大数据背景下反洗钱大额现金监测机制改进策略——基于“冠字号”识别视角  

Improvement Strategy of Anti-money Laundering Large Cash Monitoring Mechanism Under The Era of Big Data--Based On Crown Size of RMB Recognition

作　　者：徐珊珊[1] XU Shanshan(Xi’an Branch PBC,Xi’an Shannxi 710075)

机构地区：[1]中国人民银行西安分行,陕西西安710075

出　　处：《西部金融》2019年第10期91-94,共4页West China Finance

摘　　要：现金是全球最重要的洗钱方式之一,由于其匿名性,导致缺乏有效的洗钱风险管控手段,难以追缴犯罪所得。本文分析我国反洗钱现金交易监测难点,提出在大数据时代,以冠字号识别技术为切入点,通过大数据挖掘和应用,还原交易轨迹,实现现金交易的可追踪,从根本上遏制现金"匿名性"引发的洗钱风险。Cash is one of the most important money-laundering methods in the world. Due to its anonymity, it is difficult to recover the proceeds of crime, due to the lack of effective money-laundering risk control measures. This paper analyzes the weak links in the monitoring of anti-money laundering cash transactions in China, and proposes that in the era of big data, using the technology of title recognition as the entry point, through big data mining and application, build data association, restores transaction trajectory, realizes the traceable cash transactions, and fundamentally curbs the money laundering risk caused by the "anonymity" of cash.

关 键 词：现金 冠字号 反洗钱 监测 

分 类 号：F822.0[经济管理—财政学] F832.31