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Capital and Earnings Management: Evidence from Alternative Banking Business Models

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  • Elnahass, Marwa
  • Izzeldin, Marwan
  • Steele, Gerald

Abstract

This paper examines whether institutional characteristics distinguishing Islamic from conventional banks lead to distinctive capital and earnings management behavior through the use of loan loss provisions. In our sample countries, the two banking sectors operate under different regulatory frameworks: conventional banks currently apply the “incurred” loan loss model until 2018 whereas Islamic banks mandatorily adopt an “expected” loan loss model. Our results provide significant evidence of capital and earnings management practices via loan loss provisions in conventional banks. This finding is more prominent for large and loss-generating banks. By contrast, Islamic banks tend not to use loan loss provisions in either capital or earnings management, irrespective of the bank's size, earnings profile, or the structure of their loan loss model. This difference may be attributed to the constrained business model of Islamic banking, strict governance, and ethical orientation.

Suggested Citation

  • Elnahass, Marwa & Izzeldin, Marwan & Steele, Gerald, 2018. "Capital and Earnings Management: Evidence from Alternative Banking Business Models," The International Journal of Accounting, Elsevier, vol. 53(1), pages 20-32.
  • Handle: RePEc:eee:accoun:v:53:y:2018:i:1:p:20-32
    DOI: 10.1016/j.intacc.2018.02.002
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    2. Abdelsalam, Omneya & Elnahass, Marwa & Batten, Jonathan A. & Mollah, Sabur, 2021. "New insights into bank asset securitization: The impact of religiosity," Journal of Financial Stability, Elsevier, vol. 54(C).
    3. Alharbi, Rana & Elnahass, Marwa & McLaren, Josie, 2022. "Women directors and market valuation: What are the “Wonder Woman” attributes in banking?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    4. Abdelsalam, Omneya & Elnahass, Marwa & Ahmed, Habib & Williams, Julian, 2022. "Asset securitizations and bank stability: Evidence from different banking systems," Global Finance Journal, Elsevier, vol. 51(C).
    5. Elnahass, Marwa & Salama, Aly & Trinh, Vu Quang, 2022. "Firm valuations and board compensation: Evidence from alternative banking models," Global Finance Journal, Elsevier, vol. 51(C).
    6. Marwa Elnahass & Kamil Omoteso & Aly Salama & Vu Quang Trinh, 2020. "Differential market valuations of board busyness across alternative banking models," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 201-238, July.
    7. Marwa Elnahass & Mohamed Marie & Mohammed Elgammal, 2022. "Terrorist attacks and bank financial stability: evidence from MENA economies," Review of Quantitative Finance and Accounting, Springer, vol. 59(1), pages 383-427, July.
    8. Alessandro Mechelli & Riccardo Cimini, 2021. "The effect of corporate governance and investor protection environments on the value relevance of new accounting standards: the case of IFRS 9 and IAS 39," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1241-1266, December.
    9. Vu Quang Trinh & Marwa Elnahass & Aly Salama, 2021. "Board busyness and new insights into alternative bank dividends models," Review of Quantitative Finance and Accounting, Springer, vol. 56(4), pages 1289-1328, May.
    10. Amal Alabbad & Andrea Schertler, 2022. "COVID-19 and bank performance in dual-banking countries: an empirical analysis," Journal of Business Economics, Springer, vol. 92(9), pages 1511-1557, November.
    11. Elnahass, Marwa & Trinh, Vu Quang & Li, Teng, 2021. "Global banking stability in the shadow of Covid-19 outbreak," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).

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    More about this item

    Keywords

    IFRS; Regulatory capital management; Earnings management; Expected loan losses; Incurred loan losses;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General
    • M4 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting

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