Bloomberg will make Credit Benchmark’s credit risk data, derived from risk views of large financial institutions, available on the Bloomberg Terminal and to license for enterprise use cases. The anonymised consensus data adds to existing credit risk datasets and risk indicators, providing complementary content to help market participants assess the credit quality or risk of default of a counterparty, company or entity, all integrated within their existing workflows. Credit Benchmark data can help support risk management, loan and debt underwriting, portfolio optimisation, supply chain risk management, investment idea generation, and is a means of assessing ongoing credit quality.
A-Team Insight Briefs
Bloomberg Adds Credit Benchmark Data
Date: 13 April 2021 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Migrating big data and analytics workflows to the cloud promises significant cost savings through efficient use of infrastructure resources and software that scales dynamically based on data volume, query load, or both. These are valuable gains for investment banks,...
Here at A-Team Group we have been working hard on plans to celebrate innovative projects and teams with the launch of our A-Team Innovation Awards. The awards are designed to reward teams that have found innovative ways to make use of new and emerging technologies to solve challenges at financial institutions in capital markets. The...
Now in its 10th year, the Data Management Summit (DMS) in NYC explores the shift to the new world where data is redefining the operating model and firms are seeking to unlock value via data transformation projects for enterprise gain and competitive edge.
Need to know all the essentials about the regulations impacting data management? Welcome to the Fourth edition of our A-Team Regulatory Data Handbook which provides all the essentials about regulations impacting data management. A-Team’s series of Regulatory Data Handbooks are a great way to see at-a-glance: All the regulations that are impacting data management today A...