Generated October 3, 2026.
Overview
AGG and BND are both broad-market U.S. bond ETFs tracking variants of the Bloomberg Aggregate Bond Index. They hold nearly identical portfolios—Treasuries, investment-grade corporates, and mortgage-backed securities—but BND uses a float-adjusted methodology while AGG uses the standard index. The funds are functionally interchangeable for most investors, with nearly identical costs and yields.
How they differ
The single largest difference is their underlying index methodology: BND tracks the Bloomberg U.S. Aggregate Float Adjusted Index, which weights holdings by market capitalization adjusted for free float, while AGG tracks the standard Bloomberg U.S. Aggregate Bond Index. In practice, this creates only marginal differences in sector and security weighting. Both charge 0.03%, distribute 4.25% annually, and pay monthly. BND holds $162B in assets versus $137B for AGG, making BND the larger fund. Their betas are virtually identical (0.98 vs. 0.99), confirming they move with broad bond market conditions at nearly the same rate.
Who each is best for
- AGG: Fits investors seeking the original Bloomberg Aggregate methodology and the fund's longer track record, which extends back to 09/22/2003.
Key risks to know
- Interest rate sensitivity. Both funds have duration exposure aligned with the broad U.S. bond market; rising rates will compress NAV, and falling rates will expand it. A 1% rate increase typically erodes aggregate bond fund values by 5–7%.
- Credit spread risk. The corporate and mortgage-backed portions (roughly 30–40% of holdings) are sensitive to credit conditions. Widening spreads during recessions or financial stress compress returns independent of Treasury moves.
- Index concentration overlap. Both funds hold the same core securities (Treasuries dominate; the top issuer is the U.S. government across all maturities). Their exposures will move nearly in lockstep; holding both adds minimal diversification benefit and should be verified against your overall portfolio overlap. The practical difference between them is negligible for most investors—the real choice hinges on platform preference and existing fund relationships rather than performance or fee gaps.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.