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
{"title":"Big Data in Asian Central Banks","authors":"Giulio Cornelli,&nbsp;Sebastian Doerr,&nbsp;Leonardo Gambacorta,&nbsp;Bruno Tissot","doi":"10.1111/aepr.12376","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":45430,"journal":{"name":"Asian Economic Policy Review","volume":"17 2","pages":"255-269"},"PeriodicalIF":4.5000,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Economic Policy Review","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/aepr.12376","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
12.90
自引率
2.60%
发文量
39
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.
期刊最新文献
Comment on “Pakistan's Economy: Fallout of 2022 Economic Distress Magnifies the Need for Structural Reforms” Comment on “The Sri Lankan Economy: From Optimism to Debt Trap” Comment on “Pakistan's Economy: Fallout of 2022 Economic Distress Magnifies the Need for Structural Reforms” Export Diversification in Bangladesh: Overcoming Policy Impediments Comment on “Recent Developments in Indian Central Banking: Flying through Turbulence but Aided by Some Tailwinds”
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1