IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i8p3226-d346363.html
   My bibliography  Save this article

Proposing a Multidimensional Bankruptcy Prediction Model: An Approach for Sustainable Islamic Banking

Author

Listed:
  • Mehreen Mehreen

    (Department of Management and Humanities, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Seri Iskandar 32610, Perak, Malaysia)

  • Maran Marimuthu

    (Department of Management and Humanities, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Seri Iskandar 32610, Perak, Malaysia)

  • Samsul Ariffin Abdul Karim

    (Fundamental and Applied Sciences Department and Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Seri Iskandar 32610, Perak Darul Ridzuan, Malaysia)

  • Amin Jan

    (Department of Management and Humanities, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Seri Iskandar 32610, Perak, Malaysia)

Abstract

The main purpose of this study is to conceptualize a sustainable banking model for Islamic banking by blending three essential business aspects namely financial performance, Islamic corporate governance, and sustainability practices dimension. In the case of Islamic banking, evidence shows that a Shariah-based bankruptcy prediction model for apprehending the true bankruptcy prediction is over-sighted. This study offers an efficient Shariah-based bankruptcy prediction model by first, reviewing the previously applied conventional bankruptcy prediction models; secondly, by developing and proposing a robust, multidimensional model for predicting bankruptcy in Islamic banking. This framework may have profound implications on the existing bankruptcy evaluation structure of the Islamic banking industry and may provide a strong sustainability management guideline to the global Islamic banking industry.

