About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Cusips Adopted as Numbering Scheme In New Syndicated Loan Service

Subscribe to our newsletter

The Loan Syndications and Trading Association (LSTA) has teamed up with Standard & Poor’s to launch a new service that provides Cusip and Cusip-based ISIN numbers along with core descriptive data for syndicated loan deals and facilities. Currently the syndicated loan market uses different IDs to represent in the same credit in proprietary systems used by administrative agents, lenders, traders, potential buyers, regulators and various pricing and ratings vendors. The new Syndicated Loan Service uses the Cusip system to establish a common numbering system to reference syndicated loans in the corporate loan market. The initial release contains approximately 2,000 Cusip numbers for deals and facilities. The subscription services contains daily additions and changes to deals as released by the 21 administrative agents currently applying for Cusip numbers (which covers 80 percent of the corporate loan market).

The LSTA, the trade association for corporate lending and loan trading, formed a committee back in November 1999 to address the issue of unique identifiers for syndicated loans. It was decided that adopting the Cusip numbering scheme, as well as being endorsed by the American National Standards Institute (ANSI) and the Association of National Numbering Agencies (ANNA), would provide a number of benefits. These include precise exchange of information, reconciliation and increased efficiencies and improved settlement times, among others.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Rush to Build AI into Risk Models Creating Dangerous Capability ‘Gaps’

Asset managers may be exposing themselves to operational vulnerabilities as they rapidly integrate artificial intelligence and agents into their risk management systems, often without first ensuring trust in the data that will feed the models. A survey found that three-quarters of 178 senior investment leaders questioned said they expect the pace of AI and agents...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...