The latent factors of money laundering risk: A cross-national study

Thesis type
(Project) M.A.
Date created
2020-12-15
Authors/Contributors
Author: Nusky, Arkam
Abstract
I present a new perspective on 'money laundering,' understanding it from a risk perspective using confirmatory factor analysis (CFA). I initially discuss the models studied so far in the money laundering and anti-money laundering literature, pointing out their shortcomings. I then set up my CFA model to identify the hidden factors of money laundering risk using observed variables across 203 countries. I compare my model with a competing data configuration proposed by the Basel Institute on Governance. I present a comprehensive application of CFA to understand how to combat money laundering risk and touch on the role of structural equation modelling in anti-money laundering policy-making. Using this method, I illustrate the hidden dimensions of money laundering risk. My findings will be useful for anti-money laundering policy experts around the world.
Document
Identifier
etd21220
Copyright statement
Copyright is held by the author(s).
Permissions
This thesis may be printed or downloaded for non-commercial research and scholarly purposes.
Supervisor or Senior Supervisor
Thesis advisor: Hira, Anil
Language
English
Member of collection
Attachment Size
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