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Woofun AI reports that Fidelity Investments has expanded its institutionally managed Separately Managed Account (SMA) product line by adding 6 custom strategies and 2 model strategies for Registered Investment Advisors (RIAs) and brokerage clients. The new additions include the Fidelity Institutional Tax-Managed Enhanced Equity strategy and the Fidelity Institutional Tax-Managed Fundamental Equity strategy, which cover large-cap core, growth, and value styles. The Enhanced Equity strategy uses a benchmark-tracking framework to seek excess returns through diversified alpha factors, while the Fundamental Equity strategy relies on systematic portfolio construction and high-conviction stock selection.
These strategies are now available via Fidelity’s customized SMA platform, which integrates with the Fidelity Wealthscape brokerage platform to assist wealth management firms with account opening, strategy customization, execution, and portfolio monitoring. Amanda Robinson, Head of Wealth Advisor Management Solutions Distribution at Fidelity, stated that growing demand for personalized investment experiences requires more flexible asset management tools. Since launching its institutional customized SMA product line in 2022, Fidelity has expanded standardized SMA strategies to 50 and supports custom allocation solutions.
Additionally, two new equity model SMA strategies, including the Fidelity Institutional Blue Chip Growth Focused Model SMA and the Fidelity Institutional Small Growth Focused Model SMA, are available for integration into Unified Managed Account (UMA) structures. Fidelity currently offers 8 active equity model SMA strategies covering U.S. equities, sectors, and international markets, alongside 5 factor model strategies and 2 index model strategies accessible through Fidelity Managed Account Xchange (FMAX) and third-party platforms. These strategies are developed by the Quantitative Research and Investments team within Fidelity Asset Management, comprising over 250 quantitative analysts, data scientists, and technologists who leverage proprietary data, systematic methods, and artificial intelligence to identify investment opportunities.