A review of money laundering literature: the state of research in key areas

M Tiwari, A Gepp, K Kumar - Pacific Accounting Review, 2020 - emerald.com
A review of money laundering literature: the state of research in key areas | Emerald Insight
Books and journals Case studies Expert Briefings Open Access Publish with us Advanced …

Trade-based money laundering: a systematic literature review

M Tiwari, J Ferrill, DMC Allan - Journal of Accounting Literature, 2024 - emerald.com
Purpose This paper aims to offer the first known synthesis of peer-reviewed literature on
trade-based money laundering (TBML). Given the topic is in its nascent stage yet gaining …

[图书][B] Economics Of Banking, The

K Matthews, J Thompson, T Zhang - 2023 - books.google.com
The Economics of Banking (Fourth Edition) examines trends and operations in banking
within a microeconomic framework. Covering a range of topics, including global trends in …

Measuring global money laundering:" The walker gravity model"

J Walker, B Unger - Review of Law & Economics, 2009 - degruyter.com
Measuring global money laundering, the proceeds of transnational crime that are pumped
through the financial system worldwide, is still in its infancy. Methods such as case studies …

Behavior monitoring methods for trade-based money laundering integrating macro and micro prudential regulation: a case from China

X Chao, G Kou, Y Peng… - … Economic Development of …, 2019 - journals.vilniustech.lt
Abstract Trade-based Money Laundering, a new form of money laundering using
international trade as a signboard, always appears along with speculative capital movement …

[PDF][PDF] The effect of anti-money laundering policies: an empirical network analysis

P Gerbrands, B Unger, M Getzner, J Ferwerda - EPJ Data Science, 2022 - Springer
Aim There is a growing literature analyzing money laundering and the policies to fight it, but
the overall effectiveness of anti-money laundering policies is still unclear. This paper …

Estimating money laundering flows with a gravity model-based simulation

J Ferwerda, A van Saase, B Unger, M Getzner - Scientific Reports, 2020 - nature.com
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 …

[PDF][PDF] Innovation technology and cyber frauds risks of neobanks: gravity model analysis

V Koibichuk, N Ostrovska, F Kashiyeva… - Marketing i menedžment …, 2021 - zbw.eu
In the system of global information space, it is important to adequately calculate and assess
the factors of successful functioning of the banking system, which are directly the engines of …

Predicting money laundering using machine learning and artificial neural networks algorithms in banks

ME Lokanan - Journal of Applied Security Research, 2024 - Taylor & Francis
This paper aims to build a machine learning and a neural network model to detect the
probability of money laundering in banks. The paper's data came from a simulation of actual …

The innovative approach to increasing cybersecurity of transactions through counteraction to money laundering

SV Lieonov, OV Kuzmenko, HM Yarovenko… - 2019 - essuir.sumdu.edu.ua
A current task is to provide the economic security of any country in the context of creating
effective and reliable measures of the banking cybersecurity system against money …