大数据分析在宏观金融领域的文献综述——基于中央银行的视角  

Literature Review on Big Data Analytics in Macro Finance——A Central Bank Perspective

作　　者：肖筱林 王汉生[1] Sylvia Xiaolin Xiao;Hansheng Wang(Guanghua School of Management,Peking University)

机构地区：[1]北京大学光华管理学院

出　　处：《经济管理学刊》2023年第3期89-110,共22页Quarterly Journal of Economics and Management

基　　金：国家自然科学基金面上项目(72073006)对本文研究的资助。

摘　　要：大数据和相关技术的出现,不仅形成了覆盖经济、社会运行的海量数据和大数据生态,而且也在影响和重塑公共政策的制定和实施。本文基于中央银行的视角,梳理了大数据背景下宏观金融领域中涉及大数据和相关技术的国际和国内文献,尤其是大数据分析在货币政策沟通、宏观经济预测和宏观审慎监管方面的相关研究。最后,本文深入分析了大数据分析在中国宏观金融领域的应用现状,并提出了切实可行的进一步应用建议。Summary:Big data and relevant technologies have not only provided unprecedented amounts of data related to the macroeconomy and the whole society,formalizing a big data“ecology”,but also influenced and reshaped the process of public policy making and operation.Meanwhile,intensive attention from the field of economic research,particularly from the perspective of central banks all over the world,has been paid to big data and relevant analytical methodologies.We know that the main functions of a central bank are,within the framework of a country's monetary policy operations,to use conventional monetary policy tools(such as open market operations,discount-window loans,and required reserve ratios),or unconventional monetary policy tools,to adjust interest rates and money supply,to achieve the mandates of monetary policy,such as full employment and price stability.In different stages of monetary policy operations,including before,during,and after,the central bank's daily work includes:collecting a large amount of data,conducting regular data analysis,macroeconomic forecasting,and economic cycle analysis;releasing regular monetary policy reports and communicating with the public(traditional press conferences along with widespread use of social media such as Twitter and Facebook overseas,and Weibo and WeChat in China);and conducting micro-financial supervision and macro-prudential supervision based on a large amount of financial data,and so on.It's worth noting that,especially after the 2008 Great Recession,central banks around the world have paid more attention to macro-prudential supervision,closely monitoring real-time dynamics in specific financial markets,such as shadow banking,systemically important financial institutions,and the real estate market,through big data analysis.Therefore,in the current big data era,from the perspective of central banks,we want to address the following questions t hrough a review of the literature:With the emergence of big data and related technologies,what new changes have occurred

关 键 词：大数据分析 宏观金融 中央银行 综述 

分 类 号：F833[经济管理—金融学]