money laundering thesis pdf

Please log in to DSpace

Problems Encountered in Money Laundering Investigations

PDF Version Also Available for Download.

Description

The purpose of this study is to identify how the U.S. is responding to money laundering and what kind of problems arise while countering it, beginning with a detailed description of money laundering, its stages, typologies, impacts, and complications. Due to the broad nature of this subject only three main issues form the focal point of this study: problems concerning the banking industry and other financial organizations, problems resulting from the limitations of law enforcement agencies, and problems arising from the lack of cooperation between and within financial institutions and law enforcement agencies. Several probable solutions to the above problems … continued below

Creation Information

Akyay, Ilkay August 2001.

This thesis is part of the collection entitled: UNT Theses and Dissertations and was provided by the UNT Libraries to the UNT Digital Library , a digital repository hosted by the UNT Libraries . It has been viewed 3199 times, with 9 in the last month. More information about this thesis can be viewed below.

People and organizations associated with either the creation of this thesis or its content.

• Akyay, Ilkay
• Caeti, Tory J. Major Professor
• Taylor, Robert W.

Committee Members

• Chilton, Bradley S.
• Hartman, David W.
• University of North Texas Place of Publication: Denton, Texas

Rights Holder

For guidance see Citations, Rights, Re-Use .

Provided By

Unt libraries.

The UNT Libraries serve the university and community by providing access to physical and online collections, fostering information literacy, supporting academic research, and much, much more.

Descriptive information to help identify this thesis. Follow the links below to find similar items on the Digital Library.

Degree Information

• Name: Master of Science
• Level: Master's
• Discipline: Criminal Justice
• Department: Department of Criminal Justice
• Grantor: University of North Texas

The purpose of this study is to identify how the U.S. is responding to money laundering and what kind of problems arise while countering it, beginning with a detailed description of money laundering, its stages, typologies, impacts, and complications. Due to the broad nature of this subject only three main issues form the focal point of this study: problems concerning the banking industry and other financial organizations, problems resulting from the limitations of law enforcement agencies, and problems arising from the lack of cooperation between and within financial institutions and law enforcement agencies. Several probable solutions to the above problems are identified: Considering the financial industry, there are loopholes in the Bank Secrecy Act (BSA) and in other regulations that apply to the industry. Thus, there is a comparison of the Subjective Model vs. Objective Model in terms of reporting systems for financial organizations. On the law enforcement side, the priority is the need to update and upgrade their technology and investigation mechanisms in order not to fall behind the criminals. Finally, cooperation is something that can be achieved through mutual respect and understanding of the priorities of each side, which can be achieved by the creation of an upper agency of whose members represent both sides of the combat efforts.

• Money laundering
• financial investigation
• money laundering control
• money laundering problems

Library of Congress Subject Headings

• Money laundering investigation -- United States.
• Thesis or Dissertation

Unique identifying numbers for this thesis in the Digital Library or other systems.

• OCLC : 51164460
• Archival Resource Key : ark:/67531/metadc2856

Collections

This thesis is part of the following collection of related materials.

UNT Theses and Dissertations

Theses and dissertations represent a wealth of scholarly and artistic content created by masters and doctoral students in the degree-seeking process. Some ETDs in this collection are restricted to use by the UNT community .

What responsibilities do I have when using this thesis?

Digital Files

• 178 image files available in multiple sizes
• 1 file (.pdf)
• Metadata API: descriptive and downloadable metadata available in other formats

Dates and time periods associated with this thesis.

Creation Date

• August 2001

Added to The UNT Digital Library

• Sept. 25, 2007, 10:20 p.m.

Description Last Updated

• Oct. 30, 2013, 1:07 p.m.

Usage Statistics

When was this thesis last used?

Interact With This Thesis

Here are some suggestions for what to do next.

Search Inside

• or search this site for other thesis or dissertations

Start Reading

• All Formats

Citations, Rights, Re-Use

• Citing this Thesis
• Responsibilities of Use
• Licensing and Permissions
• Linking and Embedding
• Copies and Reproductions

International Image Interoperability Framework

We support the IIIF Presentation API

Print / Share

Links for robots.

Helpful links in machine-readable formats.

Archival Resource Key (ARK)

• ERC Record: /ark:/67531/metadc2856/?
• Persistence Statement: /ark:/67531/metadc2856/??

International Image Interoperability Framework (IIIF)

• IIIF Manifest: /ark:/67531/metadc2856/manifest/

Metadata Formats

• UNTL Format: /ark:/67531/metadc2856/metadata.untl.xml
• DC RDF: /ark:/67531/metadc2856/metadata.dc.rdf
• DC XML: /ark:/67531/metadc2856/metadata.dc.xml
• OAI_DC : /oai/?verb=GetRecord&metadataPrefix=oai_dc&identifier=info:ark/67531/metadc2856
• METS : /ark:/67531/metadc2856/metadata.mets.xml
• OpenSearch Document: /ark:/67531/metadc2856/opensearch.xml
• Thumbnail: /ark:/67531/metadc2856/thumbnail/
• Small Image: /ark:/67531/metadc2856/small/
• In-text: /ark:/67531/metadc2856/urls.txt
• Usage Stats: /stats/stats.json?ark=ark:/67531/metadc2856

Akyay, Ilkay. Problems Encountered in Money Laundering Investigations , thesis , August 2001; Denton, Texas . ( https://digital.library.unt.edu/ark:/67531/metadc2856/ : accessed May 7, 2024 ), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu ; .

