François Villeroy de Galhau, Governor of the Banque de France, spoke recently at the International Conference on Statistics for Sustainable Finance, emphasising the need for good data.
A senior official from the People’s Bank of China has spoken of the imminent release of a new fintech plan, aiming to guide the stable development of the sector and accelerate digital transformation.
Congratulations to the Australian Prudential Regulation Authority (APRA)! On 13 September, its new data collection portal, APRA Connect, went live.
Ravi Menon, the Managing Director of the Monetary Authority of Singapore (MAS), gave a keynote speech on ‘What we need to do to make green finance work,’ at the Financial Times Investing for Good Asia digital conference on 8 September.
The balance between business confidentiality and transparency in reporting is a constantly disputed and ever-changing one. With that in mind, we are interested to note a recent announcement by the Australian Prudential Regulation Authority (APRA), affirming that it will publish entity-level data on authorised deposit-taking institutions – or in other words, banks.
The US Securities and Exchange Commission (SEC) has announced the official launch of a suite of Application Programming Interfaces (APIs) that provide free public access to filings data submitted to its Electronic Data Gathering, Analysis, and Retrieval system (EDGAR) in XBRL format.
Gary Gensler, Chair of the US Securities and Exchange Commission (SEC) provided a range of comments on newly introduced US OTC swaps disclosure rules to the American Bar Association Derivatives and Futures Law Committee last week.
The Financial Stability Board (FSB) recently published its ‘Interim Report on the Lessons Learnt from the COVID-19 Pandemic from a Financial Stability Perspective,’ identifying preliminary lessons on financial stability and the functioning of the G20 financial reforms.
Our colleagues at XBRL US have published an interesting comment letter addressing the question of why standardised, machine-readable data is essential for reliable, useful outcomes from artificial intelligence (AI).
What happens when some values go untagged? If we know A and B, can we simply assume C?