Evaluating Bangladesh Bank's Zoning Framework using Altman's Z-Score: Evidence from Commercial Banks

AUTHORS

Sharmin Sultana,Rupali Bank PLC, Chattogram, Bangladesh
Suraiya Nazneen,Department of Finance, University of Chittagong, Chattogram, Bangladesh
Anupam Das Gupta,Department of Finance, University of Chittagong, Chattogram, Bangladesh

ABSTRACT

Bangladesh's banking sector is currently undergoing a challenging period. The Bangladesh Bank's recent categorization of banks into red, yellow, and green zones has drawn the attention of stakeholders in the banking industry and raised questions about its evaluation criteria. This study aims to evaluate the financial performance and position of commercial banks in Bangladesh using the Altman Z-score Model and to verify its validity against the recently established red, yellow, and green zone banks. 44 Commercial Bank's four years of data, from 2019 to 2022, were analyzed for this purpose. Using the Altman Z-score model to assess the validity of Bangladesh bank zoning, only one bank was identified as safe, three as in the grey zone, and the remaining 38 as in the distress zone. However, the Altman Z-score opposes all Zoning by the Bangladesh Bank, except for 7 banks from the red zone out of 44 banks. The study argues that the Altman Z-score Model doesn't support the division of banks in most cases. The study confirms that the majority of Bangladesh's commercial banks are experiencing financial difficulties, and their performance between 2019 and 2022 was quite concerning. This study demands an in-depth investigation of the Bangladesh Bank Zoning criteria and an explanation of why this Zoning differs from other alternatives, which can be addressed in future research.

 

KEYWORDS

Commercial banks, Altman's Z-score, Bank Zoning, Financial distress

REFERENCES

[1] A. D. Gupta and A. Yesmin, "Effect of risk and market competition on efficiency of commercial banks: Does ownership matter?" Journal of Business Economics and Finance, vol. 11, pp. 22-42, (2022)
[2] E. I. Altman, "Financial ratios, discriminant analysis and the prediction of corporate bankruptcy," The Journal of Finance, vol. 23, pp. 589-609
[3] E. I. Altman, M. Iwanicz‐Drozdowska, E. K. Laitinen, and A. Suvas, "Financial distress prediction in an international context: A review and empirical analysis of Altman's Z‐score model," Journal of International Financial Management & Accounting, vol. 28, pp. 131-171, (2017)
[4] M. Khaddafi, M. Heikal, and A. Nandari, "Analysis Z-score to predict bankruptcy in banks listed in Indonesia stock exchange," International Journal of Economics and Financial Issues, vol. 7, pp. 326-330, (2017)
[5] C. Gunathilaka, "Financial Distress Prediction: A Comparative Study of Solvency Test and Z-Score Models with Reference to Sri Lanka," IUP Journal of Financial Risk Management, vol. 11, (2014)
[6] E. I. Altman, G. Marco, and F. Varetto, "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, vol. 18, pp. 505-529, (1994)
[7] P. Wanke, M. A. K. Azad, A. K. Yazdi, F. R. Birau, and C. M. Spulbar, "Revisiting camels rating system and the performance of Asean banks: a comprehensive mcdm/z-numbers approach," IEEE Access, vol. 10, pp. 54098-54109, (2022)
[8] S. A. Chakraborty, "Z-scores: An effective way of analysing banks risks," Asia Pacific Journal of Research, vol. 1, pp. 94-102, (2017)
[9] R. Dewanggi and A. E. Suwarno, "Analysis of Bank Health Levels Using Camel, RGEC, and Altman Z-Score Methods," International Journal of Latest Research in Humanities and Social Science (IJLRHSS), vol. 6, pp. 120-126, (2023)
[10] A. EI, "Emerging Markets Corporate Bonds: A Scoring System. Salomon Brothers Inc, New York, USA"
[11] G. M. Irina – Raluca Badea 1, "The Z-Score Model for Predicting Periods of Financial Instability. Z-Score Estimation for the Banks Listed on Bucharest Stock Exchange," (2016)
[12] A. M, "An Empirical Analysis of Liquidity, Profitability and Solvency of Bangladeshi Banks," Journal of Business & Financial Affairs, vol. 04, (2015) DOI:10.4172/2167-0234.1000157(CrossRef)(Google Scholar)
[13] A. Chowdhury and S. Barua, "Rationalities of z-category shares in Dhaka Stock Exchange: are they in financial distress risk?" BRAC University Journal vol. VI, pp. 45-58, (2009)
[14] P. Boekhorst, "Bankruptcy prediction for Dutch private firms using the Altman Z-score model," (2018)

CITATION

  • APA:
    Sultana,S.& Nazneen,S.& Gupta,A.D.(2025). Evaluating Bangladesh Bank's Zoning Framework using Altman's Z-Score: Evidence from Commercial Banks. International Journal of Smart Business and Technology, 13(2), 33-46. 10.21742/IJSBT.2025.13.2.03
  • Harvard:
    Sultana,S., Nazneen,S., Gupta,A.D.(2025). "Evaluating Bangladesh Bank's Zoning Framework using Altman's Z-Score: Evidence from Commercial Banks". International Journal of Smart Business and Technology, 13(2), pp.33-46. doi:10.21742/IJSBT.2025.13.2.03
  • IEEE:
    [1] S.Sultana, S.Nazneen, A.D.Gupta, "Evaluating Bangladesh Bank's Zoning Framework using Altman's Z-Score: Evidence from Commercial Banks". International Journal of Smart Business and Technology, vol.13, no.2, pp.33-46, Dec. 2025
  • MLA:
    Sultana Sharmin, Nazneen Suraiya and Gupta Anupam Das. "Evaluating Bangladesh Bank's Zoning Framework using Altman's Z-Score: Evidence from Commercial Banks". International Journal of Smart Business and Technology, vol.13, no.2, Dec. 2025, pp.33-46, doi:10.21742/IJSBT.2025.13.2.03

ISSUE INFO

  • Volume 13, No. 2, 2025
  • ISSN(p):2288-8969
  • ISSN(e):2207-516X
  • Published:Dec. 2025

DOWNLOAD