Data
Haldane outlines ‘interdisciplinary’ economics model
Andy Haldane and Arthur Turrell describe a way of broadening the scope of economics’ limited array of core models
Book notes: The Right Balance for Banks, by William Cline
An interesting analysis of optimal capital requirements for G-Sibs, examining whether Basel III requirements will be enough to stem another financial crisis
Big data in central banks focus report 2017
The second Central Banking Journal focus report on big data expands on the original study from 2016, assessing how challenges have evolved in the past year.
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
Payments overhaul under way in Aruba
Central bank to give up clearing responsibilities to oversee new payments infrastructure; consumer behaviour will be a challenge, bank says
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.
Sponsored forum: 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.
RBA looking to handle uncertainty better, says Debelle
Reserve Bank of Australia to change way it presents forecasts in order to avoid false impression of precision
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
BoE paper studies interest rates across eight centuries
In July 2016, the global risk-free rate hit its lowest level since at least 1273, according to a new extra-long-term dataset
BoE’s new MPC members disagree on future path of hikes
New deputy Dave Ramsden sees current degree of slack to be too great to warrant removal of stimulus, while Tenreyro believes it cannot “persist for too long”
Fintech is the future – Menon
Central bankers weigh in on potential of fintech, agreeing there is a need to separate use cases from the hype
Book notes: Econometrics as a Con Art, by Imad Moosa
Every central bank should have a copy of this interesting study, which holds common econometric practice under the microscope, writes Graham Bannock
Neural network can beat conventional forecasts – Kansas City Fed research
Deep learning model outperforms Survey of Professional Forecasters at all horizons
BIS report sheds light on innovative big data use
Central banks across the globe are turning to big data to solve statistical issues, improve banking supervision, and analyse communications
Chicago Fed’s Evans sees little risk of inflation surge
Study by the Chicago Fed finds little evidence there could be a threshold in unemployment beyond which inflation may surge
Good data management key to extracting value from big data – panellists
Big data proves most useful when backed by a well-designed production chain – but it comes at a cost, central bank data experts say
Non-bank stress tests must be improved – Constâncio
ECB vice-president says stress tests for non-banks are still in a “fledgling state”
IMF paper calls for global co-operation on big data
Discussion note urges statistical authorities to “step up” their involvement in big data projects and develop frameworks for knowledge sharing
Philadelphia Fed launches new research institute
Research body is tasked with better understanding consumer behaviour, particularly in relation to financial markets
Racial wage gaps in US caused by ‘harder-to-measure’ factors
Lack of opportunity plays bigger role than education and profession in racial inequality, paper finds
BoE authors outline machine learning framework
Paper offers guide to machine learning in central bank analysis, and sets out a few examples relevant to policy