What Moves Like EMB

iShares J.P. Morgan USD Emerging Markets Bond ETF Fund · Nasdaq

The tradable tickers whose daily moves track EMB most closely over the past year, filtered to risk comparable with EMB's own.

Closest match

VWOB Vanguard Emerging Markets Government Bond ETF — 0.984 correlation over the past year, and about as volatile as EMB.

252 sessions to 2026-09-10 · EMB volatility 5.7% annualised · $581.0M a day
Ticker 1-year correlation 3-year Volatility vs EMB Risk What it is
VWOB Vanguard Emerging Markets Government Bond ETF
0.984
0.985 0.93× similar Fund
PCY Invesco Emerging Markets Sovereign Debt ETF
0.960
0.944 1.30× 30% choppier Fund
EMHY iShares J.P. Morgan EM High Yield Bond ETF
0.926
0.933 0.98× similar Fund
XEMD BondBloxx JP Morgan USD Emerging Markets 1-10 Year Bond ETF
0.913
0.917 0.83× 17% calmer Fund
CGMS Capital Group U.S. Multi-Sector Income ETF
0.885
0.863 0.62× 38% calmer Fund
JPIB JPMorgan International Bond Opportunities ETF
0.876
0.785 0.63× 37% calmer Fund
AOK iShares Core 30/70 Conservative Allocation ETF
0.865
0.873 1.07× similar Fund
DFGP Dimensional Global Core Plus Fixed Income ETF
0.862
0.73× 27% calmer Fund
ANGL VanEck Fallen Angel High Yield Bond ETF
0.859
0.844 0.77× 23% calmer Fund
KORP American Century Diversified Corporate Bond ETF
0.856
0.844 0.75× 25% calmer Fund
FALN iShares Fallen Angels USD Bond ETF
0.855
0.837 0.81× 19% calmer Fund
IGIB iShares 5-10 Year Investment Grade Corporate Bond ETF
0.853
0.855 0.73× 27% calmer Fund
DGCB Dimensional Global Credit ETF
0.851
0.72× 29% calmer Fund
VPLS Vanguard Core Plus Bond ETF
0.849
0.63× 37% calmer Fund
IBDY iShares iBonds Dec 2033 Term Corporate ETF
0.847
0.844 0.72× 28% calmer Fund
IGEB iShares Investment Grade Systematic Bond ETF
0.846
0.867 0.72× 28% calmer Fund
PHYL PGIM Active High Yield Bond ETF
0.845
0.838 0.60× 40% calmer Fund
BNDI NEOS Enhanced Income Aggregate Bond ETF
0.844
0.842 0.73× 27% calmer Fund
BYLD iShares Yield Optimized Bond ETF
0.843
0.889 0.69× 31% calmer Fund
VCIT Vanguard Intermediate-Term Corporate Bond ETF
0.843
0.851 0.73× 27% calmer Fund
HYG iShares iBoxx $ High Yield Corporate Bond ETF
0.841
0.853 0.67× 33% calmer Fund
HYDB iShares High Yield Systematic Bond ETF
0.841
0.844 0.67× 33% calmer Fund
CGCP Capital Group Core Plus Income ETF
0.840
0.814 0.65× 35% calmer Fund
SCHI Schwab 5-10 Year Corporate Bond ETF
0.840
0.846 0.74× 26% calmer Fund
BSCX Invesco BulletShares 2033 Corporate Bond ETF
0.839
0.824 0.70× 30% calmer Fund

Showing 25 of 30 tickers that qualified. Correlation is of daily returns; 1.000 would mean moving in lockstep, 0.000 no relationship at all.

What this is for

Three questions, one number behind all of them.

How to read the two correlation columns

The one-year figure is what the relationship looks like now. The three-year figure is what it has looked like over a longer stretch. Comparing them is the point: when they agree, the relationship is structural and likely to hold. When the one-year number is far below the three-year one, something has changed — a shift in business mix, an index reconstitution, a sector that has stopped moving together — and the recent figure is the one to trust less, not more.

Correlation measures whether two things move together, not whether they move by the same amount. That is why the volatility column is there. Two tickers can correlate at 0.99 while one swings half again as hard, and swapping one for the other would quietly change how much risk you are carrying.

What was deliberately left out

Ranking purely by correlation produces answers that are mathematically perfect and practically useless. The closest matches to AAPL by raw correlation are leveraged AAPL funds at 0.999 — correct, and not replacements for anything. Four filters run before a ticker is allowed to appear:

Where all of that leaves a ticker with no close match, the page says so. A stock with no substitute is a real and useful finding, and inventing a loose one to fill the table would be worse than an empty answer.

Limits, stated up front

Where the numbers come from

Correlations are computed in-house from a daily price history and rebuilt every night. What gets published is the derived statistic — a correlation coefficient, a volatility ratio, an observation count — and nothing from which a price or return series could be reconstructed. The rest of the Markets section is on the Markets overview, including futures positioning extremes and SEC Form 4 insider transactions.