Investigating the determinants of money laundering risk

IF 1.3 Q3 CRIMINOLOGY & PENOLOGY Journal of Money Laundering Control Pub Date : 2023-03-07 DOI:10.1108/jmlc-01-2023-0001
Yaseen Ghulam, Blandina Szalay
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引用次数: 3

Abstract

Purpose With the growing interconnectedness of global markets brought about by globalization and technological innovation, there is a heightened worldwide risk of money laundering, posing a considerable negative impact on economies and social equality. Therefore, the primary purpose of this research is to examine factors that underpin the pervasiveness of money laundering risk. Design/methodology/approach By using a cross-section sample of 84 countries, the study uses ordered logit and multinomial logit regression to test and explain the role of main and varied determinants of money laundering risk covering countries’ economic, social, regulatory and corporate environment. Findings The authors conclude that, overall, the macroeconomic indicators are less relevant in influencing money laundering risk than the other factors adopted from the Basel report. Nonetheless, the volume of exports and the exchange rate were robust in both the ordered and multinomial regression analyses alongside financial secrecy, auditing standards and corporate transparency. While more financial secrecy and a higher volume of exports were found to increase this risk, the other variables showed a negative relationship. The authors further conclude that it is mostly less secrecy, more transparency and better auditing that could gradually transform a high-risk country into medium risk. Practical implications This study recommends the implementation of publicly accessible ownership registries to address the issues around secrecy, transparency and auditing misconducts. Additionally, the general strengthening of laws and policies in these three domains is also necessary alongside the application of current technologies, such as machine learning, for the detection of money laundering. Originality/value The authors believe this study uses advanced econometric techniques rarely used in the literature on money laundering. Separating the impact of economic and social/regulatory is also valuable
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调查洗钱风险的决定因素
随着全球化和技术创新带来的全球市场相互联系日益紧密,全球范围内的洗钱风险加剧,对经济和社会平等造成相当大的负面影响。因此,本研究的主要目的是研究支撑洗钱风险普遍存在的因素。设计/方法/方法通过使用84个国家的横截面样本,该研究使用有序logit和多项logit回归来检验和解释洗钱风险的主要和不同决定因素的作用,这些决定因素涵盖了各国的经济、社会、监管和企业环境。作者的结论是,总体而言,宏观经济指标在影响洗钱风险方面的相关性低于巴塞尔报告中采用的其他因素。尽管如此,在有序回归分析和多项回归分析中,出口数量和汇率以及金融保密、审计标准和公司透明度都表现强劲。虽然发现更多的金融保密和更高的出口量增加了这种风险,但其他变量显示出负相关关系。这组作者进一步得出结论,减少保密、提高透明度和改进审计,可以逐渐将高风险国家转变为中等风险国家。实际意义本研究建议实施可公开访问的所有权登记制度,以解决保密、透明度和审计不当行为等问题。此外,这三个领域的法律和政策也有必要普遍加强,同时应用机器学习等现有技术来检测洗钱。原创性/价值作者认为,本研究使用了在洗钱文献中很少使用的先进计量经济学技术。将经济和社会/监管的影响分开也很有价值
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来源期刊
Journal of Money Laundering Control
Journal of Money Laundering Control CRIMINOLOGY & PENOLOGY-
CiteScore
2.70
自引率
27.30%
发文量
59
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