IDEAS home Printed from https://ideas.repec.org/a/rnd/arimbr/v16y2024i2p28-36.html
   My bibliography  Save this article

Financial Distress Prediction of Islamic Banks in Top Sukuk-Issuing Countries: An Application of Altman’s Z-Score Model

Author

Listed:
  • Siti Nurulhuda Ibrahim
  • Shafinar Ismail
  • Nur Hayati Abd Rahman
  • Irfah Najihah Basir Malan
  • Wan Musyirah Wan Ismail

Abstract

Financial stability and solvency are essential for manufacturing and service businesses driven by profit, especially the banking sector. As a service sector organization, the banking industry is vital to economic growth. Along with the financial market, both achieved significant progression, particularly in the sukuk market. Despite the possibility of complementary interaction between the sukuk market and Islamic banking institutions, there are also concerns about competitive likelihood. Thus, the study of the finance scope of these Islamic banks in top sukuk issuing countries is crucial. This study applies the Altman Z-score model to measure private-sector banks’ financial health from 2018 to 2022. The sample comprises of Islamic banks in the top sukuk-issuing countries (i.e. Malaysia, Saudi Arabia, Indonesia, Turkiye, United Arab Emirates, Bahrain, and Pakistan). It concludes that UAE, Indonesia, and Saudi Arabia are experiencing financial distress since these banks fall into the “Distress Zone” according to Z-score criteria. Meanwhile, Turkiye, Bahrain, and Pakistan are categorized under the “Grey Zone” and require further improvement on specific financial ratios. Lastly, Malaysia is the only country under the top sukuk-issuing countries that merely achieved the “Safe Zone” criteria, implying that the Islamic banks in this country have greater financial stability rather than others.

Suggested Citation

  • Siti Nurulhuda Ibrahim & Shafinar Ismail & Nur Hayati Abd Rahman & Irfah Najihah Basir Malan & Wan Musyirah Wan Ismail, 2024. "Financial Distress Prediction of Islamic Banks in Top Sukuk-Issuing Countries: An Application of Altman’s Z-Score Model," Information Management and Business Review, AMH International, vol. 16(2), pages 28-36.
  • Handle: RePEc:rnd:arimbr:v:16:y:2024:i:2:p:28-36
    DOI: 10.22610/imbr.v16i2(I).3725
    as

    Download full text from publisher

    File URL: https://ojs.amhinternational.com/index.php/imbr/article/view/3725/2501
    Download Restriction: no

    File URL: https://ojs.amhinternational.com/index.php/imbr/article/view/3725
    Download Restriction: no

    File URL: https://libkey.io/10.22610/imbr.v16i2(I).3725?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Mimouni, Karim & Smaoui, Houcem & Temimi, Akram & Al-Azzam, Moh'd, 2019. "The impact of Sukuk on the performance of conventional and Islamic banks," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 42-54.
    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. Uddin, Md Hamid & Kabir, Sarkar Humayun & Hossain, Mohammed Sawkat & Wahab, Nor Shaipah Abdul & Liu, Jia, 2020. "Which firms do prefer Islamic debt? An analysis and evidence from global sukuk and bonds issuing firms," Emerging Markets Review, Elsevier, vol. 44(C).
    2. 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.
    3. Stephen Brown & William Goetzmann & Bing Liang & Christopher Schwarz, 2008. "Mandatory Disclosure and Operational Risk: Evidence from Hedge Fund Registration," Journal of Finance, American Finance Association, vol. 63(6), pages 2785-2815, December.
    4. 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.
    5. Mikel Bedayo & Gabriel Jiménez & José-Luis Peydró & Raquel Vegas, 2020. "Screening and Loan Origination Time: Lending Standards, Loan Defaults and Bank Failures," Working Papers 1215, Barcelona School of Economics.
    6. Ch. Piette & M.-D. Zachary, 2015. "Sensitivity to the crisis of SME financing in Belgium," Economic Review, National Bank of Belgium, issue iii, pages 31-45, December.
    7. Ruey-Ching Hwang, 2013. "Forecasting credit ratings with the varying-coefficient model," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1947-1965, December.
    8. 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.
    9. 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.
    10. Chen, Peimin & Wu, Chunchi, 2014. "Default prediction with dynamic sectoral and macroeconomic frailties," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 211-226.
    11. Knyazeva, Anzhela & Knyazeva, Diana, 2012. "Does being your bank’s neighbor matter?," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1194-1209.
    12. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
    13. 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).
    14. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    15. Gropp, R. & Grundl, C. & Guttler, A., 2012. "Does Discretion in Lending Increase Bank Risk? Borrower Self-Selection and Loan Officer Capture Effects," Other publications TiSEM bfec5360-2a2b-47e4-ba3f-d, Tilburg University, School of Economics and Management.
    16. Pavol Durana & Lucia Michalkova & Andrej Privara & Josef Marousek & Milos Tumpach, 2021. "Does the life cycle affect earnings management and bankruptcy?," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 425-461, June.
    17. Harlan Platt & Marjorie Platt, 2002. "Predicting corporate financial distress: Reflections on choice-based sample bias," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(2), pages 184-199, June.
    18. Dinh, K. & Kleimeier, S., 2006. "Credit scoring for Vietnam's retail banking market : implementation and implications for transactional versus relationship lending," Research Memorandum 012, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    19. Park, Moon Deok & Han, Seung Hun, 2023. "Pay dispersion and CSR," Finance Research Letters, Elsevier, vol. 51(C).
    20. Richardson, Grant & Taylor, Grantley & Lanis, Roman, 2015. "The impact of financial distress on corporate tax avoidance spanning the global financial crisis: Evidence from Australia," Economic Modelling, Elsevier, vol. 44(C), pages 44-53.

    More about this item

    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:rnd:arimbr:v:16:y:2024:i:2:p:28-36. 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: Muhammad Tayyab (email available below). General contact details of provider: https://ojs.amhinternational.com/index.php/imbr .

    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.