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

Enter the email address you signed up with and we'll email you a reset link.

• We're Hiring!
• Help Center

Artificial intelligence for anti-money laundering: a review and extension

Digital Finance

Related Papers

International Journal of Advance Research, Ideas and Innovations in Technology

Lahu Kamble

In today’s world, money laundering is a major issue, so there is a need to fight against money laundering. “Cleaning stolen money, making the source of money no longer exist, called Money Laundering” Financial transactions are huge so it is a challenging task to detect money laundering. As earlier AMLS ( Anti-Money Laundering Suite) was introduced to detect suspicious activities but it is applicable only on individual transactions not for a credit card transaction and other bank transactions. To Overcome these issues of AMLS we propose a Machine Learning method to identify common attributes and behavior with other bank account transactions and also identify suspicious transactions through credit cards. Detection of Money Laundering transaction from a large volume dataset is difficult, so we reduce the input dataset and then calculating the annual turnover of their credit card transfer set a max value which is to be transferred. Also, find a pair of the transaction with another bank...

Proceedings of ACL 2018, System Demonstrations

Utsab Barman

rama prasad

Fighting Money Laundering represents a noteworthy test for the monetary administrations industry and past. The United Nations Office on Drugs and Crime gauges that the yearly expense of tax evasion and related violations runs somewhere in the range of US$1.4 trillion to $3.5 trillion a year. Every day hostile to Anti Money laundering (AML) experts confront progressively complex dangers and are entrusted with breaking down a developing volume of information. However even as they endeavour to counter continuous dangers, they are overpowered with the large amounts of manual, monotonous, information serious errands that are wasteful and regularly neglect to upset criminal action. Positively AI can possibly empower a stage change in AML ability and give a way proportional and adjust to the cutting edge danger of tax evasion. However, in the meantime, numerous in the business are incredulous about the viability of AI arrangements and the degree to which AI could and ought to be confided in like human capacities. To completely investigate and understand the capability of AI, the money related administrations industry needs to all the more likely comprehend its capacities, dangers and confinements, and build up a moral structure through which the advancement and utilization of AI can be represented so these developing models can be demonstrated and at last trusted.

Journal of Money Laundering Control

Georgios Pavlidis

---NEW --- (June 2023) Purpose-This paper aims to critically examine the digital transformation of anti-money laundering (AML) and countering the financing of terrorism (CFT) in light of the Financial Action Task Force (FATF) San Jose principles, the Organisation for Economic Cooperation and Development (OECD) principles for artificial intelligence (AI) and the proposed European Union (EU) Artificial Intelligence Act. The authors argue that AI tools can revolutionize AML/CFT and asset recovery, but there is a need to strike a balance between optimizing AML efficiency and safeguarding fundamental rights. Design/methodology/approach-This paper draws on reports, legislation, legal scholarships and other open-source data on the digital transformation of AML/CFT, particularly the deployment of AI in this context. Findings-A new regulatory framework with robust safeguards is necessary to mitigate the risks associated with the use of new technologies in the AML context. Originality/value-This study is one of the first to examine the use of AI in the AML/CFT context in light of the FATF San Jose principles, the OECD AI principles and the proposed EU AI Act.

Ai Magazine

Jerry Wooton

VERMEULEN, Gert; PERšAK, Nina; RECCHIA, Niccola (eds.). Artificial Intelligence, Big Data and Automated Decision-Making in Criminal Justice, RIDP, v. 92, n.1, 2021.

Túlio F X Januário

This paper analyses the potential gains and eventual difficulties using autonomous systems – such as artificial intelligence (AI) mechanisms – to prevent, detect and investigate money laundering. As it is well-known, new technologies have been applied in the most varied social contexts, being no different in the case of the FIUs, especially when receiving and processing reports of suspicious activities from obligated entities. However, in addition to the already identified difficulties imposed by new technologies, the specific scope of money laundering presents particular challenges. Potential guidelines are proposed for a better interaction between AI and money laundering prosecution. For that, is is initially analysed what is effectively meant by AI and autonomous systems and how they are effectively used in this scope. Subsequently, some of the difficulties encountered in this context are demonstrated, ranging from insufficiency, low quality and inaccuracy of data that feed the systems, to the difficulties in understanding, explaining and allowing the refutation of the conclusions reached by them. From this analysis and through a deductive methodology, possible solutions are proposed that allow a better and more efficient interaction between humans and autonomous systems in the field of money laundering and its prosecution.

zeinab rouhollahi

Recently, financial institutes have been dealing with an increase in financial crimes. In this context, financial services firms started to improve their vigilance and use new technologies and approaches to identify and predict financial fraud and crime possibilities. This task is challenging as institutions need to upgrade their data and analytics capabilities to enable new technologies such as Artificial Intelligence (AI) to predict and detect financial crimes. In this paper, we put a step towards AI-enabled financial crime detection in general and money laundering detection in particular to address this challenge. We study and analyse the recent works done in financial crime detection and present a novel model to detect money laundering cases with minimum human intervention needs.

