Deconstructing Money Laundering Risk : (Record no. 5693)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01773cam a2200193 i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20241231131939.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230712b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031075070 |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HV6768 |
| Item number | .B368 2022 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bearpark, Noémi També, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Deconstructing Money Laundering Risk : |
| Remainder of title | de-risking, the risk-based approach and risk communication / |
| Statement of responsibility, etc | Noémi També Bearpark. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Cham, Switzerland: |
| Name of publisher, distributor, etc | Springer, |
| Date of publication, distribution, etc | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xix, 196 pages; |
| Dimensions | 24 cm. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | CSR, sustainability, ethics & governance |
| 521 ## - TARGET AUDIENCE NOTE | |
| Target audience note | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Money laundering |
| General subdivision | Prevention. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Risk management. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type | Public note |
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| Library of Congress Classification | General Collection | Rabdan Academy | Rabdan Academy | General Stacks | 07/12/2023 | Dar Kreidieh Publishing | 552.00 | HV6768 .B368 2022 | 23061 | 07/12/2023 | C. 1 | 07/12/2023 | Books | AED 552.00 |