Abstract
Purpose This paper formulates a microeconomic model to investigate the effects of current anti-money laundering (AML) regulations. The model is motivated by the requirement that banks undertake risk-based transaction monitoring, using “risk signals” to separate benevolent bank clients and money launderers. Design/methodology/approach This paper uses methodology from the functional school of law and economics, holding that structural forces may hinder the development of efficient legal rules. The goal is to offer economic insights to address inefficiencies at a meta-level. Assuming money launderers have specific preferences and strategies, the paper models how they hide their activities. This allows us to investigate how money launderers respond to external shocks and policy changes. Findings As money launderers use resources to hide their activities, this paper finds several noteworthy effects. For instance, increasing criminal penalties may decrease the amount of money laundering that is detected. Furthermore, wealthy money launderers may rarely be detected. Research limitations/implications This paper only presents theoretical results. Originality/value The academic literature on AML is still relatively limited. This paper’s results suggest regulators should be aware of unintended and potentially adverse effects of current regulation.
Published Version
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