What Moves Like STPZ

PIMCO 1-5 Year U.S. TIPS Index Exchange-Traded Fund Fund · NYSE Arca

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

Closest match

STIP iShares 0-5 Year TIPS Bond ETF — 0.924 correlation over the past year, and 20% calmer than STPZ.

About STPZ

Annualised volatility 1.9%
Beta vs SPY 0.01
Market correlation 0.049
Traded per day $2.3M
252 sessions to 2026-09-10 · STPZ volatility 1.9% annualised · $2.3M a day
Ticker 1-year correlation 3-year Volatility vs STPZ Risk What it is
STIP iShares 0-5 Year TIPS Bond ETF
0.924
0.874 0.80× 20% calmer Fund
VTIP Vanguard Short-Term Inflation-Protected Securities Index Fund ETF Shares
0.913
0.831 0.82× 18% calmer Fund
TDTT Northern Trust iBoxx 3-Year Target Duration TIPS ETF
0.891
0.890 1.01× similar Fund
TIPX State Street SPDR Bloomberg 1a??10 Year TIPS ETF
0.838
0.891 1.41× 41% choppier Fund
VGSH Vanguard Short-Term Treasury ETF
0.657
0.743 0.68× 32% calmer Fund
UTWO US Treasury 2 Year Note ETF
0.651
0.711 0.70× 30% calmer Fund
SPTS State Street SPDR Portfolio Short Term Treasury ETF
0.649
0.733 0.69× 31% calmer Fund
IBTJ iShares iBonds Dec 2029 Term Treasury ETF
0.639
0.733 1.16× 16% choppier Fund
IBTI iShares iBonds Dec 2028 Term Treasury ETF
0.630
0.731 0.80× 20% calmer Fund
BSV Vanguard Short-Term Bond ETF
0.627
0.734 0.94× similar Fund
SHY iShares 1-3 Year Treasury Bond ETF
0.622
0.733 0.71× 29% calmer Fund
JSCP JPMorgan Short Duration Core Plus ETF
0.617
0.710 0.93× similar Fund
IEI iShares 3-7 Year Treasury Bond ETF
0.616
0.746 1.59× 59% choppier Fund
IBTK iShares iBonds Dec 2030 Term Treasury ETF
0.613
0.720 1.51× 51% choppier Fund
SCHO Schwab Short-Term U.S. Treasury ETF
0.609
0.716 0.71× 29% calmer Fund
NEAR iShares Short Duration Bond Active ETF
0.604
0.635 0.71× 29% calmer Fund
BSCS Invesco BulletShares 2028 Corporate Bond ETF
0.593
0.662 0.79× 21% calmer Fund
ISTB iShares Core 1-5 Year USD Bond ETF
0.589
0.730 0.96× similar Fund
USTB VictoryShares Short-Term Bond ETF
0.588
0.658 0.66× 34% calmer Fund
AVSF Avantis Short-Term Fixed Income ETF
0.588
0.663 1.01× similar Fund
SUSB iShares ESG Aware 1-5 Year USD Corporate Bond ETF
0.586
0.691 1.06× similar Fund
SLQD iShares 0-5 Year Investment Grade Corporate Bond ETF
0.585
0.668 0.81× 19% calmer Fund
IBDT iShares iBonds Dec 2028 Term Corporate ETF
0.585
0.673 0.80× 20% calmer Fund
EVSD Eaton Vance Short Duration Income ETF
0.583
0.85× 15% calmer Fund
IGSB iShares 1-5 Year Investment Grade Corporate Bond ETF
0.583
0.692 1.04× similar 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.