IDEAS home Printed from https://ideas.repec.org/a/aif/journl/v5y2021i12p52-62.html

Measurement and Comparison of the Financial Soundness of Conventional and Islamic Commercial Banks in Bangladesh using the Altman’s Z Score Model

Author

Listed:
  • Shohel Rana

    (Associate Professor, Dept. of Finance and Banking, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, Bangladesh & PhD Fellow, Department of Finance, University of Rajshahi, Rajshahi, Bangladesh.)

  • Professor Dr. A.S.M. Kamruzzaman

    (Dept. of Finance, University of Rajshahi, Rajshahi, Bangladesh.)

Abstract

The prime objective of the paper is to measure and compare the financial soundness of conventional and Islamic commercial banks in Bangladesh and to suggest ways to improve the financial status of both categories of banks. Altman’s z-Score model is used to measure and predict the financial soundness of selected banks while an independent sample t-test is also used to measure the gap in financial soundness between conventional and Islamic commercial banks. This study uses secondary data and covers ten years study period of 2010-2019. The major finding of the study is that all conventional and Islamic commercial banks are in safe zone during the study period. Only First security Islamic bank ltd. was in the gray zone in 2010 but successfully recovered in the later period. This study also finds that conventional commercial banks are better in terms of financial health than Islamic commercial banks but this difference in financial soundness is not statistically significant.

Suggested Citation

  • Shohel Rana & Professor Dr. A.S.M. Kamruzzaman, 2021. "Measurement and Comparison of the Financial Soundness of Conventional and Islamic Commercial Banks in Bangladesh using the Altman’s Z Score Model," International Journal of Science and Business, IJSAB International, vol. 5(12), pages 52-62.
  • Handle: RePEc:aif:journl:v:5:y:2021:i:12:p:52-62
    as

    Download full text from publisher

    File URL: https://ijsab.com/wp-content/uploads/855.pdf
    Download Restriction: no

    File URL: https://ijsab.com/volume-5-issue-12/4568
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    2. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barbara Su, 2023. "Banking practices and borrowing firms’ financial reporting quality: evidence from bank cross-selling," Review of Accounting Studies, Springer, vol. 28(1), pages 201-236, March.
    2. Matthew Smith & Francisco Alvarez, 2022. "Predicting Firm-Level Bankruptcy in the Spanish Economy Using Extreme Gradient Boosting," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 263-295, January.
    3. Premachandra, I.M. & Bhabra, Gurmeet Singh & Sueyoshi, Toshiyuki, 2009. "DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique," European Journal of Operational Research, Elsevier, vol. 193(2), pages 412-424, March.
    4. José Carlos Trejo García & Humberto R�os Bol�var & Francisco Almagro V�zquez, 2016. "Actualización del modelo de riesgo crediticio, una necesidad para la banca revolvente en México," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 8(1), pages 17-30.
    5. Shaikh, Ibrahim A. & O'Brien, Jonathan Paul & Peters, Lois, 2018. "Inside directors and the underinvestment of financial slack towards R&D-intensity in high-technology firms," Journal of Business Research, Elsevier, vol. 82(C), pages 192-201.
    6. José-Luis Peydró [AP BACKUP – NOW EXTERNAL] & Mikel Bedayo & Raquel Vegas & Gabriel Jiménez & José-Luis Peydró, 2020. "Screening and Loan Origination Time: Lending Standards, Loan Defaults and Bank Failures," Working Papers 1215, Barcelona School of Economics.
    7. repec:ags:aolpei:309925 is not listed on IDEAS
    8. Ruey-Ching Hwang & Jhao-Siang Siao & Huimin Chung & C. Chu, 2011. "Assessing bankruptcy prediction models via information content of technical inefficiency," Journal of Productivity Analysis, Springer, vol. 36(3), pages 263-273, December.
    9. Beck, Thorsten & Laeven, Luc, 2006. "Resolution of failed banks by deposit insurers : cross-country evidence," Policy Research Working Paper Series 3920, The World Bank.
    10. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
    11. Antonio Davila & George Foster & Xiaobin He & Carlos Shimizu, 2015. "The rise and fall of startups: Creation and destruction of revenue and jobs by young companies," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 6-35, February.
    12. Jonas Heese, 2017. "The Role of Overbilling in Hospitals’ Earnings Management Decisions," Harvard Business School Working Papers 18-026, Harvard Business School.
    13. Masahiro Enomoto, 2018. "Effects of Corporate Governance on the Relationship between Accounting Quality and Trade Credit: Evidence from Japan," Discussion Paper Series DP2018-12, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2023.
    14. Knyazeva, Anzhela & Knyazeva, Diana, 2012. "Does being your bank’s neighbor matter?," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1194-1209.
    15. Chen, Peimin & Wu, Chunchi, 2014. "Default prediction with dynamic sectoral and macroeconomic frailties," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 211-226.
    16. Barth, Mary E. & Beaver, William H. & Landsman, Wayne R., 2001. "The relevance of the value relevance literature for financial accounting standard setting: another view," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 77-104, September.
    17. Bonfim, Diana, 2009. "Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 281-299, February.
    18. Xin Chang & Shi Hua Lin & Lewis H. K. Tam & George Wong, 2010. "Cross‐sectional determinants of post‐IPO stock performance: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(3), pages 581-603, September.
    19. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    20. Sanghoon Lee & Keunho Choi & Donghee Yoo, 2020. "Predicting the Insolvency of SMEs Using Technological Feasibility Assessment Information and Data Mining Techniques," Sustainability, MDPI, vol. 12(23), pages 1-17, November.
    21. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aif:journl:v:5:y:2021:i:12:p:52-62. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Farjana Rahman (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.