Suggested Citation

  • Mehreen Mehreen & Maran Marimuthu & Samsul Ariffin Abdul Karim & Amin Jan, 2020. "Proposing a Multidimensional Bankruptcy Prediction Model: An Approach for Sustainable Islamic Banking," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3226-:d:346363
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/8/3226/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/8/3226/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nidhi Bansal & Anil K. Sharma, 2016. "Audit Committee, Corporate Governance and Firm Performance: Empirical Evidence from India," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(3), pages 103-116, March.
    2. Izan, H. Y., 1984. "Corporate distress in Australia," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 303-320, June.
    3. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    4. Khawla Bourkhis & Mahmoud Sami Nabi, 2013. "Islamic and conventional banks' soundness during the 2007–2008 financial crisis," Review of Financial Economics, John Wiley & Sons, vol. 22(2), pages 68-77, April.
    5. Roszaini Haniffa & Mohammad Hudaib, 2007. "Exploring the Ethical Identity of Islamic Banks via Communication in Annual Reports," Journal of Business Ethics, Springer, vol. 76(1), pages 97-116, November.
    6. Ayoola Tajudeen John & Obokoh Lawrence Ogechukwu, 2018. "Corporate Governance and Financial Distress in the Banking Industry: Nigerian Experience," Journal of Economics and Behavioral Studies, AMH International, vol. 10(1), pages 182-193.
    7. Laurent Clerc & Alexis Derviz & Caterina Mendicino & Stephane Moyen & Kalin Nikolov & Livio Stracca & Javier Suarez & Alexandros P. Vardoulakis, 2015. "Capital Regulation in a Macroeconomic Model with Three Layers of Default," International Journal of Central Banking, International Journal of Central Banking, vol. 11(3), pages 9-63, June.
    8. 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.
    9. Saiful Anwar & A.M Hasan Ali, 2018. "ANNs-BASED EARLY WARNING SYSTEM FOR INDONESIAN ISLAMIC BANKS," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 20(3), pages 1-18, January.
    10. Bassam Maali & Peter Casson & Christopher Napier, 2006. "Social reporting by islamic banks," Abacus, Accounting Foundation, University of Sydney, vol. 42(2), pages 266-289, June.
    11. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    12. Lassoued, Mongi, 2018. "Comparative study on credit risk in Islamic banking institutions: The case of Malaysia," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 267-278.
    13. Mollah, Sabur & Zaman, Mahbub, 2015. "Shari’ah supervision, corporate governance and performance: Conventional vs. Islamic banks," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 418-435.
    14. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    15. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    16. Wilcox, Jw, 1971. "Simple Theory Of Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 9(2), pages 389-345.
    17. Amin Jan & Maran Marimuthu & Muhammad Pisol bin Mohd @ Mat Isa & Muhammad Kashif Shad, 2019. "Bankruptcy Forecasting and Economic Sustainability Profile of the Market Leading Islamic Banking Countries," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 10(2), pages 73-90, April.
    18. Zakaria Ali Aribi & Thankom Arun, 2015. "Corporate Social Responsibility and Islamic Financial Institutions (IFIs): Management Perceptions from IFIs in Bahrain," Journal of Business Ethics, Springer, vol. 129(4), pages 785-794, July.
    19. Martin Čihák & Heiko Hesse, 2010. "Islamic Banks and Financial Stability: An Empirical Analysis," Journal of Financial Services Research, Springer;Western Finance Association, vol. 38(2), pages 95-113, December.
    20. Elena Platonova & Mehmet Asutay & Rob Dixon & Sabri Mohammad, 2018. "The Impact of Corporate Social Responsibility Disclosure on Financial Performance: Evidence from the GCC Islamic Banking Sector," Journal of Business Ethics, Springer, vol. 151(2), pages 451-471, August.
    21. Azlan Amran & Hasan Fauzi & Yadi Purwanto & Faizah Darus & Haslinda Yusoff & Mustaffa Mohamed Zain & Dayang Milianna Abang Naim & Mehran Nejati, 2017. "Social responsibility disclosure in Islamic banks: a comparative study of Indonesia and Malaysia," Journal of Financial Reporting and Accounting, Emerald Group Publishing Limited, vol. 15(1), pages 99-115, April.
    22. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    23. Amin Jan & Maran Marimuthu, 2016. "Bankruptcy Profile of Foreign versus Domestic Islamic Banks of Malaysia: A Post Crisis Period Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 332-346.
    24. Zakaria Ali Aribi & Simon S. Gao, 2011. "Narrative disclosure of corporate social responsibility in Islamic financial institutions," Managerial Auditing Journal, Emerald Group Publishing, vol. 27(2), pages 199-222, December.
    25. Anginer, Deniz & Demirguc-Kunt, Asli & Huizinga, Harry & Ma, Kebin, 2018. "Corporate governance of banks and financial stability," Journal of Financial Economics, Elsevier, vol. 130(2), pages 327-346.
    26. Abdul Aziz & David C. Emanuel & Gerald H. Lawson, 1988. "Bankruptcy Prediction ‐ An Investigation Of Cash Flow Based Models[1]," Journal of Management Studies, Wiley Blackwell, vol. 25(5), pages 419-437, September.
    27. 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.
    28. Martin, Daniel, 1977. "Early warning of bank failure : A logit regression approach," Journal of Banking & Finance, Elsevier, vol. 1(3), pages 249-276, November.
    29. Demyanyk, Yuliya & Hasan, Iftekhar, 2010. "Financial crises and bank failures: A review of prediction methods," Omega, Elsevier, vol. 38(5), pages 315-324, October.
    30. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    31. Alqahtani, Faisal & Mayes, David G., 2018. "Financial stability of Islamic banking and the global financial crisis: Evidence from the Gulf Cooperation Council," Economic Systems, Elsevier, vol. 42(2), pages 346-360.
    32. Wintoki, M. Babajide & Linck, James S. & Netter, Jeffry M., 2012. "Endogeneity and the dynamics of internal corporate governance," Journal of Financial Economics, Elsevier, vol. 105(3), pages 581-606.
    33. Altman, Edward I., 1984. "The success of business failure prediction models : An international survey," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 171-198, June.
    34. Amin Jan & Maran Marimuthu & Muhammad Kashif Shad & Haseeb ur-Rehman & Muhammad Zahid & Ahmad Ali Jan, 2019. "Bankruptcy profile of the Islamic and conventional banks in Malaysia: a post-crisis period analysis," Economic Change and Restructuring, Springer, vol. 52(1), pages 67-87, February.
    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. Amin Jan & Maran Marimuthu & Muhammad Kashif Shad & Haseeb ur-Rehman & Muhammad Zahid & Ahmad Ali Jan, 2019. "Bankruptcy profile of the Islamic and conventional banks in Malaysia: a post-crisis period analysis," Economic Change and Restructuring, Springer, vol. 52(1), pages 67-87, February.
    2. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    3. Şaban Çelik, 2013. "Micro Credit Risk Metrics: A Comprehensive Review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(4), pages 233-272, October.
    4. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    5. Amin Jan & Maran Marimuthu, 2016. "Bankruptcy Profile of Foreign versus Domestic Islamic Banks of Malaysia: A Post Crisis Period Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 332-346.
    6. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    7. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
    8. fernández, María t. Tascón & gutiérrez, Francisco J. Castaño, 2012. "Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 15(1), pages 7-58.
    9. Amin Jan & Maran Marimuthu & Muhammad Pisol bin @Mat Isa & Pia A. Albinsson, 2021. "Sustainability Practices and Banks Financial Performance: A Conceptual Review from the Islamic Banking Industry in Malaysia," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(11), pages 1-61, July.
    10. Fayçal Mraihi & Inane Kanzari & Mohamed Tahar Rajhi, 2015. "Development of a Prediction Model of Failure in Tunisian Companies: Comparison between Logistic Regression and Support Vector Machines," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 4(3), pages 184-205.
    11. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    12. Le, Hong Hanh & Viviani, Jean-Laurent, 2018. "Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios," Research in International Business and Finance, Elsevier, vol. 44(C), pages 16-25.
    13. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    14. Wolfgang K. Härdle & Rouslan A. Moro & Dorothea Schäfer, 2004. "Rating Companies with Support Vector Machines," Discussion Papers of DIW Berlin 416, DIW Berlin, German Institute for Economic Research.
    15. Fayçal Mraihi, 2016. "Distressed Company Prediction Using Logistic Regression: Tunisian’s Case," Quarterly Journal of Business Studies, Research Academy of Social Sciences, vol. 2(1), pages 34-54.
    16. Laitinen, Erkki K., 2007. "Classification accuracy and correlation: LDA in failure prediction," European Journal of Operational Research, Elsevier, vol. 183(1), pages 210-225, November.
    17. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    18. repec:ctc:sdimse:dime21_01 is not listed on IDEAS
    19. du Jardin, Philippe, 2012. "The influence of variable selection methods on the accuracy of bankruptcy prediction models," MPRA Paper 44383, University Library of Munich, Germany.
    20. Petr Jakubík & Petr Teplý, 2011. "The JT Index as an Indicator of Financial Stability of Corporate Sector," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 157-176.
    21. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.

    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:gam:jsusta:v:12:y:2020:i:8:p:3226-:d:346363. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.