M&G Investments has adopted and customised Bloomberg’s enterprise-level research management solutions ( Bloomberg RMS Enterprise) to strengthen the firm’s alpha-generating research process.
Developed in collaboration between Bloomberg and M&G, the platform aligns with M&G’s global operating model and supports collaboration across asset classes, cross-asset analysis and sustainable finance research. The system also integrates AI-powered tools, including document search and analysis on the Bloomberg Terminal, to streamline workflows.
M&G’s investment professionals will now be able to bring together their own proprietary research with Bloomberg’s extensive research library, linking rating methodologies and internal insights with real-time market data through Bloomberg’s analytical tools. RMS Enterprise also offers an administration suite, which can integrate with M&G’s proprietary systems for ensuring consistent research processes across offices.
Bloomberg said its RMS Enterprise solution helps investment managers streamline research and analysis by integrating data and analytics from Bloomberg and partners into their workflows, making it easier to share insights faster.
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Fabiana Fedeli, chief investment officer, equities, multi-asset and sustainability at M&G Investments, commented: “We invest in a complex world, where understanding the impact of geopolitics, policymaking and technology innovation on capital markets is essential to deliver superior risk-adjusted returns to our clients. For active asset managers such as M&G, in-depth proprietary research represents a foundational tool to generate new investment opportunities globally and across all asset classes. Thanks to the close collaboration of M&G’s investment team and Bloomberg, we have now created a bespoke tool that fits M&G’s ambitions of excellence in proprietary research.”
Andrew Skala, global head of research and companies product at Bloomberg, said: “The universe of financial information around investment professionals is changing at warp speed as emerging technologies and portfolio management styles have led to data en masse and analytical tools for a wide array of assets. The most knowledgeable buy-side firms like M&G Investments have adapted by scaling their tech stacks with RMS Enterprise and using research solutions on the Bloomberg Terminal for AI-augmented workflows that transform financial analysis for maximum productivity and idea generation.”
