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

Moody’s Analytics Introduces Sovereign Correlations to RiskFrontier 3.0

Subscribe to our newsletter

Moody’s Analytics, a leader in enterprise risk management solutions, today announced the release of RiskFrontier 3.0, the latest version of its credit portfolio management and economic capital calculation solution. This release features a new sovereign risk correlation model that enables financial institutions to better quantify and manage the sovereign risk exposure in their portfolios.

The new sovereign correlation module, an extension of  GCorr, Moody’s Analytics’ industry-leading, global multi-factor asset correlation model, helps credit portfolio managers assess their sovereign risk by quantifying the correlation between sovereigns, as well as the correlation between sovereigns and other asset classes. The sovereign risk model captures sovereign risk for 89 sovereigns and territories, which accounts for 99.5% of sovereign debt issuance.

“The new model incorporates factors that explain regional sovereign credit deterioration, commonly observed with contagion events,” said Dr. Amnon Levy, Managing Director of Portfolio Research.

RiskFrontier 3.0 also includes a new model for capturing the risks associated with defaulted assets.  The model allows users to quantify recovery values that take into account portfolio correlation. This release also introduces new ways to assess and manage the portfolio, including the ability to analyze any subset of a given portfolio. Using this feature, clients can now quickly and easily perform “what-if” analysis by filtering a portfolio based on any combination of user-defined variables.

For users measuring portfolio performance against a benchmark, RiskFrontier 3.0 also introduces the ability to perform “what-if” analysis to assess the impact of a portfolio strategy under the current economic environment as well as against economically stressed scenarios.

The new release also improves the utility of DealAnalyzer, RiskFrontier’s deal analysis tool, by allowing for the analysis of new deals against stressed portfolios, merged portfolios and relative risk portfolios.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

Anthropic’s Financial Industry Claude Iteration Aimed at Easing AI Adoption

Large language model (LLM) builder Anthropic may have the solution to assuaging financial institutions’ doubts about generative artificial intelligence deployment in their analytics and decision-making workflows, having created a model that has been designed specifically for the industry. Claude for Financial Services, part of the San Francisco-based company’s Claude for Enterprise suite, comprises capabilities that...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Hosted/Managed Services

The on-site data management model is broken. Resources have been squeezed to breaking point. The industry needs a new operating model if it is truly to do more with less. Can hosted/managed services provide the answer? Can the marketplace really create and maintain a utility-based approach to reference data management? And if so, how can...