Deconstructing Money Laundering Risk - De-risking, the Risk-based Approach and Risk Communication (Hardcover, 1st ed. 2022)


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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Product Description

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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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

CSR, Sustainability, Ethics & Governance

Release date

July 2022

Availability

Expected to ship within 12 - 17 working days

First published

2022

Authors

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

196

Edition

1st ed. 2022

ISBN-13

978-3-03-107507-0

Barcode

9783031075070

Categories

LSN

3-03-107507-2



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