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TECHNOLOGY AND ANTI-MONEY LAUNDERING  A SYSTEMS THEORY AND RISK-BASED APPROACH
TECHNOLOGY AND ANTI-MONEY LAUNDERING  A SYSTEMS THEORY AND RISK-BASED APPROACH

TECHNOLOGY AND ANTI-MONEY LAUNDERING A SYSTEMS THEORY AND RISK-BASED APPROACHPDF电子书下载

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  • 电子书积分:9 积分如何计算积分?
  • 作 者:DIONYSIOS S.DEMETIS
  • 出 版 社:EDWARD ELGAR
  • 出版年份:2010
  • ISBN:1848445563
  • 页数:188 页
图书介绍:
《TECHNOLOGY AND ANTI-MONEY LAUNDERING A SYSTEMS THEORY AND RISK-BASED APPROACH》目录
标签:

1. Introduction 1

2. Introduction to anti-money laundering 4

Introduction 4

The nature of laundered money 5

The laundering process 12

Estimating the money laundering market? 13

The international fight against ML 16

An overview of some global AML features 26

The farce of anti-terrorist financing (ATF) 31

3.On systems theory 36

Introduction 36

About systems theory 37

Difference and distinction 41

The system 43

The boundary, the environment et al 47

Complexity 51

Self-reference 54

4.The case study of Drosia bank 62

Introduction 62

Access to the bank 62

General comments about the bank 64

AML within the bank 68

Examining scenario a) external requests 68

Examining scenario b) internal initiation of reporting 71

The POSEIDON information system 74

The extent and form of asymmetry in STRs 78

The CHIMERA system: a new automated solution for AML 84

The Electronic Updates System 93

The ZEUS profiling software 93

Broader comments 95

5.Systems theory - a theory for AML 97

Introduction 97

The system of AML 98

The functional differentiation of society and the role of AML 102

Coding 108

The code of the AML system 110

The role of technology in the AML system 115

AML -‘islands of reduced complexity’ 123

The technological construction of AML-reality 127

The system of technology 132

6.The risk-based approach and a risk-based data-mining application 133

Deconstructing risk 133

On the regenesis of risk 137

The concept of risk 138

The 3rd AML Directive and its confusion of risk 139

Risk representation 144

The construction of risk-deconstruction 145

A data-mining application for the risk-based approach 148

Epilogue 161

Notes 163

References 168

Index 177

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