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Bankruptcy Profile of Foreign versus Domestic Islamic Banks of Malaysia: A Post Crisis Period Analysis

Author

Listed:
  • Amin Jan

    (Universti Teknologi Petronas, Malaysia)

  • Maran Marimuthu

    (Universti Teknologi Petronas, Malaysia,)

Abstract

After the 2007-2008 subprime financial crisis considering bankruptcy evaluation for the banking industry becomes vital. In line of that, this study aims to analyze the bankruptcy profile of foreign versus domestic Islamic banks operating in Malaysia. This study predicted 40% and 75% bankruptcy in the subjected samples of foreign and domestic Islamic banks of Malaysia respectively. However, the specific reason behind this variation in their bankruptcy rates is tagged with the significant difference in their liquidity ratio that is, 1.59 by foreign and 0.41 by the domestic Islamic banks sample. The ANOVA results revealed that, the sample of foreign and domestic Islamic banks of Malaysia do differ significantly on bankruptcy rates as well as on the top bankruptcy's predictors namely liquidity, profitability, and insolvency. However, the sample does not vary on productivity with regards to bankruptcy exposure. Furthermore, the regression results revealed that, liquidity, profitability, and insolvency ratios in the sample of domestic Islamic banks, while only insolvency ratio in the sample of foreign Islamic banks have a significant positive relationship with bankruptcy in Islamic banking industry of Malaysia. Moreover, in the context of identified bankruptcy rates, the analysis here is viable to witness the sustainability ratings possessed by the sample of foreign and domestic Islamic banks of Malaysia.

Suggested Citation

  • 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.
    • Handle: RePEc:eco:journ1:2016-01-43
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    References listed on IDEAS

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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. 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.
    3. 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.
    4. 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.

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    More about this item

    Keywords

    Bankruptcy; Sustainability; Foreign Islamic Banks; Domestic Islamic Banks; Financial Characteristics;
    All these keywords.

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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