A Multidisciplinary Reflection and Research Agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
Vial G. (2019). Understanding Digital Transformation: A Review and a Research Agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Vives X. (2019). Digital Disruption in Banking. Annual Review of Financial Economics, 11, 243–272. https://doi.org/10.1146/annurev-financial-100719-120854
World Bank. Domestic Credit to Private Sector by Banks (% of GDP): Metadata, indicator FD.AST.PRVT.GD.ZS. World Development Indicators. https://databank.worldbank.org/metadataglossary/world-development-indicators/series/FD.AST.PRVT.GD.ZS
World Bank. World Development Indicators. DataBank. https://databank.worldbank.org/source/world-development-indicators
Xie X. & Wang S. (2023). Digital Transformation of Commercial Banks in China: Measurement, Progress and Impact. China Economic Quarterly International, 3(1), 35–45. https://doi.org/10.1016/j.ceqi.2023.03.002
Yehorycheva S., Khutorna M. & Rudenko M. (2022). The Development of Methodology of Banks’ Financial Stability Assessment by Taxonometric Method. Financial and Credit Activity: Problems of Theory and Practice, 1, 13–25. https://doi.org/10.55643/fcaptp.1.42.2022.3650
Zakharkina L., Rubanov P. & Kabdybay A. (2025). Digitalization – CSR Integration in Transitional Banking: Evidence from Ukraine and Kazakhstan. Banks and Bank Systems, 20(4), 256–275. https://doi.org/10.21511/bbs.20(4).2025.20
Zarutska O., Dobrovolska O. & Masiuk I. (2024). Risk Management through a Kohonen Map Bank Business Model Survey: The Case of Ukraine. Banks and Bank Systems, 19(2), 221–233. https://doi.org/10.21511/bbs.19(2).2024.18
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