Central Banking Journal

The rapid evolution of data

As big data enters the mainstream, it is critical to understand how it can transform our thinking, but also to be realistic about its shortcomings and biases

Making the most of big data

Per Nymand-Andersen, adviser to senior management at the European Central Bank, discusses how central banks can benefit from embracing big data and what this could mean for the industry in the near future.

Big data in central banks: 2017 survey

As an active area for new projects, big data is becoming a fixture in policymaking, with an increasing number of central banks carving out a budget for data handling, writes Emma Glass.

Tapping into big data’s potential

Central Banking convened a panel of experts to discuss how central banks can harness big data for their needs, hopefully without falling foul of some of the many pitfalls that await.

A new era for the BIS

As Basel III inches towards closure and a new BIS general manager prepares to move into his post, Jaime Caruana talks to Daniel Hinge about his eight years at the helm

Teaching machines to do monetary policy

Machine learning may not yet be at the stage where central bankers are being replaced with robots, but the field is bringing powerful tools to bear on big economic questions

Interview: Edward Prescott

The Nobel Prize-winner speaks to Daniel Hinge about time inconsistency and real business cycle theory, and explains why there is no ‘productivity puzzle’

Archive – Interview: Allan Meltzer

Robert Pringle talks to Allan Meltzer, Carnegie Mellon professor and chair of the US Congress’s International Financial Institution Advisory Commission (the “Meltzer Commission”); first published in February 2003

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