Behavior monitoring methods for trade-based money laundering integrating macro and micro prudential regulation: a case from China

Trade-based Money Laundering, a new form of money laundering using international trade as a signboard, always appears along with speculative capital movement which has been accepted as the most concerned and consensus incentive giving rise to the collapse of the financial market. Unfortunately, prev...

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Main Authors: Xiangrui Chao, Gang Kou, Yi Peng, Fawaz E. Alsaadi
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2019-05-01
Series:Technological and Economic Development of Economy
Subjects:
Online Access:https://journals.vgtu.lt/index.php/TEDE/article/view/9383
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author Xiangrui Chao
Gang Kou
Yi Peng
Fawaz E. Alsaadi
author_facet Xiangrui Chao
Gang Kou
Yi Peng
Fawaz E. Alsaadi
author_sort Xiangrui Chao
collection DOAJ
description Trade-based Money Laundering, a new form of money laundering using international trade as a signboard, always appears along with speculative capital movement which has been accepted as the most concerned and consensus incentive giving rise to the collapse of the financial market. Unfortunately, preventing money laundering is very difficult since money laundering always has a plausible trade characterization. To reach this goal, supervision for regulator and financial institutions aims to effectively monitor micro entities’ behavior in financial markets. The main purpose of this paper is to establish a monitoring method including accurate recognition and classified supervision for Trade-based Money Laundering by means of knowledge-driven multi-class classification algorithms associated with macro and micro prudential regulation, such that the model can forecast the predicted class from the concerned management areas. Based on empirical data from China, we demonstrate the application and explain how the monitor method can help to improve management efficiency in the financial market. First published online 8 May 2019
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spelling doaj.art-39fa7d0625a84356b1572a7d60266d442022-12-21T23:18:02ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212019-05-0125610.3846/tede.2019.9383Behavior monitoring methods for trade-based money laundering integrating macro and micro prudential regulation: a case from ChinaXiangrui Chao0Gang Kou1Yi Peng2Fawaz E. Alsaadi3School of Management and Economics, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 611731, ChinaSchool of Business Administration, Southwestern University of Finance and Economics, No. 555, Liutai Ave, Wenjiang Zone, Chengdu, 611130, ChinaSchool of Management and Economics, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, 611731, ChinaDepartment of Information Technology, Faculty of Computing and IT, King Abdulaziz University, Jeddah, Saudi ArabiaTrade-based Money Laundering, a new form of money laundering using international trade as a signboard, always appears along with speculative capital movement which has been accepted as the most concerned and consensus incentive giving rise to the collapse of the financial market. Unfortunately, preventing money laundering is very difficult since money laundering always has a plausible trade characterization. To reach this goal, supervision for regulator and financial institutions aims to effectively monitor micro entities’ behavior in financial markets. The main purpose of this paper is to establish a monitoring method including accurate recognition and classified supervision for Trade-based Money Laundering by means of knowledge-driven multi-class classification algorithms associated with macro and micro prudential regulation, such that the model can forecast the predicted class from the concerned management areas. Based on empirical data from China, we demonstrate the application and explain how the monitor method can help to improve management efficiency in the financial market. First published online 8 May 2019https://journals.vgtu.lt/index.php/TEDE/article/view/9383financial risk monitortrade-based money launderingmacro- and micro- prudential regulationmachine learning
spellingShingle Xiangrui Chao
Gang Kou
Yi Peng
Fawaz E. Alsaadi
Behavior monitoring methods for trade-based money laundering integrating macro and micro prudential regulation: a case from China
Technological and Economic Development of Economy
financial risk monitor
trade-based money laundering
macro- and micro- prudential regulation
machine learning
title Behavior monitoring methods for trade-based money laundering integrating macro and micro prudential regulation: a case from China
title_full Behavior monitoring methods for trade-based money laundering integrating macro and micro prudential regulation: a case from China
title_fullStr Behavior monitoring methods for trade-based money laundering integrating macro and micro prudential regulation: a case from China
title_full_unstemmed Behavior monitoring methods for trade-based money laundering integrating macro and micro prudential regulation: a case from China
title_short Behavior monitoring methods for trade-based money laundering integrating macro and micro prudential regulation: a case from China
title_sort behavior monitoring methods for trade based money laundering integrating macro and micro prudential regulation a case from china
topic financial risk monitor
trade-based money laundering
macro- and micro- prudential regulation
machine learning
url https://journals.vgtu.lt/index.php/TEDE/article/view/9383
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