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Exploring the role of corruption and money laundering (ML) on banking profitability and stability: a study of Pakistan and Malaysia

Author

Listed:
  • Qamar Uz Zaman
  • Kinza Aish
  • Waheed Akhter
  • Syed Anees Haidder Zaidi

Abstract

Purpose - The purpose of this paper is to address the effect of corruption and money laundering (ML) on banking profitability and stability. Design/methodology/approach - This study uses the panel data of 72 banks of Pakistan and Malaysia from 2012–2018. This paper uses fixed effect (FE) and random effect (RE) regression techniques for empirical testing and generalized methods of moment (GMM) technique for robustness tests. Findings - This study founds consistent evidence that corruption has a positive and ML has a negative relationship with the banking profitability of Pakistan and Malaysia while the empirical evidence suggests that corruption and ML have a diverse impact on the banking stability of Pakistan and Malaysia. Further, this paper also founds that corruption and ML moderates the relationship between risk and banking profitability and stability. Practical implications - The results reveal that the banks of the highly corrupt environment are more affected by corruption and ML than the least corrupt environment. Thus, it is recommended that the Government of Pakistan should formulate strong anti-corruption and anti-money laundering policies. Originality/value - As per the knowledge of the authors, this research contributes to understanding the role of corruption and money laundering on the stability and profitability of Pakistan and, in general, it is the first attempt investigating the moderating role of corruption and ML between risk and banking profitability and stability.

Suggested Citation

  • Qamar Uz Zaman & Kinza Aish & Waheed Akhter & Syed Anees Haidder Zaidi, 2020. "Exploring the role of corruption and money laundering (ML) on banking profitability and stability: a study of Pakistan and Malaysia," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 24(3), pages 525-543, November.
  • Handle: RePEc:eme:jmlcpp:jmlc-07-2020-0082
    DOI: 10.1108/JMLC-07-2020-0082
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    More about this item

    Keywords

    Corruption; Money laundering; Banking profitability; Banking stability; Pakistan; Malaysia; C33; D73; G21; G28; G32;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • 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
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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