Investment banks and asset managers need to use multiple credit rating agencies (CRAs) in their business practices. Security master and infrastructure development have created outsized costs and continue to become more complex as data requirements increase. To map fixed income holdings via a common data layer can take multiple development streams and time-consuming processes to validate that a security is appropriately assigned across a common identifier (ID). Data must then be adequately maintained to ensure overall quality. As the associated datasets linked with a security or issuer increases, the need to streamline the linking process does, as well.

The technology and data science teams at investment banks and asset managers have been searching for a simplified approach. As a provider of S&P Global Ratings, S&P Global Market Intelligence ("Market Intelligence") was aware of the need for data that can be easily ingested and mapped to a company's existing databases. In response, specialists at Market Intelligence developed a consolidated ratings feed so that ratings across providers can be delivered via a common ID and delivery channel.

Pain Points

Investment banks and asset managers deal with many data providers that deliver information via disparate IDs and delivery channels. It is an enormous challenge to link and maintain these data items calling for:

• A common delivery channel and use of IDs across fixed-income instruments.
• Reduced mapping and database maintenance.
• Faster delivery of credit ratings into internal systems, including trading, compliance, risk and research.

Teams have turned to Market Intelligence to discuss possible solutions.

With increased data needs, finding solutions for easy implementation and mapping across ID’s is paramount for investment banks and asset managers to keep data management costs down while ensuring quality across security masters.

Potential benefits of a single feed solution

• Run just one query to retrieve a security drawn down from the same MTN program that is rated by S&P Global Ratings, Moody’s and Fitch.
• Seamlessly retrieve the same rating category by:
• • CRA
  • Issuer (via S&P Capital IQ ID (CIQID))
  • Debt Type
  • craSaleID (in Moody’s)
  • Rating Class
• Run a single query to retrieve a long-term local currency rating of an issuer and include the history of corporate actions across multiple CRAs

The Solution

Specialists from Market Intelligence acknowledged that firms receive credit ratings data from individual CRAs in separate formats and packages, with no unified method to consolidate this information. As a result, subscribers lack a comprehensive view of the ratings assigned to an issuer or issue by various agencies, making it difficult to have all relevant data in one place for thorough analysis.

As a result, Market Intelligence developed a unified offering to deliver current and historical ratings from S&P Global Ratings, Moody’s and Fitch via a range of options, including Xpressfeed^TM, cloud-based Snowflake, Xpress API and APIDrive that comprise a powerful suite of data delivery solutions.

This enhancement enables users to streamline the ingestion and analysis of credit data, facilitating comprehensive risk assessments and reporting without the need to process and query multiple data feeds. It includes:

• A unified data stream that integrates ratings data from all three major CRAs into a single feed with a single common ID, eliminating the need for users to consolidate feeds from multiple vendors.
• Standardized fields that combine common industry-standard fields from bond official statements, such as coupon, maturity date and dated date to simplify data ingestion.
• Consolidated ratings information that merges ratings data (e.g., rating, rating date, Outlook and CreditWatch), where feasible, ensuring that the integrity and accuracy of each agency's ratings are maintained without misinterpretation.

As shown in Figure 1, this streamlined workflow significantly enhances efficiency by providing a holistic view of credit ratings in one place, facilitating better-informed credit risk assessments and decision-making.

This solution provides technology and data science teams with: