While new disclosure standards and requirements appear to be on the horizon, we’ve seen different perspectives this week on how environmental, social, and governance (ESG) factors are reflected in current reporting.
“Intangible assets have long been the engine for value creation in the world’s developed economies,” says the International Valuation Standards Council (IVSC). Companies’ investment in intangible assets, and investors’ ability to identify companies able to make the best return on these assets, are critical.
This is a guest post by Vincent Le Moal-Joubel, data scientist and XBRL expert at the Banque de France, based on his presentation at the 28th XBRL Europe Digital Week event on Bank & Insurance reporting, on 23 June 2021. He offers an important proof of concept on the use of xBRL-CSV for European reporting. […]
Can digitisation significantly improve the processes of preparing, collecting, tracking and analysing data on government grants and how they are used?
The Financial Reporting Council (FRC) Financial Reporting Lab has published the results of a survey carried out in May 2021.
Congratulations to the Australian Prudential Regulation Authority (APRA)! On 13 September, its new data collection portal, APRA Connect, went live.
The UK’s Streamlined Energy and Carbon Reporting (SECR) rules, which came into effect from 1 April 2019, provide an interesting example of mandatory climate reporting and potential insights for other jurisdictions implementing similar regimes.
The Bank of England’s financial watchdog, the Prudential Regulation Authority (PRA), has written to company CEOs discussing recent findings on the reliability of regulatory reporting, decrying poor practices, and reiterating its supervisory expectations.
This is one story where we recommend taking a look at the original visuals, as Bloomberg reports on ‘How the pandemic shaped financial reporting, in four charts,’ based on a study by Audit Analytics.
The Bank of England is shifting from XML to XBRL for the collection of significant amounts of statistical data.
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