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Bankruptcy profile of the Islamic and conventional banks in Malaysia: a post-crisis period analysis

Author

Listed:
  • Amin Jan

    (Universiti Teknologi Petronas)

  • Maran Marimuthu

    (Universiti Teknologi Petronas)

  • Muhammad Kashif Shad

    (Universiti Teknologi Petronas)

  • Haseeb ur-Rehman

    (Universiti Teknologi Petronas)

  • Muhammad Zahid

    (Universiti Teknologi Petronas)

  • Ahmad Ali Jan

    (COMSATS Virtual Campus)

Abstract

This study identified that accounting for endogeneity in bankruptcy forecasting models have been widely over-sighted. This study used Altman’s bankruptcy forecasting model to examine bankruptcy rates of the Islamic and conventional banks in Malaysia. Data for this study were collected from the post-crisis period 2009–2013. The results showed that the Islamic banks in Malaysia were more bankrupt as compared to the conventional banks. Hence, the claim of Islamic banks is in the stark contrast to the phenomena of being more shock-resilient to the financial crisis due to their Shariah compliance. Furthermore, the results of multiple regression analysis indicated that profitability possesses the highest explanatory power in reducing bankruptcy. However, the statistical tests Wu-Hausman and Durbin-Score identified profitability as an endogenous variable in Altman’s model, which this study addressed with an instrumental variable. Thus, this study draws a conclusion that consideration of endogeneity in bankruptcy forecasting is essential, or else the results could be misleading. The results of the study lend credence to the researchers, policy-makers, and practitioners for accurate bankruptcy forecasting.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:ecopln:v:52:y:2019:i:1:d:10.1007_s10644-017-9220-7
    DOI: 10.1007/s10644-017-9220-7
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    1. Olson, Dennis & Zoubi, Taisier A., 2011. "Efficiency and bank profitability in MENA countries," Emerging Markets Review, Elsevier, vol. 12(2), pages 94-110, June.
    2. Alqahtani, Faisal & Mayes, David G. & Brown, Kym, 2016. "Economic turmoil and Islamic banking: Evidence from the Gulf Cooperation Council," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 44-56.
    3. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    4. Anca Pruteanu-Podpiera & Jiří Podpiera, 2008. "The Czech transition banking sector instability: the role of operational cost management," Economic Change and Restructuring, Springer, vol. 41(3), pages 209-219, September.
    5. Trad, Naama & Trabelsi, Mohamed Ali & Goux, Jean François, 2017. "Risk And Profi Tability Of Islamic Banks: A Religious Deception Or An Alternative Solution?," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 23(1), pages 40-45.
    6. 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.
    7. Asli Demirguk-Kunt & Thorsten Beck & Ouarda Merrouche, 2013. "Islamic Banking versus Conventional Banking: Business model, Efficiency, and Stability," Post-Print hal-01638080, HAL.
    8. Robert H. Chenhall & Frank Moers, 2007. "The Issue of Endogeneity within Theory-Based, Quantitative Management Accounting Research," European Accounting Review, Taylor & Francis Journals, vol. 16(1), pages 173-196.
    9. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    10. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    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. Vighneswara Swamy, 2014. "Testing the interrelatedness of banking stability measures," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 6(1), pages 25-45, April.
    13. Sorwar, Ghulam & Pappas, Vasileios & Pereira, John & Nurullah, Mohamed, 2016. "To debt or not to debt: Are Islamic banks less risky than conventional banks?," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 113-126.
    14. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    15. Naama Trad & Mohamed Ali Trabelsi & Jean-François Goux, 2017. "Risk and profitability of Islamic banks: A religious deception or an alternative solution?," Post-Print halshs-01421357, HAL.
    16. 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.
    17. David M. Drukker, 2003. "Testing for serial correlation in linear panel-data models," Stata Journal, StataCorp LP, vol. 3(2), pages 168-177, June.
    18. Iman van Lelyveld & Franka Liedorp, 2006. "Interbank Contagion in the Dutch Banking Sector: A Sensitivity Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 2(2), May.
    19. Helmut Elsinger & Alfred Lehar & Martin Summer, 2006. "Using Market Information for Banking System Risk Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 2(1), March.
    20. Beck, Thorsten & Demirgüç-Kunt, Asli & Merrouche, Ouarda, 2013. "Islamic vs. conventional banking: Business model, efficiency and stability," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 433-447.
    21. 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.
    22. Roger M. Harbord & Penny Whiting, 2009. "metandi: Meta-analysis of diagnostic accuracy using hierarchical logistic regression," Stata Journal, StataCorp LP, vol. 9(2), pages 211-229, June.
    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. Stephen G. Cecchetti, 2015. "The Road to Financial Stability: Capital Regulation, Liquidity Regulation, and Resolution," International Journal of Central Banking, International Journal of Central Banking, vol. 11(3), pages 127-139, June.
    25. 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.
    26. 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.
    27. Abdul Alhassan & Michael Tetteh & Freeman Brobbey, 2016. "Market power, efficiency and bank profitability: evidence from Ghana," Economic Change and Restructuring, Springer, vol. 49(1), pages 71-93, February.
    28. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    29. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    30. 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.
    31. 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.
    32. Abdul Latif Alhassan & Michael Lawer Tetteh & Freeman Owusu Brobbey, 2016. "Market power, efficiency and bank profitability: evidence from Ghana," Economic Change and Restructuring, Springer, vol. 49(1), pages 71-93, February.
    33. Niels-Hugo Blunch & Victor Sulla, 2014. "World gone wrong: the financial crisis, labor market transitions and earnings in Serbia," Economic Change and Restructuring, Springer, vol. 47(3), pages 187-226, August.
    34. Roberta Benini & He Liping, 2013. "Special issue on China: Re-thinking China’s economic transition and development in the post-crisis era," Economic Change and Restructuring, Springer, vol. 46(1), pages 1-7, March.
    35. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    36. Hadri Kusuma & Ariza Ayumardani, 2016. "The Corporate Governance Efficiency And Islamic Bank Performance : An Indonesian Evidence," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 13(1), pages 111-120, June.
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    Cited by:

    1. 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.
    2. Amin Jan & Maran Marimuthu & Rohail Hassan & Mehreen, 2019. "Sustainable Business Practices and Firm’s Financial Performance in Islamic Banking: Under the Moderating Role of Islamic Corporate Governance," Sustainability, MDPI, vol. 11(23), pages 1-25, November.
    3. Siti Hajar Binti Mohd Abd Khar & Muhammad Pisol bin Mohd Mat Isa & Maran Marimuthu & Amin Jan, 2019. "The Perception of Micro-Entrepreneurs towards the Adoption of an Islamic Equity-Based Financing: Evidence from Malaysia," Business Management and Strategy, Macrothink Institute, vol. 10(2), pages 97-107, December.

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