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Compliance with the AM+L4776L/CFT International Standard: Lessons from a Cross-Country Analysis

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  • Ms. Concha Verdugo Yepes

Abstract

This paper assesses countries' compliance with the Anti-Money Laundering and Combating the Financing of Terrorism (AML/CFT) international standard during the period 2004 to 2011. We find that overall compliance is low; there is an adverse impact on financial transparency created by the cumulative effects of poor implementation of standards on customer identification; and the current measurements of compliance do not take into account an analysis of ML/FT risk, thereby undermining their credibility and the relevance of some of the policy recommendations taken on their basis. Moreover, we also examine the key role of some cultural, institutional, and financial factors in boosting countries' compliance using econometric analysis.

Suggested Citation

  • Ms. Concha Verdugo Yepes, 2011. "Compliance with the AM+L4776L/CFT International Standard: Lessons from a Cross-Country Analysis," IMF Working Papers 2011/177, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2011/177
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    Cited by:

    1. Jean-Louis Combes & Alexandru Minea & Pegdéwendé Nestor Sawadogo, 2019. "Assessing the effects of combating illicit financial flows on domestic tax revenue mobilization in developing countries," Post-Print halshs-02315734, HAL.
    2. George Milunovich & Seung Ah Lee, 2022. "Cryptocurrency exchanges: Predicting which markets will remain active," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 945-955, August.
    3. Dean Fantazzini & Raffaella Calabrese, 2021. "Crypto Exchanges and Credit Risk: Modeling and Forecasting the Probability of Closure," JRFM, MDPI, vol. 14(11), pages 1-23, October.
    4. Isaac Ofoeda & Elikplimi K. Agbloyor & Joshua Y. Abor & Kofi A. Osei, 2022. "Anti‐money laundering regulations and financial sector development," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4085-4104, October.
    5. Zhang, Guike & Gao, Zengan & Dong, June & Mei, Dexiang, 2023. "Machine learning approaches for constructing the national anti-money laundering index," Finance Research Letters, Elsevier, vol. 52(C).
    6. Mr. Nadim Kyriakos-Saad & Manuel Vasquez & Mr. Chady A El Khoury & Arz El Murr, 2016. "Islamic Finance and Anti-Money Laundering and Combating the Financing of Terrorism (AML/CFT)," IMF Working Papers 2016/042, International Monetary Fund.
    7. Olga Balakina & Angelo D’Andrea & Donato Masciandaro, 2017. "Bank secrecy in offshore centres and capital flows: Does blacklisting matter?," Review of Financial Economics, John Wiley & Sons, vol. 32(1), pages 30-57, January.
    8. Ioana Sorina Deleanu, 2017. "Do Countries Consistently Engage in Misinforming the International Community about Their Efforts to Combat Money Laundering? Evidence Using Benford’s Law," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-19, January.
    9. Bartolozzi, D. & Gara, M. & Marchetti, D.J. & Masciandaro, D., 2022. "Designing the anti-money laundering supervisor: The governance of the financial intelligence units," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 1093-1109.
    10. Huizinga, Harry, 2018. "The Supervisory Approach to Anti-Money Laundering: An Analysis of the Joint Working Group’s Reflection Paper," Other publications TiSEM 1bb0eb51-d44b-46ab-87ae-6, Tilburg University, School of Economics and Management.
    11. D. Bartolozzi & M. Gara & D.J. Marchetti & D. Masciandaro, 2019. "Designing The Anti-Money Laundering Supervisor: Theory, Institutions And Empirics," BAFFI CAREFIN Working Papers 19126, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.

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