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

A-Team Insight Blogs

Interactive Data to Provide Evaluations for US Residential Whole Loans

Subscribe to our newsletter

Interactive Data Corporation, a provider of financial market data, analytics and related solutions, today announced that it will offer a new evaluations service for US whole loans (non-securitised residential mortgage loans). This service is expected to be available in the second quarter of this year.

The new evaluations service can help financial institutions with the valuation of whole loans, which are becoming increasingly more common in banks’ holdings. According to Federal Reserve data, commercial banks’ residential whole loan assets totalled US$1.56 trillion as of 12 January 2011. Utilising a combination of powerful computational processing and analytical expertise in providing evaluated pricing for a wide variety of fixed-income instruments, Interactive Data is building an innovative service to provide evaluated prices for residential whole loans based on observable inputs from the securities markets.

The new service, which will cover both performing and non-performing whole loans, complements the Company’s current offerings related to securitised debt and other asset classes, which include: US agency pass-through securities, agency and non-agency collateralised mortgage obligations, asset-backed securities, and commercial mortgage-backed securities. Interactive Data provides evaluations for an estimated 98 percent of outstanding US structured securities.

“Our new offering leverages Interactive Data’s team of experienced evaluators with extensive knowledge of the whole loan market, along with an advanced parallel processing platform,” said Liz Duggan, managing director, Global Evaluations for Interactive Data. “As with many of our initiatives, this effort was driven directly by our clients’ demand for a unique service to address a growing asset class where there is currently limited or no independent evaluations coverage.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Augmented data quality: Leveraging AI, machine learning and automation to build trust in your data

Date: 19 September 2024 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Artificial intelligence and machine learning are empowering financial institutions to get more from their data. By augmenting traditional data processes with these new technologies, organisations can automate the detection and mitigation of data issues and errors before they become...

BLOG

The Potential and Pitfalls of Large Language Models

By Tony Seale, Knowledge Graph Engineer at Tier 1 Bank. Large Language Models (LLMs) like ChatGPT possess enormous power, stemming from their capability to ingest and compress vast amounts of general information gathered from the web. However, this capability is general rather than tailored to your specific business needs. To effectively utilise these models in...

EVENT

RegTech Summit New York

Now in its 8th year, the RegTech Summit in New York will bring together the regtech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Impact of Derivatives on Reference Data Management

They may be complex and burdened with a bad reputation at the moment, but derivatives are here to stay. Although Bank for International Settlements figures indicate that derivatives trading is down for the first time in 10 years, the asset class has been strongly defended by the banking and brokerage community over the last few...