Exploration of Enhancing the Quality of Suspicious Transaction Reports for Anti-Money Laundering and Countering Financing of Terrorism in the Securities Industry of China
DOI: 10.23977/ferm.2023.060911 | Downloads: 10 | Views: 329
Author(s)
Li Jia 1, Huang Liang 1
Affiliation(s)
1 Nanjing Securities Co., Ltd, Nanjing, Jiangsu, 210019, China
Corresponding Author
Li JiaABSTRACT
Reporting suspicious transactions is a fundamental obligation for Chinese financial institutions in preventing and combating money laundering crimes. This article examines the evolution of China's suspicious transaction reporting system and potential strategies to enhance the efficacy of Suspicious Transaction Reports, accounting for various variables that influence the reporting process.
KEYWORDS
The Securities Industry, Suspicious Transaction Report, Anti-Money Laundering and Countering Financing Terrorism (AML/CFT)CITE THIS PAPER
Li Jia, Huang Liang, Exploration of Enhancing the Quality of Suspicious Transaction Reports for Anti-Money Laundering and Countering Financing of Terrorism in the Securities Industry of China. Financial Engineering and Risk Management (2023) Vol. 6: 77-82. DOI: http://dx.doi.org/10.23977/ferm.2023.060911.
REFERENCES
[1] Liu Minzhe. Problems and Regulatory Challenges of the Implementation of the Measures for the Management of Large-Value Transactions and Suspicious Transactions in Financial Institutions [J]. Hainan Finance, 2017, (09).
[2] FATF (2012-2022), International Standards on Combating Money Laundering and the Financing of Terrorism & Proliferation, FATF, Paris, France, www. fatf-gafi. org/recommendations. html
[3] https://www.fatf-gafi.org/content/fatf-gafi/en/publications/Fatfrecommendations/Public-consultation-guidance-vasp. html
[4] Yang Xuexing. Financial Data Sharing and Security: Reflections on Anti-Money Laundering Fund Monitoring [J]. Fujian Finance, 2020 (04).
[5] A. I. Canhoto, Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective, Journal of Business, 2021 Vol. 131.
[6] D. Bartolozzi, M. Gara, D. J. Marchetti, D. Masciandaro, Designing the anti-money laundering supervisor: The governance of the financial intelligence units. [J]. International Review of Economics & Finance. 2022 Vol. 80.
[7] Li Jiao, Cai Ningwei. New Ideas for Anti-Money Laundering in the Big Data Era [J]. Modern Financial Guide, 2021 (12).
[8] Liu Honghua. Vigorously promoting the deep development of anti-money laundering work [J]. China Finance, 2020 (11).
[9] David Chaikin, How effective are suspicious transaction reporting systems? [J]. Journal of Money Laundering Control. 2009 Vol. 12 (3).
[10] Liao Minchao, Gao Zengan, Jin Jiamin. The Role of Anti-Money Laundering Goals among Commercial Banks in Promoting Employee Task Performance: Feedback as a Mediator. [J]. Journal of Advanced Management Science. 2022 Vol. 10 (4).
Downloads: | 16842 |
---|---|
Visits: | 343368 |
Sponsors, Associates, and Links
-
Information Systems and Economics
-
Accounting, Auditing and Finance
-
Industrial Engineering and Innovation Management
-
Tourism Management and Technology Economy
-
Journal of Computational and Financial Econometrics
-
Accounting and Corporate Management
-
Social Security and Administration Management
-
Population, Resources & Environmental Economics
-
Statistics & Quantitative Economics
-
Agricultural & Forestry Economics and Management
-
Social Medicine and Health Management
-
Land Resource Management
-
Information, Library and Archival Science
-
Journal of Human Resource Development
-
Manufacturing and Service Operations Management
-
Operational Research and Cybernetics