Bloomberg has expanded its carbon emissions dataset to 100,000 companies thanks in part to a newly developed in-house estimation model. The new tech has been used to derive carbon scores from companies that haven’t reported their own data. Bloomberg said the latest dataset offers “greater precision in Scope 1, 2 and 3 carbon emissions”.
High quality, consistent and timely data is key to automation of the trading and investment cycle, but while firms are keen to push on with automation, barriers remain. These include sourcing the right data, timely delivery, data quality and ensuring regulatory compliance. The webinar will discuss the foundational role of data in trading automation, and...
Proposals to improve the nature-risk data value chain has been welcomed by sustainability data leaders who said they will pave the way for better decision making and reporting by financial institutions and provide more detailed analyses for investors. The proposals offer a slate of principles to improve the quality of state-of-nature data collection and integration...
Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.
The highly specialised realm of high frequency trading without doubt is a great driver for a range of high performance technologies that are becoming essential tools for Wall Street. More so than the now somewhat pedestrian algorithmic trading and analytics/pricing applications that are usually cited as the reason that HPC is hitting the financial markets,...