Economic Change and Restructuring

, Volume 52, Issue 1, pp 67–87 | Cite as

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

  • Amin JanEmail author
  • Maran Marimuthu
  • Muhammad Kashif Shad
  • Haseeb ur-Rehman
  • Muhammad Zahid
  • Ahmad Ali Jan


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.


Bankruptcy forecasting Endogeneity Financial crisis Malaysian banking industry 

JEL classifications

G17 G21 G33 


  1. Acemoglu D, Johnson S, Robinson JA (2000) The colonial origins of comparative development: an empirical investigation. National Bureau of Economic Research, CambridgeCrossRefGoogle Scholar
  2. Adkins LC (2011) Using Stata for principles of econometrics. Wiley Global Education, HobokenGoogle Scholar
  3. Alhassan AL, Tetteh ML, Brobbey FO (2016) Market power, efficiency and bank profitability: evidence from Ghana. Econ Change Restruct 49(1):71–93CrossRefGoogle Scholar
  4. Alqahtani F, Mayes DG, Brown K (2016) Economic turmoil and islamic banking: evidence from the Gulf Cooperation Council. Pac Basin Finance J 39:44–56CrossRefGoogle Scholar
  5. Altman EI (1968) Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J Finance 23(4):589–609CrossRefGoogle Scholar
  6. Altman EI (1984) The success of business failure prediction models: an international survey. J Bank Finance 8(2):171–198CrossRefGoogle Scholar
  7. Altman EI (2000) Predicting financial distress of companies: revisiting the Z-score and ZETA models. Stern School of Business, New York University, New York, pp 9–12Google Scholar
  8. Altman EI, Haldeman RG, Narayanan P (1977) ZETA TM analysis a new model to identify bankruptcy risk of corporations. J Bank Finance 1(1):29–54CrossRefGoogle Scholar
  9. Altman EI, Hartzell J, Peck M (1998) Emerging market corporate bonds—a scoring system. Emerging market capital flows. Springer, Berlin, pp 391–400CrossRefGoogle Scholar
  10. Aziz A, Emanuel DC, Lawson GH (1988) Bankruptcy prediction-an investigation of cash flow based models. J Manage Stud 25(5):419–437CrossRefGoogle Scholar
  11. Bankapure DG, Soni S, Mandhane MS (2015) Comparative study of solvency position (bankruptcy analysis) of co-operative banks of jalna, parbhani, pune and mumbai cities, maharashtra, india by using z-score analysis. Editor Board 4(4):1Google Scholar
  12. Beaver WH (1966) Financial ratios as predictors of failure. J Account Res 4:71–111CrossRefGoogle Scholar
  13. Beck T, Demirgüç-Kunt A, Merrouche O (2013) Islamic vs. conventional banking: business model, efficiency and stability. J Bank Finance 37(2):433–447CrossRefGoogle Scholar
  14. Benini R, Liping H (2013) Special issue on China: re-thinking China’s economic transition and development in the post-crisis era. Econ Change Restruct 46(1):1–7CrossRefGoogle Scholar
  15. Blunch N-H, Sulla V (2014) World gone wrong: the financial crisis, labor market transitions and earnings in Serbia. Econ Change Restruct 47(3):187–226CrossRefGoogle Scholar
  16. Boďa M, Zimková E (2016) Malmquist index analysis of the recent development of the Slovak banking sector from two different angles. Econ Change Restruct 50:1–37Google Scholar
  17. Brown K (2003) Islamic banking comparative analysis. Arab Bank Rev 5(2):43–50Google Scholar
  18. C.A.—score (1987) A warning system for small business failures. Bilanas, pp 29–31Google Scholar
  19. Cameron AC, Trivedi PK (2009) Microeconometrics using stata, vol 5. Stata Press, College StationGoogle Scholar
  20. Cecchetti SG (2015) The road to financial stability: capital regulation, liquidity regulation, and resolution. Int J Cent Bank 11(3):127–139Google Scholar
  21. Chenhall RH, Moers F (2007) The issue of endogeneity within theory-based, quantitative management accounting research. Eur Account Rev 16(1):173–196CrossRefGoogle Scholar
  22. Chiaramonte L, Poli F, Zhou M (2016) How accurately can z-score predict bank failure? Financ Mark Inst Instrum 25(5):333–360CrossRefGoogle Scholar
  23. Chieng JR (2013) Verifying the validity of Altman’s Z” score as a predictor of bank failures in the case of the Eurozone. Submitted to the National College of IrelandGoogle Scholar
  24. Čihák M, Hesse H (2010) Islamic banks and financial stability: an empirical analysis. J Financ Serv Res 38(2–3):95–113CrossRefGoogle Scholar
  25. Deakin EB (1972) A discriminant analysis of predictors of business failure. J Account Res 10(1):167–179CrossRefGoogle Scholar
  26. Derbel H, Bouraoui T, Dammak N (2011) Can Islamic finance constitute a solution to crisis? Int J Econ Finance 3(3):p75CrossRefGoogle Scholar
  27. Dritsaki C, Dritsaki-Bargiota M (2005) The causal relationship between stock, credit market and economic development: an empirical evidence for Greece. Econ Change Restruct 38(1):113–127CrossRefGoogle Scholar
  28. Drukker DM (2003) Testing for serial correlation in linear panel-data models. Stata J 3(2):168–177CrossRefGoogle Scholar
  29. Elsinger H, Lehar A, Summer M (2006) Using market information for banking system risk assessment. Int J Cent Bank 02(01):138–165Google Scholar
  30. Greene WH (2003) Econometric analysis. Pearson Education India, LondonGoogle Scholar
