“The bottom line about the double bottom line is that investors don’t have to make performance concessions to achieve sustainable outcomes. ESG data is an indicator of future performance potential and should be incorporated into the investment mosaic of all the different types of data that are used to predict performance.”
The BIS (Bank of International Settlements) has published a new report with the results of a 2020 survey on the use of big data by central banks.
The rise of data and digitisation means changes are afoot in the financial system. But what will characterise the central bank of the future? Agustín Carstens, General Manager of the Bank for International Settlements (BIS), recently addressed how the BIS Innovation Hub is helping the bank tackle the big questions of our digital era.
Confine people to their homes; shut the shops; spending goes down; GDP suffers. It may seem like common sense that stronger Covid-19-related restrictions, while essential for public health, would result in a lower GDP, but anecdata isn’t real data.
Shenzhen, China’s southern metropolis, is named after the rice paddy drains, or ‘zhen’, that once stretched across the landscape. Today, where mere decades ago sat a small fishing village, Shenzhen is a city of over 11 million inhabitants, known as China’s answer to Silicon Valley.
Typically, when providing credit, the lender’s knowledge of the borrower will be incomplete. To counteract that information asymmetry, banks often require collateral in the form of tangible assets, like real estate. But what if Big Data could solve that information asymmetry?
What would a world where data was restricted by borders look like? This week the Bank of England’s blog, Bank Underground, explored the threat that fragmentation in the global data supply chain could pose to financial services.
One item at this week’s XBRL Europe Digital Week was especially encouraging for those of us focussed on the modernisation and simplification of the XBRL standard. Fujitsu’s development team have been working on a Proof of Concept implementation for the xBRL-CSV specification. xBRL-CSV is designed to simplify handling of very large volumes of data. This […]
Central banks and national statistical offices have increasingly been looking to big data sets and analytics to provide new insights – but managing data of this magnitude requires new data platforms. This week a Bank for International Settlements (BIS) report breaks down how best to deal with big data. Novel big data sets – such […]
The Spanish bank BBVA has used big data technology to track the impact of Covid-19 on Spanish consumption – discovering a 49% average decline in consumer spending. The study looked at anonymised and aggregated data from 1.4 billion card transactions since 2019, demonstrating dramatic changes in spending habits as the crisis took hold. The data […]