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Enregistrement W2770565930 · doi:10.1108/jmlc-07-2016-0032

The implications of Brexit for UK anti-money laundering regulations

2017· article· en· W2770565930 sur OpenAlexaboutno aff
Norman Mugarura

Notice bibliographique

RevueJournal of Money Laundering Control · 2017
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCrime, Illicit Activities, and Governance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBrexitDirectiveMoney launderingEuropean unionMember statesBusinessSingle marketMember stateInternational tradeAutonomyScrapFree movementLawPolitical scienceLaw and economicsEconomicsFinance

Résumé

récupéré en direct d'OpenAlex

Purpose The purpose of this paper is to explore the law relating to European Union (EU) Anti-Money Laundering (AML) Directives and the effect of Brexit on money laundering regulation in the UK and the EU. The first part of the paper involves a review of AML Directives and how they are transposed into the UK. The question whether the fourth AML directive or other directives due to become law in the UK will be implemented or culled will largely depend on the relationship between the UK and the EU going forward. The UK will have the full autonomy in terms of making decisions as to which laws to implement or which laws to scrap or to cull, as it sees fit. The UK having relinquished its membership of the EU notwithstanding could still be bound by EU anti-money directives particularly if it chooses to remain in the EU single market. The UK could also forge alliances with EU member states and in which case it will be expected to apply the same EU market rules as its other EU counterparts. The fourth AML directive that was due to become law in all EU member countries in June 2017. This directive was introduced to streamline the third AML directive (2005/60/EC) largely with regard to beneficial ownership of nominee accounts and politically exposed persons (PEPs). The paper scoped current EU AML directives, and how they have been used in the fight against money laundering both in the UK and beyond. Brexit is likely to have far-reaching implications on many regulatory areas, including in prevention of money laundering and its predicate offences in the UK and the EU. The fourth AML directive was due to become law in the UK on 26 June 2017, and whether the UK Government will go ahead and implement it or bin remains to be seen. Design/methodology/approach The paper has evaluated the potential effect of BREXIT on EU AML Directives in the UK, drawing examples in non-EU countries. It articulates the raft of EU AML Directives to assess whether the fourth AML directive (which was due to become law in June 2017) will become law in the UK or be culled. It draws on experiences of non-EU countries like Switzerland and Norway, which despite not being members of the EU, have full access to the EU single market. The first part of the paper provides a review of AML Directives in Europe and how they are internalised into member countries. Data were evaluated often alluding to existing mechanisms for harnessing EU AML Directives in member countries. The last part of the paper proposes the measures that are ought to be done to minimise or forestall the threat of money laundering and its predicate offences in the post-Brexit regulatory environment. Findings The BREXIT has already unravelled markets both in the UK and in the EU with far-reaching implications on money laundering regulation in multiple ways. The paper has articulated the mechanisms for internalisation of EU AML directives in all Member countries and countries that want to exit the EU. It is now clear that, as the UK voted to relinquish its membership of the EU, it will not be under any obligations to apply EU AML regimes or any other EU laws for that matter. The findings of the paper were not conclusive, as the UK government has not yet triggered Article 50 of Treaty of Lisbon on the functioning of the EU. The fourth AML directive, which was due to become law in the UK on 26 June 2016, could still be adopted or culled depending on the model the UK decides to adopt in its relationship with the EU going forward. There is a possibility for the UK to remain a member of the EU single market and to retain some of the regulatory rules it has operated in relation to money laundering regulation and its predicate offences. It could adopt the Norway, Switzerland or the Canadian model, each of which will have different implications for the UK and the EU in terms of their varied AML obligations. It will be in the commercial interests of the UK Government to not cull the fourth AML directive (which was due to become law in June 2017) but to transpose it into law. Research limitations/implications There were not so many papers written on the issue of Brexit in the context of this topic. It was therefore not possible to carry out a comparative review of Brexit and its effect on money laundering regulation in the UK, drawing on experiences of other countries that have exited. Practical implications Brexit is likely to have far-reaching implications on many regulatory areas, including prevention of money laundering and its predicate offences in the UK and the EU. Social implications The Brexit has elicited debates and policy discussions on many regulatory issues and not the least money laundering counter-measures in the post-Brexit environment. Brexit will have far-reaching implications for markets, people and national governments both in the EU and beyond. It has already unravelled social and economic life both in the UK and in the EU. The significance of paper is that it could enhance future research studies on money laundering regulation within countries delinking from regional market initiatives to address attendant changes. Originality/value This paper proffers insights into the Brexit and its implication on AML regulation in the UK and the EU during and post-Brexit era. To curtail the social-economic effect of Brexit on financial markets regulation, the UK should remain a member of the European single market not only to minimise the potential of losing more ground and leverage as a financial capital of the world but also to protect financial markets tumbling downhill!

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,030
score de la tête « metaresearch » (Gemma)0,096
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,043
Score d'incertitude au seuil0,159

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0300,096
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0050,015
Communication savante0,0180,012
Science ouverte0,0020,006
Intégrité de la recherche0,0140,011
Charge utile insuffisante (le modèle a refusé de juger)0,0090,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,042
Tête enseignante GPT0,334
Écart entre enseignants0,292 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2017
Routes d'admission1
Résumé présentoui

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