Ryzyko AML i jego znaczenie w działalności banków

Weronika  Zielińska

doi:10.18778/2391-6478.2.3.10

Authors

Weronika Zielińska Uniwersytet Łódzki, Wydział Ekonomiczno-Socjologiczny

DOI:

https://doi.org/10.18778/2391-6478.2.3.10

Keywords:

AML, operational risk, money laundering, fraud

Abstract

Article covers the theoretical problem of money laundering and terrorist financing, as well as concisely presents selected statistical methods that allow the detection of unusual transactions, which may potentially pose a risk to use the bank for money laundering or terrorist financing. This topic has been chosen because global financial institutions pay more and more attention to the risk of AML (Anti-Money-Laundering), that is the risks associated with the use of financial institutions in the process of money laundering and fraud. Banks are obliged to monitor transactions through various acts in Asia, the United States (FACTA – Foreign Account Tax Compliance Act oraz US Patriot Act 2001) and soon the four European directives (4MLD).

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References

Lawrence M. Salinger, 2005, Encyclopedia of white-collar & corporate crime: A – I, Volume 1, SAGE Publications.
Google Scholar DOI: https://doi.org/10.4135/9781412914260

Kuijlen T., Migut G., 2004, Wykrywanie nadużyć i pranie brudnych pieniędzy, StatSoft Polska, Warszawa.
Google Scholar

Kingdon J., 2004, AI Fights Money Laundering, IEEE Transactions on Intelligent Systems, Washington.
Google Scholar DOI: https://doi.org/10.1109/MIS.2004.1

National Money Laundering Threat Assessment, December 2005. Retrieved 3 March 2011.
Google Scholar

Scholkopf B., 2000, A short tutorial on kernels, Microsoft Research, Rech Rep: MSR-TR-200-6t.
Google Scholar

Savla S., 2001, Money Laundering and Financial Intermediaries, Kluwer Law International, Boston.
Google Scholar

UKNF, Międzynarodowe Standardy Przeciwdziałania Praniu Pieniędzy i Finansowaniu Terroryzmu oraz Proliferacji – Rekomendacje FATF, www.knf.gov.pl/Images/Rekomendacje_FATF_tcm75-40223.pdf
Google Scholar

Vapnik V., 1995, The Nature of Statistical Learning Theory, Springer Verlag, NewYork.
Google Scholar DOI: https://doi.org/10.1007/978-1-4757-2440-0