Key Takeaways
- • EPFR launches Fixed Income Flows and Holdings dataset on February 22, 2022, providing monthly fund-level securities data across over 50,000 fixed income securities with historical records dating back to 2018.
- • Dataset enables institutional clients to analyze bond ownership patterns across multiple fund groups using filters for fund geo-focus, sector focus, trading currency, maturity date, and comparative analysis across active vs. passive and institutional vs. retail fund categories.
- • Debt Capital Markets desks can leverage the monthly data updates to identify which managers are increasing positions, which funds are attracting inflows, and which entities hold specific corporate debt—enabling competitive differentiation in pitch books to issuers.
- • Data access accelerates decision-making timelines for fixed income market participants by providing monthly rather than quarterly updates, critical for DCM teams operating in fast-paced environments requiring current market intelligence.
Summary
The dataset delivers comprehensive insights into bond ownership patterns across multiple fund groups while offering sophisticated filtering and analytical capabilities. Clients can segment data by fund geographic focus, sector concentration, trading currency, and maturity date. The platform also supports comparative analysis across institutional versus retail funds, active versus passive strategies, and domestic versus foreign fund categories. Historical data extends back to 2018, enabling quantitative analysis and multi-year modeling of fixed income allocation trends.
Mike Digris, EPFR Head of Data, emphasized the strategic value of the offering: "Access to this information and the associated securities metadata paves the way for better investment decisions." The dataset allows clients to track individual securities as they are bought and sold while monitoring rollups across various allocations. Cameron Brandt, EPFR Director of Research, highlighted the timing advantage for Debt Capital Markets professionals: "We know DCM teams work in fast-paced environments and require very up-to-date data on fixed-income markets."
Debt Capital Markets desks represent a primary use case for the platform. These teams can leverage the data to provide corporate issuers with clear visibility into ownership of their outstanding debt, identify which managers are expanding positions, and track which funds are attracting capital inflows. This intelligence enables DCM desks to incorporate data-driven insights into pitch books and competitive positioning when pursuing underwriting mandates, particularly valuable in competitive bidding environments where differentiation is essential.
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