Measuring carbon contents reliably, for products, firms and industries, is key for identifying climate change related transition risks. Phase 3 of the G20 Data Gaps Initiative requests the collection of emission data and multiregional Input-Output (IO) tables to enable the calculation of...

This paper reviews the use of big data in Asian central banks, leveraging on a survey conducted among the members of the Irving Fisher Committee. The analysis reveals four main insights. First, Asian central banks define big data in a more encompassing way that includes unstructured...

The impact of the Covid-19 pandemic on official statistics has been a particularly relevant issue for central banks, as both producers and users of data. As producers, they have been confronted with statistical data gaps that arose and also involved in methodological interventions to address the...

Recent enhancements to the BIS international banking statistics have led to improvements in data quality and coverage, with more information available about the instrument type, counterparty country by bank nationality and counterparty sector of banks' international positions. This study uses...

The financial crisis of 2007-08 has highlighted the need for using granular data on financial institutions and markets to detect risks and imbalances in the financial sector. Data producers such as central banks and national statistical institutes are witnessing a growing need to improve...

A new data paradigm has emerged. Despite the human instinct to reject what cannot be fully comprehended, the big data industry is extracting new causations among multiple pools of micro-data that previously looked unrelated. This is leading to new, timely indicators and insights, and may...