RT Article
T1 Estimating money laundering risks: an application to business sectors in the Netherlands
JF European journal on criminal policy and research
VO 25
IS 1
SP 45
OP 62
A1 Ferwerda, Joras 1984-
A2 Kleemans, Edward R. 1967-
LA English
YR 2019
UL https://krimdok.uni-tuebingen.de/Record/166627142X
AB Current money laundering policies often rely on the same prescribed instruments for many business sectors. For ‘risk based’ policies, however, it is important to know in which business sectors money laundering risks are relatively higher. This paper builds upon work conducted as part of Identifying and Assessing the Risk of Money Laundering in Europe (IARM) project and focuses on money laundering risk assessment in the Netherlands. In this paper, we discuss theoretically and empirically how these risks can be estimated and we present results based on data regarding business sectors in the Netherlands. The used risk factors include data on organised crime investments, beneficial owners, and confidential information from the Dutch Tax Office on anomalies in tax declarations by companies. Our results indicate that casinos, hotels, and the art and entertainment sector have the highest money laundering risks in the Netherlands.
K1 Money laundering
K1 Risk assessment
K1 Principal component analysis
K1 Organized crime
K1 Geldwäsche
K1 Organisiertes Verbrechen
K1 Risikoeinschätzung
K1 Geschäftbereiche
K1 Niederlande
DO 10.1007/s10610-018-9391-4