What Moves Like EELV

Invesco S&P Emerging Markets Low Volatility ETF Fund · NYSE Arca

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

Closest match

EDIV State Street SPDR S&P Emerging Markets Dividend ETF — 0.869 correlation over the past year, and 17% choppier than EELV.

252 sessions to 2026-09-10 · EELV volatility 11.0% annualised · $1.0M a day
Ticker 1-year correlation 3-year Volatility vs EELV Risk What it is
EDIV State Street SPDR S&P Emerging Markets Dividend ETF
0.869
0.843 1.17× 17% choppier Fund
VYMI Vanguard International High Dividend Yield ETF
0.848
0.846 1.20× 20% choppier Fund
JIVE JPMorgan International Value ETF
0.830
0.830 1.39× 39% choppier Fund
WWJD Inspire International ETF
0.830
0.839 1.32× 32% choppier Fund
EMLC VanEck J. P. Morgan EM Local Currency Bond ET
0.826
0.755 0.66× 34% calmer Fund
IQDF Northern Trust International Quality Dividend ETF
0.825
0.832 1.46× 46% choppier Fund
GSIE Goldman Sachs ActiveBeta International Equity ETF
0.823
0.811 1.32× 32% choppier Fund
INTF iShares International Equity Factor ETF
0.822
0.805 1.37× 37% choppier Fund
IDEV iShares Core MSCI International Developed Markets ETF
0.821
0.819 1.39× 39% choppier Fund
EBND State Street SPDR Bloomberg Emerging Markets Local Bond ETF
0.819
0.759 0.65× 35% calmer Fund
AVNM Avantis All International Markets Equity ETF
0.819
0.844 1.50× 50% choppier Fund
VXUS Vanguard Total International Stock ETF
0.818
0.843 1.55× 55% choppier Fund
IEFA iShares Core MSCI EAFE ETF
0.818
0.814 1.43× 43% choppier Fund
DIVI Franklin International Core Dividend Tilt Index ETF
0.817
0.804 1.40× 40% choppier Fund
DFAI Dimensional International Core Equity Market ETF
0.817
0.816 1.34× 34% choppier Fund
DFAX Dimensional World ex U.S. Core Equity 2 ETF
0.817
0.848 1.52× 52% choppier Fund
APIE ActivePassive International Equity ETF
0.816
0.777 1.54× 54% choppier Fund
IXUS iShares Core MSCI Total International Stock ETF
0.816
0.843 1.57× 57% choppier Fund
AVDE Avantis International Equity ETF
0.816
0.817 1.39× 39% choppier Fund
VEU Vanguard FTSE All World Ex US ETF
0.815
0.841 1.56× 56% choppier Fund
ACWX iShares MSCI ACWI ex U.S. ETF
0.814
0.838 1.59× 59% choppier Fund
EFA iShares MSCI EAFE ETF
0.813
0.810 1.43× 43% choppier Fund
BKIE BNY Mellon International Equity ETF
0.813
0.298 1.39× 39% choppier Fund
DFIC Dimensional International Core Equity 2 ETF
0.812
0.819 1.31× 31% choppier Fund
ESGD iShares ESG Aware MSCI EAFE ETF
0.812
0.808 1.45× 45% 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.