Big Data in Asian Central Banks

IF 4.5 3区经济学 Q1 ECONOMICS

Asian Economic Policy Review Pub Date : 2021-12-22 DOI:10.1111/aepr.12376

Giulio Cornelli, Sebastian Doerr, Leonardo Gambacorta, Bruno Tissot

引用次数: 5

Abstract

The present paper reviews the use of big data in Asian central banks, leveraging on a survey conducted by the Irving Fischer Committee on Central Bank Statistics (IFC) of the Bank for International Settlements. It reveals four main insights. First, Asian central banks define big data in an encompassing way. Second, they show higher interest in big data, including at the senior policy level. Third, big data already supports a wide range of tasks. Fourth, big data poses new challenges and increases the need for international policy cooperation, especially to make use of payments data and promote innovative technological solutions.

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亚洲央行的大数据

本文利用国际清算银行欧文·费舍尔中央银行统计委员会(IFC)进行的一项调查，回顾了亚洲央行对大数据的使用情况。它揭示了四个主要观点。首先，亚洲各国央行对大数据的定义包罗万象。其次，他们对大数据表现出了更高的兴趣，包括在高层政策层面。第三，大数据已经支持了广泛的任务。第四，大数据带来了新的挑战，增加了国际政策合作的需求，特别是在利用支付数据和推动创新技术解决方案方面。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Asian Economic Policy Review ECONOMICS-

CiteScore

12.90

自引率

2.60%

发文量

期刊介绍： The goal of the Asian Economic Policy Review is to become an intellectual voice on the current issues of international economics and economic policy, based on comprehensive and in-depth analyses, with a primary focus on Asia. Emphasis is placed on identifying key issues at the time - spanning international trade, international finance, the environment, energy, the integration of regional economies and other issues - in order to furnish ideas and proposals to contribute positively to the policy debate in the region.