运用大数据锁定涉外主体外汇违规线索探索——以货物贸易为例

Exploration into Accurate Targeting of the clue to Violation of Foreign Exchange Usage by Foreign Bodies with Big Data Analysis——By Taking Trade in Goods as an Example

在我国外汇管理实践中,尝试通过计算机大数据分析的方法对货物贸易密切相关的海关进出口报关数据、银行跨境收支数据和结售汇数据进行综合分析,旨在于海量跨境交易数据中快速锁定涉外主体的外汇违规线索。测试的结果证明,该方法的数据分析准确率较高,且具有较高的实用价值。

During the practice of foreign exchange management in China,it aims to target the clue to violation of foreign exchange usage by foreign bodies in a quick and accurate way in the massive cross-border transaction data to make a comprehensive analysis on the data on import&export declarations of customs,cross-border receipts and payments as well as settlement and sale of foreign exchange of the banks by means of the big data analysis.The results from the practical test show that this method is practically useful with high accuracy in the data analysis.