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Dynamics of Green Finance and Money Laundering Risk Across Asia Pacific
NQN Ngo - Available at SSRN 4975158, 2024 - papers.ssrn.com
This study examines at how green finance affects the effectiveness of anti-money laundering
(AML) policies at the national level in the Asia-Pacific area between 2012 and 2023. Using …
(AML) policies at the national level in the Asia-Pacific area between 2012 and 2023. Using …
Anti-Money Laundering Disclosure, Income Shifting, Litigation Risks and Audit Fees: Evidence from Financial Institutions
X Lin - 2024 - espace.curtin.edu.au
The thesis consists of three essays addressing challenges faced by financial institutions in
Australia and China, focusing on income shifting, anti-money laundering (AML) disclosure …
Australia and China, focusing on income shifting, anti-money laundering (AML) disclosure …
Assessing the volume of money laundering in Iran's economy using the capital flight approach
M Saeedi Goraghani, K Yavari - International Journal of Business and …, 2024 - ijbds.usb.ac.ir
Money laundering refers to the concealment of the illegal origin of proceeds obtained from
criminal activities, making it appear as if they stem from legal sources. This phenomenon …
criminal activities, making it appear as if they stem from legal sources. This phenomenon …
Dynamics of Green Finance and Money Laundering Risk-International Evidence
NQN Ngo - Available at SSRN 4975162, 2024 - papers.ssrn.com
This research examines the national-level green finance impact on anti-money laundering
(AML) effectiveness using 16,968 country-year observations from 266 countries across eight …
(AML) effectiveness using 16,968 country-year observations from 266 countries across eight …
[PDF][PDF] Machine Learning Models for Money Laundering Detection in Financial Institutions. A Systematic
Financial crimes in institutions have grown exponentially over the years, detecting credit
card fraud in which simple and hybrid machine learning have been used for detection. In the …
card fraud in which simple and hybrid machine learning have been used for detection. In the …