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

Recorded Webinar: Unpacking Stablecoin Challenges for Financial Institutions

The stablecoin market is experiencing unprecedented growth, driven by emerging regulatory clarity, technological maturity, and rising global demand for a faster, more secure financial infrastructure. But with opportunity comes complexity, and a host of challenges that financial institutions need to address before they can unlock the promise of a more streamlined financial transaction ecosystem. These...

BLOG

12 Leading Vendors Operationalising AI & ML with Robust Data Pipelines

The transition of artificial intelligence and machine learning (ML) models from experimental sandboxes to production environments remains a persistent operational friction point. While quantitative researchers and data scientists can often demonstrate alpha in isolated backtesting environments, the institutionalisation of these models requires a level of data pipeline robustness, latency control and regulatory auditability that research...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Regulatory Data Handbook 2021/2022 – Ninth Edition

Welcome to the ninth edition of A-Team Group’s Regulatory Data Handbook, a publication dedicated to helping you gain a full understanding of regulations related to your organisation from the details of requirements to best practice implementation. This edition of the handbook includes a focus on regulations being rolled out to bring order and standardisation to...