CEU Electronic Theses and Dissertations, 2019
| Author | Goodrich, Ian Edward |
|---|---|
| Title | Mapping the laundromat: A network analysis of money laundering in the United Kingdom |
| Summary | Money laundering enables crime, saps public resources, and undermines the state in rich and poor countries alike. Investigations into money laundering, once traditionally the domain of government, financial institutions and international bodies, are increasingly being undertaken by journalists, NGOs and academics. Using the case study of the United Kingdom, this study explores the use of network analysis for the study money laundering using open data. Using a custom-built Python module, this study analyses money laundering risk in over 2,000 corporate networks and 130,000 companies from the UK Companies House registry. At the company level, it finds that high risk companies may be younger and more likely to use the Limited Liability Partnership structure. At a network level, it provides tentative evidence that companies used for money laundering may cluster with other such companies, and that network size and triangular graph structures may have potential for use in risk prediction using open data. |
| Supervisor | Mihály Fazekas |
| Department | School of Public Policy MA |
| Full text | https://www.etd.ceu.edu/2019/goodrich_ian.pdf |
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