What Moves Like CEMB

iShares J.P. Morgan EM Corporate Bond ETF Fund · Cboe BZX

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

Closest match

CGMS Capital Group U.S. Multi-Sector Income ETF — 0.833 correlation over the past year, and 13% choppier than CEMB.

About CEMB

Annualised volatility 3.1%
Beta vs SPY 0.15
Market correlation 0.619
Traded per day $1.8M
252 sessions to 2026-09-10 · CEMB volatility 3.1% annualised · $1.8M a day
Ticker 1-year correlation 3-year Volatility vs CEMB Risk What it is
CGMS Capital Group U.S. Multi-Sector Income ETF
0.833
0.821 1.13× 13% choppier Fund
IBDY iShares iBonds Dec 2033 Term Corporate ETF
0.828
0.816 1.32× 32% choppier Fund
BGRN iShares USD Green Bond ETF
0.825
0.805 0.95× similar Fund
IGIB iShares 5-10 Year Investment Grade Corporate Bond ETF
0.824
0.830 1.32× 32% choppier Fund
VPLS Vanguard Core Plus Bond ETF
0.822
1.15× 15% choppier Fund
BSCX Invesco BulletShares 2033 Corporate Bond ETF
0.820
0.789 1.27× 27% choppier Fund
DFGP Dimensional Global Core Plus Fixed Income ETF
0.818
1.33× 33% choppier Fund
GTO Invesco Total Return Bond ETF
0.815
0.770 1.10× similar Fund
BNDI NEOS Enhanced Income Aggregate Bond ETF
0.813
0.808 1.33× 33% choppier Fund
VCIT Vanguard Intermediate-Term Corporate Bond ETF
0.813
0.825 1.32× 32% choppier Fund
DFCF Dimensional Core Fixed Income ETF
0.811
0.774 1.28× 28% choppier Fund
KORP American Century Diversified Corporate Bond ETF
0.810
0.810 1.37× 37% choppier Fund
IGEB iShares Investment Grade Systematic Bond ETF
0.810
0.838 1.31× 31% choppier Fund
JCPB JPMorgan Core Plus Bond ETF
0.810
0.772 1.18× 18% choppier Fund
SCHI Schwab 5-10 Year Corporate Bond ETF
0.809
0.820 1.34× 34% choppier Fund
PHYL PGIM Active High Yield Bond ETF
0.807
0.778 1.10× 10% choppier Fund
SPIB State Street SPDR Portfolio Intermediate Term Corporate Bond ETF
0.807
0.822 0.92× similar Fund
CGCP Capital Group Core Plus Income ETF
0.806
0.789 1.19× 19% choppier Fund
USIG iShares Broad USD Investment Grade Corporate Bond ETF
0.805
0.834 1.31× 31% choppier Fund
DGCB Dimensional Global Credit ETF
0.804
1.31× 31% choppier Fund
CORP PIMCO Investment Grade Corporate Bond Index Exchange-Traded Fund
0.804
0.795 1.31× 31% choppier Fund
HFSI Hartford Strategic Income ETF
0.803
0.781 1.09× similar Fund
IUSB iShares Core Universal USD Bond ETF
0.802
0.795 1.14× 14% choppier Fund
FBND Fidelity Total Bond ETF
0.802
0.786 1.21× 21% choppier Fund
BSCW Invesco BulletShares 2032 Corporate Bond ETF
0.800
0.800 1.22× 22% choppier 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.