Big data in central banks focus report 2018
The third Central Banking big data focus report delves further into recent trends as central banks grapple with the question of upgrading their approaches to data
The 2018 survey of central bank big data usage reveals how the topic remains a major research issue and is increasingly finding its way into policy debates. But, for many, innovative research is running ahead of governance reform.
The report includes an interview with IMF statistics chief Louis Marc Ducharme, a feature on how central banks are making use of regtech, a roundtable discussion, and more.
Official institutions are maturing as big data users but there is plenty more work to be done.
The International Monetary Fund’s first-ever overarching strategy on data aims to spread big data expertise among fund members. Louis Marc Ducharme discusses the upcoming challenges.
Regulatory technology could prove effective in improving data reporting and supervisory monitoring, but central banks have a long way to go to making this a reality, writes Joel Clark.
As work in big data enters the mainstream for central banks, its policymaking and supervisory influence is expanding, prompting significant investment in new technologies.
The global financial crisis sparked a far-ranging overhaul of the international architecture for financial regulation, coupled with a deep reflection around the fitness-for-purpose and effectiveness of supervisory efforts, writes Anne Leslie-Bini.
With central banks becoming increasingly reliant on data, BearingPoint elaborates on the increasing role of innovative regulatory and supervisory technology in supervision.
Big data is changing the way central banks think about the economy and oversee the financial system. In a forum sponsored by BearingPoint, Central Banking convened a panel of experts to discuss the innovative ways central banks are making use of big data.
Central Banking convened a panel of experts to discuss how central banks and other supervisors can maximise the potential of data, while overcoming hurdles to its collection and deployment