Purpose

This paper aims to examine the impact of corruption and money laundering (ML) on the profitability and stability of Islamic banks.

Design/methodology/approach

This study used the data of 53 conventional and 19 Islamic banks of Pakistan and Malaysia to have comparative insights. The empirical methods include the fixed effect and random effect regression and generalized methods of moment for robust results.

Findings

The results indicate that Islamic banks gain from corruption and ML. Corruption and ML affect bank profitability and stability positively in a less corrupt environment, i.e. Malaysia; however, corruption hurts Islamic banks’ performance, and ML favours Islamic banking profitability and stability in a more corrupt environment, i.e. Pakistan.

Originality/value

The present study pioneers the debate on corruption and ML related to Islamic banking profitability and stability. This study provides important insights to regulators and Shariah advisors to build a real model of Islamic banking.

中文翻译：

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伊斯兰银行是否从腐败和洗钱 (ML) 中获利？

目的

本文旨在研究腐败和洗钱 (ML) 对伊斯兰银行盈利能力和稳定性的影响。

设计/方法/方法

本研究使用巴基斯坦和马来西亚的 53 家传统银行和 19 家伊斯兰银行的数据进行对比分析。经验方法包括固定效应和随机效应回归以及矩量的广义方法以获得稳健的结果。

发现

结果表明，伊斯兰银行从腐败和机器学习中获益。在腐败程度较低的环境（即马来西亚）中，腐败和机器学习对银行盈利能力和稳定性产生积极影响；然而，腐败损害了伊斯兰银行的业绩，而 ML 有利于伊斯兰银行在更腐败的环境（即巴基斯坦）中的盈利能力和稳定性。

原创性/价值

本研究开创了关于与伊斯兰银行盈利能力和稳定性相关的腐败和机器学习的辩论。这项研究为监管机构和伊斯兰教法顾问提供了重要的见解，以建立一个真正的伊斯兰银行业务模型。