AML compliance congestion as a factor in trade-based money laundering

Purpose The purpose of this paper is to examine whether, and under what conditions, the expansion of anti-money-laundering (AML) compliance requirements can reduce effective enforcement against trade-based money laundering (TBML) through investigative capacity constraints, evidential decay and strategic adversarial adaptation. Design/methodology/approach A reduced-form theoretical model is developed using an M/G/m queueing framework with exponential evidential decay, endogenous threshold-based triage and strategic laundering behaviour. Comparative statics analyse the sensitivity of the results to evidential decay, splitting costs, attention dilution and cognitive capacity. Findings Increasing compliance intensity raises alert volume without proportionate capacity growth, generating congestion that degrades evidential quality and forces institutions into predictable triage. Rational launderers exploit these boundaries through splitting and bunching. The perverse effect is strongest when evidence decays rapidly, splitting is cheap and compliance expansion is extensive rather than informativeness-enhancing. Research limitations/implications The model is intentionally stylised, abstracts from institutional heterogeneity and cross-border coordination and does not attempt empirical calibration. Results describe short- to medium-run dynamics in which capacity adjustment lags regulatory expansion. Practical implications Results support shifting supervisory metrics from alert volume to time-to-action and confirmation rates, reducing the predictability of escalation thresholds, prioritising evidence preservation over scenario expansion and increasing per-transaction laundering costs through documentation requirements. Originality/value This paper formalises a mechanism – regulatory overload as a laundering enabler – widely observed in AML practice but not previously modelled. This study connects TBML to enforcement economics and queueing theory, identifying conditions under which compliance expansion becomes self-defeating.

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Publication Details

Journal
Journal of Financial Regulation and Compliance
Published
2026-07-24
DOI
https://doi.org/10.1108/jfrc-04-2026-0206
Primary Topic
Crime, Illicit Activities, and Governance
Type
article
Field-Weighted Citation Impact
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article

AML compliance congestion as a factor in trade-based money laundering

Konstantinos Likas
Journal of Financial Regulation and Compliance
Crime, Illicit Activities, and Governance
article

AML compliance congestion as a factor in trade-based money laundering

Konstantinos Likas
article en

Abstract

Purpose The purpose of this paper is to examine whether, and under what conditions, the expansion of anti-money-laundering (AML) compliance requirements can reduce effective enforcement against trade-based money laundering (TBML) through investigative capacity constraints, evidential decay and strategic adversarial adaptation. Design/methodology/approach A reduced-form theoretical model is developed using an M/G/m queueing framework with exponential evidential decay, endogenous threshold-based triage and strategic laundering behaviour. Comparative statics analyse the sensitivity of the results to evidential decay, splitting costs, attention dilution and cognitive capacity. Findings Increasing compliance intensity raises alert volume without proportionate capacity growth, generating congestion that degrades evidential quality and forces institutions into predictable triage. Rational launderers exploit these boundaries through splitting and bunching. The perverse effect is strongest when evidence decays rapidly, splitting is cheap and compliance expansion is extensive rather than informativeness-enhancing. Research limitations/implications The model is intentionally stylised, abstracts from institutional heterogeneity and cross-border coordination and does not attempt empirical calibration. Results describe short- to medium-run dynamics in which capacity adjustment lags regulatory expansion. Practical implications Results support shifting supervisory metrics from alert volume to time-to-action and confirmation rates, reducing the predictability of escalation thresholds, prioritising evidence preservation over scenario expansion and increasing per-transaction laundering costs through documentation requirements. Originality/value This paper formalises a mechanism – regulatory overload as a laundering enabler – widely observed in AML practice but not previously modelled. This study connects TBML to enforcement economics and queueing theory, identifying conditions under which compliance expansion becomes self-defeating.

Journal of Financial Regulation and Compliance
University of Piraeus (GR)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Crime, Illicit Activities, and Governance
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