IEEE Access

Abdullah Alamri

International Journal of Advanced Computer Science and Applications

johrha alotibi

Prof Howard Chitimira

Money laundering includes any practice by which illicit perpetrators disguise the original ownership and control of their proceeds of criminal conduct by making them appear to have been derived from legitimate sources. Money laundering practices may give rise to poor market integrity and low public investor confidence in any country. Consequently, money laundering is outlawed in many countries, including South Africa. On the other hand, artificial intelligence (AI) could be defined as the simulation of human intelligence processes by computer systems and/or machines in order to learn or acquire certain information, reasoning and related rules, and/or applying such rules to reach approximate or definite conclusions and self-correction. Put differently, AI also involves the creation of intelligent machines that perform and react like humans. Accordingly, the article unpacks the flaws in the current South African anti-money laundering statutory regulatory framework. This done to, inter alia, recommend the use of artificial intelligence and other relevant measures to enhance the combating of money laundering in the South African banking and related financial institutions. In light of this, the author submits that South African banks should consider adopting artificial intelligence measures to detect and prevent the negative effects of money laundering in the banking sector, and related key sectors such as the real estate and financial markets sectors.

RELATED PAPERS

Köpa salt i Cadiz och andra berättelser. Festskrift till professor Henrik Meinander den 19 maj 2020

Magdalena af Hällström

The Canadian Mineralogist

Stanislav Filatov

Jurnal Ilmiah Teknologi Pertanian Agrotechno

Eko Sutrisno

Chemistry (Weinheim an der Bergstrasse, Germany)

Didier Siri

IEEE Photonics Technology Letters

Herman Terryn

Frontiers in Marine Science

Marcia Trillo

Lecture Notes in Civil Engineering

Subodh Wagle

Journal of Bodywork and Movement Therapies

Craig Liebenson

Bai-Ling Wang

Journal of Psychiatric and Mental Health Nursing

Applied Water Science

UJJAWAL SINGH

2008 19th International Conference on Pattern Recognition

Julian Aguilar

Iván Lizaga Villuendas

mahdi majlesi

Herschel Smartt

Experimental Physiology

美国SVA毕业证认证纽约视觉艺术学院毕业证成绩单 QQ微信2298881

Obesity Facts

brian marson

Journal of virtual worlds research

nina edenhofer

2011 ASEE Annual Conference & Exposition Proceedings

Sarah Grigg

Isaac Emmanuel

Bath毕业证书 Bath毕业证成绩单

RELATED TOPICS

•   We're Hiring!
•   Help Center
• Find new research papers in:
• Health Sciences
• Earth Sciences
• Cognitive Science
• Mathematics
• Computer Science
• Academia ©2024

Brought to you by:

An Introduction to Money Laundering: "The Hunter"

By: Eugene Soltes, Guilhem Ros, Grace Liu

Money laundering schemes disguise the criminal origins of an estimated 2% to 5% of the world's gross domestic product. Money laundering not only enables criminals to escape detection, but may also be…

• Length: 11 page(s)
• Publication Date: Sep 3, 2020
• Discipline: Business Ethics
• Product #: 121011-PDF-ENG

What's included:

• Educator Copy

$4.95 per student

degree granting course

$8.95 per student

non-degree granting course

Get access to this material, plus much more with a free Educator Account:

• Access to world-famous HBS cases
• Up to 60% off materials for your students
• Resources for teaching online
• Tips and reviews from other Educators

Already registered? Sign in

• Student Registration
• Non-Academic Registration
• Included Materials

Money laundering schemes disguise the criminal origins of an estimated 2% to 5% of the world's gross domestic product. Money laundering not only enables criminals to escape detection, but may also be used to finance further criminal operations including terrorism. This case introduces readers to money laundering and anti-money laundering (AML) techniques.

Learning Objectives

To introduce the purposes and techniques of money laundering as well as international anti-money laundering (AML) controls in financial institutions and governments.

Sep 3, 2020

Discipline:

Business Ethics

Geographies:

Europe, United States

Industries:

Banking and investment industry

Harvard Business School

121011-PDF-ENG

We use cookies to understand how you use our site and to improve your experience, including personalizing content. Learn More . By continuing to use our site, you accept our use of cookies and revised Privacy Policy .