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Economic Consequences of Greylisting by the Financial Action Task Force

Author

Listed:
  • Louis de Koker

    (La Trobe Law School, La Trobe University, Bundoora, VIC 3086, Australia
    Department of Mercantile and Labour Law, University of the Western Cape, Cape Town 7535, South Africa)

  • John Howell

    (JH Dragon Network, Guildford GU5 0UU, UK)

  • Nicholas Morris

    (La Trobe Law School, La Trobe University, Bundoora, VIC 3086, Australia)

Abstract

This study considers the impact of the FATF’s greylisting process from a market perspective. The results are intended to inform the development of public policy and improvement of market signalling. The study develops a theoretical market impact model and identifies the indicators which may impact banking operations and institutional decisions. It is explicitly market-oriented in that the model seeks to reflect how stakeholders in financial and non-financial markets typically respond to signals sent out by the FATF. The authors find that the FATF’s greylisting signalling has changed over time and distinguish four broad periods reflecting different messaging. The study uses financial, trade, and other variables derived from the World Bank’s ‘World Development Indicators’ databank to explore evidence of impact in each of the different phases of the FATF’s approach to greylisting. The study uses a pooled cross-section and time series approach with fixed effects, based on a sample of 177 countries and 3540 country-years of data from 2000 to 2020. The study examines impacts on net official development assistance, the banking environment (non-performing loans, risk premiums), net foreign assets, indebtedness, and market capitalisation. It finds significant correlations between many financial variables and FATF listing events, including an apparent reduction in development assistance during greylisting periods which endured after the country was delisted. This is of significant concern, as such reductions may impact disproportionately on developing economies.

Suggested Citation

  • Louis de Koker & John Howell & Nicholas Morris, 2023. "Economic Consequences of Greylisting by the Financial Action Task Force," Risks, MDPI, vol. 11(5), pages 1-32, April.
  • Handle: RePEc:gam:jrisks:v:11:y:2023:i:5:p:81-:d:1132566
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    References listed on IDEAS

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    1. Balakina, Olga & D’Andrea, Angelo & Masciandaro, Donato, 2017. "Bank secrecy in offshore centres and capital flows: Does blacklisting matter?," Review of Financial Economics, Elsevier, vol. 32(C), pages 30-57.
    2. Stefan Avdjiev & Patrick McGuire, 2012. "The Social Value of Policy Signals," BIS Working Papers 386, Bank for International Settlements.
    3. Mira Farka & Adrian R. Fleissig, 2012. "The effect of FOMC statements on asset prices," International Review of Applied Economics, Taylor & Francis Journals, vol. 26(3), pages 387-416, April.
    4. Matt Collin , Samantha Cook and Kimmo Soramäki, 2016. "The Impact of Anti-Money Laundering Regulation on Payment Flows: Evidence from SWIFT Data - Working Paper 445," Working Papers 445, Center for Global Development.
    5. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    6. María Elisa Farías & Monica Arruda Almeida, 2014. "Does Saying ‘Yes’ to Capital Inflows Necessarily Mean Good Business? the Effect of Antimoney Laundering Regulations in the Latin American and the Caribbean Economies," Economics and Politics, Wiley Blackwell, vol. 26(1), pages 96-127, March.
    7. Morse, Julia C., 2019. "Blacklists, Market Enforcement, and the Global Regime to Combat Terrorist Financing," International Organization, Cambridge University Press, vol. 73(3), pages 511-545, July.
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