Thomson Reuters, the world's leading source of intelligent information for businesses and professionals, today announced that it has enhanced its credit risk capabilities, by adding StarMine Credit Default models to its DataScope suite, bringing together on one platform reference data, core ratings agency data, pricing and analytics.
The Thomson Reuters proprietary StarMine Credit Default models provide data services that enable automated and continuous monitoring and review processes to improve a firm’s ability to predict credit events as early as possible.
Regulations such as the Basel accords and Dodd-Frank outline how firms should assess their credit risk exposure, underscoring the need for greater focus on risk management to meet compliance requirements. “Whether we look at the sell-side or the buy-side, one thing is clear: the need for firms to manage their credit risk has become a top agenda action item. This increased focus has led firms to improve their credit risk capabilities, requiring accurate, timely and independent data,” said Kate Toumazi, global head of Risk Data Services at Thomson Reuters. “With our credit risk tools, we offer firms the ability to identify, measure, monitor and manage credit risk. Our innovative credit default models provide clients with the ability to evaluate the probability that a company will go bankrupt or default on its debt obligations by looking at a variety of data sources – from equity markets, financial analysis and intelligent language analysis of textual documents – offering greater insight to clients on the potential credit risk exposures in their portfolios,” Toumazi added.
Thomson Reuters credit risk capabilities provide access to 388 different credit agency ratings alongside the proprietary credit models from StarMine, for a more holistic credit risk picture. Thomson Reuters credit risk capabilities also include entity hierarchy information, including countries of risk data to provide a granular assessment of exposure to risk, fundamentals content allowing clients to calculate key ratios, as well as news sentiment scoring to facilitate automation of alerts to news that may have a credit impact. In addition, users can access key reference data, legal entity indicators (LEIs), cross-referenced entity codes, as well as evaluated pricing of 2.5 million securities with full transparency into methodologies and comprehensive CDS pricing.