关于大数据在中央银行监管应用的文献综述  

Literature Review on the Application of Big Data in Central Bank Supervision

作　　者：刘晓鑫[1] 景祥云 叶骏骅 金博 毕文祥 LIU Xiaoxin;JING Xiangyun;YE Junhua;JIN Bo;BI Wenxiang

机构地区：[1]中国人民银行长春中心支行,吉林长春130051

出　　处：《吉林金融研究》2020年第10期6-9,18,共5页Journal of Jilin Financial Research

摘　　要：随着大数据方法的日渐成熟,大数据、机器学习、深度学习等数据算法在经济学领域得到了广泛应用,各国央行对此也进行了大量探索。本文对近年来主要国家央行以及国内外相关学者对大数据方法应用的文献进行系统的梳理,旨在为我国应用大数据方法开展金融管理,提供简要的分析框架和实践经验总结。With the growing maturity of big data methods,data algorithms such as big data,machine learning and deep learning have been widely applied in the field of economics.Central banks of various countries have also conducted a lot of exploration.In this paper,literature on the application of big data methods by major national central banks and relevant scholars at home and abroad in recent years is systematically reviewed,aiming to provide a brief analysis framework and practical experience summary for the application of big data methods in financial management in China.

关 键 词：大数据 宏观经济研究 经济监测 经济预测 

分 类 号：F830[经济管理—金融学]