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

Exploring the role of corruption and money laundering (ML) on banking profitability and... The purpose of this paper is to address the effect of corruption and money laundering (ML) on banking profitability and stability.Design/methodology/approachThis 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.FindingsThis 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 implicationsThe 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/valueAs 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Money Laundering Control Emerald Publishing

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

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1368-5201
eISSN
1368-5201
DOI
10.1108/jmlc-07-2020-0082
Publisher site
See Article on Publisher Site

Abstract

The purpose of this paper is to address the effect of corruption and money laundering (ML) on banking profitability and stability.Design/methodology/approachThis 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.FindingsThis 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 implicationsThe 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/valueAs 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.

Journal

Journal of Money Laundering ControlEmerald Publishing

Published: Jul 23, 2021

Keywords: Corruption; Money laundering; Banking profitability; Banking stability; Pakistan; Malaysia; C33; D73; G21; G28; G32

References