Data
Central Banking Awards: Bank of Canada is central bank of the year
Awards go to the Bank of Canada, PriceStats, Perago and De La Rue
Economics in central banking: Alberto Cavallo and Roberto Rigobon – Billion Prices Project/PriceStats
Through a vast and ongoing data-collecting exercise, PriceStats has helped central banks overcome many of the drawbacks inherent in traditional inflation series
Central Banking Awards: BoE a leader in fintech
Awards go to the Bank of England, Vizor, Lanqart and Openlink for their innovative work
Consultancy and advisory provider of the year (data and regulatory management): BearingPoint
BearingPoint’s expertise in data and reporting has informed a number of high-level bodies over the past year, including the Basel Committee and the IMF, following groundbreaking work in Austria
Short-selling bans increased instability – ESRB paper
Banks’ volatility, leverage and default probability increased by bans on short-selling – researchers
Core-periphery model of bank networks called into question
Researchers find multiple cores in the interbank market, posing different systemic risks
HKMA launches consultation on open API framework
Open API enables personalised services for bank users but requires access to customer data
BoE paper outlines big-data-based early warning indicator
Text mining approach seeks to capture how narratives can drive action in financial markets
2017: The year in review
Over the past year, the global economy regained some strength, and some central banks began to return their policy to normal; but it was not all smooth sailing
BIS issues new ‘streamlined’ stress test principles
Banks have made significant advances in stress testing since financial crisis, Basel Committee says; issues new ‘guidelines’ that focus on stress test evolution
Bank Negara Malaysia issues new digital currency regulation
Proposed regulation aims to hold digital exchanges to a higher standard of transparency, while ensuring they identify any AML/CFT risks that may arise
Google’s Hal Varian on how technology is changing economics
Google’s chief economist talks to Christopher Jeffery about how big data and machine learning are facilitating changes in economic thinking; discusses the impact technical breakthroughs may have for central banks
Fed backtracks on CCAR cleared swaps exposure
Regulator had also postponed plan to feed cleared client exposure into G-Sib rankings
FCA mulls use of AI to tackle money laundering
Crime unit head says the financial regulator views machine learning as a complement to human judgement, not a replacement
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