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 Adds GlobalRating Group Ratings to Credit Ratings, Conducts Research on Benchmark Indices

Subscribe to our newsletter

Interactive Data Corporation’s Pricing and Reference Data business has added credit ratings from the GlobalRating Group to its Credit Ratings – Emerging Markets service. The vendor has also released the results of its recent quantitative research comparing international mutual funds with relevant benchmark indices.

Anthony Neville, divisional director, Interactive Data (Europe), explains the impact of the addition: ” The service now covers the increasingly important markets of Russia, Kazakhstan, Armenia and Azerbaijan to complement the existing wide range of credit information from many other established contributors.”

Interactive Data’s emerging markets ratings service is a source of credit information for more than 80 emerging market economies, containing over 8,000 issuer ratings from over 35 international and local rating agencies, says the vendor.

The vendor has also announced the results of its quantitative research into international mutual funds and their relation to benchmark indices. According to Interactive Data, statistical analysis revealed that comparing the performance of international mutual funds that use fair value adjustments with their proxy benchmark indices can be misleading if the benchmark indices fail to employ fair value principles.

The study found that if proxy benchmark indices used fair value principles, tracking error, which is a common metric in gauging fund performance, for international mutual funds may be significantly reduced.

These findings are contained in a study conducted by Robert Haddad, senior manager of evaluated services, Interactive Data Pricing and Reference Data. In his research, Haddad reviewed public net asset value (NAV) data from April 2004 to March 2008 for a sample of 166 US mutual funds investing in international equities, each representing a distinct fund family.

As part of the research, he estimated the daily tracking error during this four year period by comparing the returns of these international funds to the returns of a pair of proxy benchmark indices, with one using local closing prices and the other using evaluated prices from Interactive Data’s Fair Value Information Service.

Tracking error estimates the standard deviation of the differences between a mutual fund’s returns versus those of a comparable benchmark index. It is often used by fund managers and investors to gauge a level of risk between mutual funds with similar investment styles, relative to comparable benchmark indices. A higher tracking error is generally associated with a perception of higher relative risk in the fund.

Interactive Data’s findings suggest that if international funds only use benchmark indices that are valued based on local closing prices of international equity securities, an inherent bias toward higher tracking error will persist. This bias is amplified on days with higher market volatility. However, if fair valuation principles are also applied to international benchmark indices, the result is a reduction in tracking error and a more accurate comparison for measuring fund performance.

Haddad comments: “Our research estimates that approximately 93% of international mutual funds employ a systematic approach to fair valuation of international equities. The pervasiveness of this practice among international funds, along with the extensive analysis of fund performance measurements by investors, and the findings of our study, suggest that the mutual fund community can benefit from an introduction of fair value adjusted benchmark indices.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Are you making the most of the business-critical structured data stored in your mainframes?

17 June 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Fewer than 30% of companies think that they can fully tap into their mainframe data even though complete, accurate and real-time data is key to business decision-making, compliance, modernisation and innovation. For many in financial markets, integrating data across the enterprise...

BLOG

LSEG-D&B Collaboration Underscores Demand for Private Market Data

The London Stock Exchange Group (LSEG) has joined a growing list of major vendors and institutions that have launched data products to help asset managers better assess private markets. London-based LSEG has collaborated with private-market specialist Dun & Bradstreet to help its users better identify opportunities and risks within the alternatives space. The partnership comes...

EVENT

AI in Capital Markets Summit New York

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...