Market participants worry a venue-led CT could be of low quality, with CT data used to create expensive additional products.
Vendors grapple with unstandardized data reporting and data gaps in their push to develop a consolidated tape, as the EU prepares to unveil its latest legislative plans.
Modernization will help numbering agency data hub adapt to new technologies and improve data quality post-Isin review.
Project led by Societe Generale that uses privacy-enhancing technologies to solve data management issues hopes to sign up five banks and launch as a legal entity.
A look at some of the key "people moves" from this week, including Winnie Chen (pictured), who joins BNY Mellon as APAC head of treasury services.
In the absence of a consolidated tape for debt securities in the EU, vendors with different approaches to distributing fixed-income market data are emerging.
Retiring Oats is a milestone on the long and winding road to Cat implementation, but the SEC must make some major decisions in a very short timeframe before the Cat journey is over.
Socially responsible investors are putting their money where their mouth is—in ever-increasing amounts. With insatiable demand for new datasets and analytics to support these strategies, it’s not surprising that every data vendor wants a slice of the ESG…
The EU regulator had to coordinate efforts with local NCAs to clamp down on failures made by counterparties to meet Emir guidelines for porting data.
This whitepaper outlines the history of the Reference Data Utility (RDU), charts its development, scrutinizes its underlying technology and articulates the business benefits that users can reasonably expect on the back of subscribing to it
Market participants will not have to use both the UPI and the Isin in their submissions to trade repositories, policy officer says.
A new era of accountability might see the Federal Reserve demand model explainability to keep financial system safe.
A summary of some of the past week's financial technology news.
Managing Data Assets in 2021—Building an Effective Framework for Successful Data Governance and Sharing Best Practices
This webinar explores how data analytics and artificial intelligence tools can help buy-side firms identify hidden value within their data and how buy-side firms can enhance existing business processes by improving data quality
Three fixed-income experts look back on the bond market’s liquidity crisis spurred by the pandemic’s early days, and ponder where regulation and data-quality efforts might next lead the space.
FactSet’s mapping service, Concordance, can be used on its own or with Snowflake’s cloud, enabling users to apply the offering to other datasets in Snowflake’s ecosystem.
The firm is working with different machine-learning methods for portfolio construction, and expects its AI system to go live early next year.
The company aims to show that pairing good quality data with knowledge graphs can lead to links that previously would have been missed.
Sell-side firms and data providers are increasingly experimenting with natural-language generation to create new forms of automatically curated reports, emails and alerts, but the technique comes with significant challenges.
The asset manager has adopted materiality tools, industry handbooks, and NLP techniques to help navigate ESG data limitations.
The two banks outline their ambitious data governance programs, which make business professionals culpable for their organization's data decisions.
Experts from IBM and Bank of China say they're on the lookout for this emerging threat, as machine learning gains in popularity.
Instead of waiting for data quality to be sufficient to power AI models, those at the cutting edge are building models to bridge the gaps in the data, and apply it to more sophisticated use cases.