TRIANGULATING BANK FINANCIAL STABILITY IN A TRANSITION ECONOMY: THE Z-SCORE VERSUS A CAMELS-BASED COMPOSITE INDEX FOR UZBEKISTAN’S BANKING SYSTEM (2021–2024)
DOI:
https://doi.org/10.5281/zenodo.22807610Abstract
This study examines financial stability in Uzbekistan’s banking sector by triangulating two complementary assessment methodologies: the accounting-based Z-Score and a composite CAMELS-inspired index constructed from capital adequacy, profitability, and cost-efficiency indicators. Using annual data for three structurally distinct institutions—Aloqabank, Asia Alliance Bank, and Mikrokreditbank—over 2021–2024, we compute bank-year Z-Scores following Boyd and Runkle (1993) alongside a newly constructed Composite Financial Strength Index (CFSI). The Spearman rank correlation between the two measures is moderate and statistically insignificant at conventional levels (ρ = 0.41, p = 0.185, n = 12), indicating substantial divergence in stability rankings. The Z-Score systematically overstates Mikrokreditbank’s resilience during 2021–2023 owing to abnormally low earnings volatility characteristic of its government-directed lending mandate (the “low-sigma effect”), while understating Asia Alliance Bank’s genuine strength in periods of moderate volatility. The CFSI more consistently reflects prudential fundamentals, including Aloqabank’s 2022–2023 capital adequacy breaches. The findings suggest that singleindicator stability assessments can materially mislead supervisors in markets with heterogeneous bank ownership structures, and that composite, multi-dimensional frameworks better support prudential decision-making in transition economies such as Uzbekistan.Keywords
Z-Score, CAMELS, composite index, bank financial stability, Uzbekistan, transition economiesReferences
1. Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance, 23(4), 589–609. https://doi.org/10.1111/j.1540-6261.1968.tb00843.x
2. Beck, T., & Demirgüç-Kunt, A. (2009). Financial institutions and markets across countries and over time: The updated financial development and structure database. World Bank Economic Review, 24(1), 77–92.
3. Begimkulov, E. (2024). The empirical measurement of competition and digitalization for the banking sector of Kyrgyzstan: Impacts of efficiency, profitability, and stability. Journal of Eastern European and Central Asian Research, 11(5), 956–967. https://doi.org/10.15549/jeecar.v11i5.1614
4. Begimkulov, E. (2025). Bank digitalization and financial stability in Central Asia: Assessing risk and resilience. Journal of Eastern European and Central Asian Research, 12(1), 17–30. https://doi.org/10.15549/jeecar. v12i1.2100
5. Berdiyarov, B. (2021). Uzbekistan in banking practice: Opportunities to use foreign experience to ensure liquidity and solvency of commercial banks. ACM International Conference Proceeding Series.
6. Berger, A. N., Clarke, G. R. G., Cull, R., Klapper, L., & Udell, G. F. (2005). Corporate governance and bank performance: A joint analysis of the static, selection, and dynamic effects of domestic, foreign, and state ownership. Journal of Banking & Finance, 29(8–9), 2179–2221. https://doi.org/10.1016/j. jbankfin.2005.03.013
7. Boyd, J. H., & Runkle, D. E. (1993). Size and performance of banking firms: Testing the predictions of theory. Journal of Monetary Economics, 31(1), 47–67. https://doi.org/10.1016/0304-3932(93)90016-9
8. Central Bank of Uzbekistan. (2024). Annual report on banking sector development 2023.
9. Cihák, M., & Hesse, H. (2010). Islamic banks and financial stability: An empirical analysis. Journal of Financial Services Research, 38(2–3), 95–113. https://doi.org/10.1007/s10693-010-0089-0
10. Demirgüç-Kunt, A., & Huizinga, H. (2010). Bank activity and funding strategies: The impact on risk and returns. Journal of Financial Economics, 98(3), 626–650. https://doi.org/10.1016/j.jfineco.2010.06.004
11. Gaybulloev, S. (2025). Prospects for applying the Z-Score model in assessing financial stability in the Uzbekistan banking system. Muhandislik va Iqtisodiyot, (12), 1586.
12. Iannotta, G., Nocera, G., & Sironi, A. (2007). Ownership structure, risk and performance in the European banking industry. Journal of Banking & Finance, 31(7), 2127–2149. https://doi.org/10.1016/j. jbankfin.2006.07.013
13. Laeven, L., & Levine, R. (2009). Bank governance, regulation and risk taking. Journal of Financial Economics, 93(2), 259–275. https://doi.org/10.1016/j.jfineco.2008.09.003
14. Lepetit, L., & Strobel, F. (2013). Bank insolvency risk and time-varying Z-Score measures. Journal of International Financial Markets, Institutions and Money, 25, 73–87. https://doi.org/10.1016/j. intfin.2013.01.004
15. Roy, A. D. (1952). Safety first and the holding of assets. Econometrica, 20(3), 431–449. https://doi. org/10.2307/1907413
16. Suryanto, S., Muhyi, H. A., Kuirniati, P. S., & Mustapha, N. (2022). Banking financial performance in the industry financial technology era. Journal of Eastern European and Central Asian Research, 9(5), 889–
17. https://doi.org/10.15549/jeecar.v9i5.1075
18. Yudaruddin, R. (2022). Bank concentration and stability in Central Asia: The effect of capital regulation and financial freedom. Journal of Eastern European and Central Asian Research, 9(2), 206–216. https://doi. org/10.15549/jeecar.v9i2.733
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 ECONOSCITECH INTEGRATION

This work is licensed under a Creative Commons Attribution 4.0 International License.
