Assessing the risk of money laundering: research challenges and implications for practitioners
EU Savona, M Riccardi - European Journal on Criminal Policy and …, 2019 - Springer
Over the past 12 years, the concept of risk has become central to the anti-money laundering
(AML, hereinafter) debate worldwide. All the actors involved in the prevention of money …
(AML, hereinafter) debate worldwide. All the actors involved in the prevention of money …
Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping
Money laundering (ML) is a critical source of extracting the money illegally from the financial
system. It is linked to various types of crimes, including corruption, exploitation of a specific …
system. It is linked to various types of crimes, including corruption, exploitation of a specific …
Money laundering risk in developing and transitive economies: Analysis of cyclic component of time series
Money laundering has become a global threat to the international stability and security,
leading both to economic and social upheavals, and to an increase in terrorist threats …
leading both to economic and social upheavals, and to an increase in terrorist threats …
'De-Risking', De-Banking and Denials of Bank Services: An Over-Compliance Dilemma?
L de Koker, P Casanovas - Financial Crime, Law and Governance …, 2024 - Springer
This chapter considers the impact of drivers of over-compliance or so-called 'gold plating'on
decisions of banks to terminate or restrict relationships with customers and counterparts. It …
decisions of banks to terminate or restrict relationships with customers and counterparts. It …
FATF's risk-based approach: has the pendulum swung too far?
L de Koker, D Goldbarsht - Financial Crime and the Law: Identifying and …, 2024 - Springer
The introduction of the mandatory risk-based approach in the FATF standards in 2012 was
revolutionary. It promised to free institutions from a general rule-based approach to …
revolutionary. It promised to free institutions from a general rule-based approach to …
Financial crime risk assessment: machine learning insights into ownership structures in secrecy firms
M Jofre, A Bosisio, M Riccardi - Global Crime, 2024 - Taylor & Francis
This study examines the relationship between corporate secrecy and financial crime,
presenting an analytical framework to strengthen risk assessment efforts. We develop …
presenting an analytical framework to strengthen risk assessment efforts. We develop …
Factors influencing anti-money laundering regulatory approaches towards casinos and cryptocurrencies in Bangladesh
Purpose This paper aims to critically explore the factors influencing the regulation of
gambling and cryptocurrencies as part of anti-money laundering (AML) initiatives in …
gambling and cryptocurrencies as part of anti-money laundering (AML) initiatives in …
[图书][B] Money laundering blacklists
M Riccardi - 2022 - taylorfrancis.com
What are the criteria used by Financial Action Task Force (FATF) and the European Union to
blacklist jurisdictions at high-risk of money laundering? What are the countries at highest risk …
blacklist jurisdictions at high-risk of money laundering? What are the countries at highest risk …
The potential of interprovincial money laundering in Indonesia: investigation on the attractiveness and destination choice
A Andiojaya, AR Ramadhani, R Rizka… - Journal of Money …, 2025 - emerald.com
Purpose The purpose of this study is to ascertain the level of attractiveness of each province
in Indonesia as a potential destination for money laundering activities originating from …
in Indonesia as a potential destination for money laundering activities originating from …
Machine learning approaches for constructing the national anti-money laundering index
G Zhang, Z Gao, J Dong, D Mei - Finance Research Letters, 2023 - Elsevier
This paper proposes a methodology for constructing the national anti-money laundering
(AML) index based on Mutual Evaluation reports and machine learning models. We employ …
(AML) index based on Mutual Evaluation reports and machine learning models. We employ …