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出 处:《上海管理科学》2007年第6期42-46,共5页Shanghai Management Science
基 金:上海市科学技术委员会科研计划项目(03JC14050);国家自然科学基金项目(70403012)
摘 要:洗钱本质是欺诈和隐藏。因此在洗钱过程中存在不同于正常交易的可疑行为。为了追踪洗钱资金,本文设计了基于路径洗钱概率值的金融网络中洗钱资金转移路径的可疑模型,筛查出洗钱资金转移的可疑路径集合。监测这些可疑路径,特别是重点监控其中的关键直接路径,能够有效提高反洗钱效率。本模型为金融机构和监管机构反洗钱提供一种可行方法。The essence of money laundering was deceit and cover-up. So in the processes of money laundering there were some suspicious behaviors different from normal businesses. For tracking the suspicious trails in money laundering, this paper designes a suspicious model of money laundering transfer paths based on money laundering probability in a financial network. We filtrate a suspicious paths' inclusion about money laundering transfer from money transfer paths. Tracking and inspecting the paths, especially canvassing key direct transfer paths in them, the efficiency of antimoney laundering can be improved. The model can give financial institutions and their supervisor a feasible method in anti-money laundering practice.
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