Deconstructing money laundering risk : de-risking, the risk-based approach and risk communication / Noémi També Bearpark.
2022
HV6768
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Title
Deconstructing money laundering risk : de-risking, the risk-based approach and risk communication / Noémi També Bearpark.
ISBN
9783031075087 (electronic bk.)
3031075080 (electronic bk.)
9783031075070
3031075072
3031075080 (electronic bk.)
9783031075070
3031075072
Published
Cham : Springer, 2022.
Language
English
Description
1 online resource : illustrations (black and white, and color).
Item Number
10.1007/978-3-031-07508-7 doi
Call Number
HV6768
Dewey Decimal Classification
364.16/8
Summary
This book examines the interpretation of the risk-based approach (RBA) and its application across the banking industry. It explores the ways conflicting risk interpretation and deconstruction of money laundering risk have unintended consequences across the banking industry. Furthermore, it offers a theoretical framework that can be adopted and implemented by risk practitioners to address money laundering (ML) risks. The interpretation and application of the RBA influences the way money laundering risk is perceived, presented, and managed, often resulting in misalignment among stakeholders. Moreover, AML practitioners interpret money laundering (ML) risk as an entity that can be contained, largely in ignorance of the fact that ML risk is self-referential. The book therefore addresses complex inter-system feedback phenomena that lead to de-risking and re-risking, and offers a new ML risk communication framework on this basis. It will be of value to researchers and also to stakeholders within financial institutions, financial intelligence units and regulators in the fight against money laundering.
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Source of Description
Description based on print version record.
Series
CSR, sustainability, ethics & governance.
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Table of Contents
Chapter 1. Introduction to Anti-Money Laundering
Chapter 2. Risk and Luhmanns Systems Theory
Chapter 3. Case Studies and Empirical Findings
Chapter 4. Analysis and Discussion
Chapter 5. Conclusion.
Chapter 2. Risk and Luhmanns Systems Theory
Chapter 3. Case Studies and Empirical Findings
Chapter 4. Analysis and Discussion
Chapter 5. Conclusion.