A microeconomic foundation for optimal money laundering policies

Information and communication technologies, artificial intelligence, and the fight against money laundering in Africa

“…On the other hand, the fight against corruption and economic stability maintenance have significantly adverse effects on ML. This adds to Imanpour et al's (2019) results, highlighting the decisive role of “dishonest agents” in the ML process. The fight against corruption and the maintenance of political stability improve AML/CFT policies' effectiveness in this perspective.…”

“…To capture the microeconomic foundations of optimal ML policies, Imanpour et al (2019) propose an analysis based on game theory. While highlighting the dilemma of choosing the legal market and the crime market when seeking employment, they emphasize the importance of corruption through “dishonest” agents' involvement in the laundering process.…”

“…To capture the microeconomic foundations of optimal ML policies, Imanpour et al (2019) propose an analysis based on game theory.…”

“…On the other hand, criminals form links with other criminals or dishonest financial sector workers to launder their criminal proceeds, but at the risk that their ML operation will be detected (Imanpour et al, 2019). In this sense, the collision between money launderers and financial and control sector agents appears relevant in the laundering process.…”

“…In this vein, ICTs that expose the financial sector to financial crime could also be a powerful tool in the fight against ML. However, implementing an effective policy from this perspective, beyond political will, requires an optimal budgetary allocation to finance the various strategic operations (Gaigné & et Zenou, 2015; Imanpour, Rosenkranz, Westbrock, Unger, & Ferwerda, 2019). AML/CFT is part of the state's regalia role of ensuring its security.…”