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Posts tagged Criminals
Money Laundering as a Service: Investigating Business‑Like Behavior in Money Laundering Networks in the Netherlands

By Jo‑Anne Kramer,  Arjan A. J. Blokland, ·Edward R. Kleemans, Melvin R. J. Soudijn

In order to launder large amounts of money, (drug) criminals can seek help from financial facilitators. According to the FATF, these facilitators are operating increasingly business like and even participate in professional money laundering networks. This study examines the extent to which financial facilitators in the Netherlands exhibit business-like charac teristics and the extent to which they organize themselves in money laundering networks. We further examine the relationship between business-like behavior and individual money launderers’ position in the social network. Using police intelligence data, we were able to analyze the contacts of 198 financial facilitators who were active in the Netherlands in the period 2016–2020, all having worked for drug criminals. Based on social network analysis, this research shows that financial facilitators in the Netherlands can be linked in extensive money laundering networks. Based on the facilitators’ area of expertise, roughly two main types of professional money laundering networks can be discerned. Some subnetworks operate in the real estate sector, while others primarily engage in underground banking. Furthermore, the application of regression models to predict business-like behavior using individual network measures shows that facilitators with more central positions in the net work and those who collaborate with financial facilitators from varying expertise groups tend to behave more business-like than other financial facilitators

Kramer JA, Blokland AAJ, Kleemans ER & Soudijn MRJ 2023. Money laundering as a service: Investigating business-like behavior in money laundering networks in the Netherlands. Trends in Organized Crime.

Estimating Money Laundering Flows with a Gravity Model‑Based Simulation 

By Joras Ferwerda, Alexander van Saase, Brigitte Unger & Michael Getzner

 It is important to understand the amounts and types of money laundering flows, since they have very different effects and, therefore, need different enforcement strategies. Countries that mainly deal with criminals laundering their proceeds locally, need other measures than countries that mainly deal with foreign illegal investments or dirty money just flowing through the country. This paper has two main contributions. First, we unveil the country preferences of money launderers empirically in a systematic way. Former money laundering estimates used assumptions on which country characteristics money launderers are looking for when deciding where to send their ill‑gotten gains. Thanks to a unique dataset of transactions suspicious of money laundering, provided by the Dutch Institute infobox Criminal and Unexplained Wealth (iCOV), we can empirically test these assumptions with an econometric gravity model estimation. We use this information for our second contribution: iteratively simulating all money laundering flows around the world. This allows us, for the first time, to provide estimates that distinguish between three different policy challenges: the laundering of domestic crime proceeds, international investment of dirty money and money just flowing through a country  

Ferwerda J, van Saase A, Unger B & Getzner M 2020. Estimating money laundering flows with a gravity model-based simulation. Scientific Reports 10(1).