SimCorp, a global leader in financial technology, today announced a strategic partnership with Yield Book, an LSEG Analytics business SaaS platform and leading provider of fixed income models, analytics, and data products.
Yield Book products offer analytical insight into an extensive range of financial products in the fixed income space including governments and corporates bonds, US municipal bonds, mortgages and asset-backed securities and a wide variety of derivatives.
Through this partnership, SimCorp’s clients will be able to complement its market-leading Axioma risk solutions with Yield Book to deliver best-in-class analytics for securitized debt. This integration will provide SimCorp clients with seamless access to sophisticated fixed income analytics including risk forecasting, sensitivity analysis, stress testing and factor-based decomposition of risk. These capabilities will help institutional investors to drill into the risk factors that are unique to this asset class and help them make better investment and risk decisions.
“This partnership extends the depth of our fixed income capabilities by leveraging Yield Book’s market-renowned prepayment models and analytics directly within our products to support the most sophisticated fixed income and multi-asset managers. This is another step toward enabling faster and more informed investment decisions,” said Allen Zimmerman, Managing Director, Head of Americas at SimCorp.”
Emily Prince, Group Head of Analytics at LSEG, commented, “We are delighted to broaden LSEG’s partnership with SimCorp. The integration of Yield Book’s best-in-class fixed income analytics with Axioma Risk enables more clients with market-leading data, analytics and risk management tools at their fingertips.”
Yield Book is part of LSEG’s Data and Analytics division. This announcement builds on SimCorp's existing collaboration with LSEG Data & Analytics for market and reference data, established in 2024. It enables faster access to LSEG data across the investment platform SimCorp One, allowing mutual clients to execute data-driven decision-making more efficiently.