  31. Hamdi B, Abdouli M, Ferhi A, Aloui M, Hammami S (2017) The stability of Islamic and conventional banks in the MENA region countries during the 2007–2012 financial crisis. J Knowl Econ. doi: 10.1007/s13132-017-0456-2
  32. Hamilton BH, Nickerson JA (2003) Correcting for endogeneity in strategic management research. Strateg Organ 1(1):51–78CrossRefGoogle Scholar
  33. Harbord RM, Whiting P (2009) Metandi: meta-analysis of diagnostic accuracy using hierarchical logistic regression. Stata J 9(2):211CrossRefGoogle Scholar
  34. Hashem SQ, Giudici P (2016) Systemic risk of conventional and Islamic banks: comparison with graphical network models. Appl Math 7(17):2079CrossRefGoogle Scholar
  35. Iman van Lelyveld FL (2006) Interbank contagion in the Dutch banking sector: a sensitivity analysis. Int J Cent Bank 2(2):100–133Google Scholar
  36. Jan A, Marimuthu M (2015a) Bankruptcy and sustainability: a conceptual review on Islamic banking industry. Glob Bus Manag Res Int J Account Finance 7(1):109–138Google Scholar
  37. Jan A, Marimuthu M (2015b) Altman model and bankruptcy profile of islamic banking industry: a comparative analysis on financial performance. Int J Bus Manag 10(7):p110CrossRefGoogle Scholar
  38. Jan A, Marimuthu M (2015c) Sustainability profile of islamic banking industry: evidence from world top five islamic banking countries. Int J Econ Finance 7(5):p125CrossRefGoogle Scholar
  39. Jan A, Marimuthu M (2016) Bankruptcy profile of foreign vs. domestic islamic banks of malaysia: a post crisis period analysis. Int J Econ Financ Issues 6(1):332–346Google Scholar
  40. Jeucken MH, Bouma JJ (1999) The changing environment of banks. Greener Manag Int 1999(27):20–35CrossRefGoogle Scholar
  41. Karim BA, Lee WS, Karim ZA, Jais M (2012) The impact of subprime mortgage crisis on Islamic banking and Islamic stock market. Proced Soc Behav Sci 65:668–673CrossRefGoogle Scholar
  42. Kumar PR, Ravi V (2007) Bankruptcy prediction in banks and firms via statistical and intelligent techniques–a review. Eur J Oper Res 180(1):1–28CrossRefGoogle Scholar
  43. Kusuma H, Ayumardani A (2016) The corporate governance efficiency and Islamic bank performance: an Indonesian evidence. Pol J Manag Stud 13(1):111–120CrossRefGoogle Scholar
  44. Mamo AQ (2011) Applicability of Altman (1968) model in predicting financial distress of commercial banks in Kenya. University of Nairobi, NairobiGoogle Scholar
  45. Ohlson JA (1980) Financial ratios and the probabilistic prediction of bankruptcy. J Account Res 18(1):109–131CrossRefGoogle Scholar
  46. Olson D, Zoubi TA (2011) Efficiency and bank profitability in MENA countries. Emerg Mark Rev 12(2):94–110CrossRefGoogle Scholar
  47. Olson D, Zoubi T (2016) Convergence in bank performance for commercial and Islamic banks during and after the Global Financial Crisis. Q Rev Econ Finance 65:71–87CrossRefGoogle Scholar
  48. Pruteanu-Podpiera A, Podpiera J (2008) The Czech transition banking sector instability: the role of operational cost management. Econ Change Restruct 41(3):209CrossRefGoogle Scholar
  49. Roberts MR, Whited TM (2012) Endogeneity in empirical corporate finance. University of Rochester, William E. Somon Graduate School of Business Administration,
  50. Safiullah M (2010) Superiority of conventional banks & Islamic banks of Bangladesh: a comparative study. Int J Econ Finance 2(3):p199CrossRefGoogle Scholar
  51. Sharma N (2013) Altman model and financial soundness of Indian banks. Int J Account Finance 3:55–60Google Scholar
  52. Shumway T (2001) Forecasting bankruptcy more accurately: a simple hazard model. J Bus 74(1):101–124CrossRefGoogle Scholar
  53. Singh H, Singh BP (2013) An effective & resourceful contribution of green banking towards sustainability. Int J Adv Eng Sci Technol 1(2):41–45Google Scholar
  54. Sorwar G, Pappas V, Pereira J, Nurullah M (2016) To debt or not to debt: are Islamic banks less risky than conventional banks? J Econ Behav Organ 132:113–126CrossRefGoogle Scholar
  55. Springate GLV (1978) Predicting the possibility of failure in a Canadian firm. Unpublished M.B.A. Research Project, Simon Fraser University, January 1978Google Scholar
  56. Swamy V (2014) Testing the interrelatedness of banking stability measures. J Financ Econ Policy 6(1):25–45CrossRefGoogle Scholar
  57. Trad N, Trabelsi MA, Goux JF (2017) Risk and profitability of Islamic banks: a religious deception or an alternative solution? Eur Res Manag Bus Econ 23(1):40–45CrossRefGoogle Scholar
  58. Wintoki MB, Linck JS, Netter JM (2012) Endogeneity and the dynamics of internal corporate governance. J Financ Econ 105(3):581–606CrossRefGoogle Scholar
  59. Young E (2016) World Islamic banking competitiveness report 2016. New realities new opportunitiesGoogle Scholar
  60. Zmijewski ME (1984) Methodological issues related to the estimation of financial distress prediction models. J Account Res 22:59–82CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Management and HumanitiesUniversiti Teknologi PetronasTeronohMalaysia
  2. 2.COMSATS Virtual CampusIslamabadPakistan

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