ESEF Reporting Manual now lets users see latest changes
We’re delighted to note that updates to the ESEF Reporting Manual will now be much easier to spot.
We’re delighted to note that updates to the ESEF Reporting Manual will now be much easier to spot.
How can we effectively track Covid-19 relief funding and understand its impact? Our colleagues at XBRL US believe a government standard is needed, enabling coordinated digital reporting.
We were delighted to hear this week that Dangote Cement, Africa’s largest cement producer, has produced its most recent financial statements in XBRL, using the International Financial Reporting Standards (IFRS) Taxonomy.
The XBRL US Data Quality Committee (DQC) has published its 16th Ruleset for a 45-day public review and comment period, running until 31 August 2021.
When is it acceptable to delay disclosures of financial information, and when does this conflict with transparency obligations?
Following exploratory experimentation, analysis and consultation, the Governing Council of the European Central Bank (ECB) has announced its decision to launch a digital euro project, to begin with a two-year investigation phase.
The International Federation of Accountants (IFAC) has submitted a thought-provoking response to the UK in its response to the UK Department for Business, Energy & Industrial Strategy (BEIS) consultation on wide-ranging reforms aiming to restore trust in the country’s corporate reporting, audit and governance regime.
The G20 Finance Ministers and Central Bank Governors have given a ringing endorsement to sustainability disclosures and the development of international standards.
The recent communiqué from the G20 Finance Ministers and Central Bank Governors includes the use of carbon pricing mechanisms and incentives among the set of tools available to facilitate the shift to a more sustainable economy, alongside its support for global reporting standards discussed here.
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).