What Moves Like EIDO

iShares MSCI Indonesia ETF Fund · NYSE Arca

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

Closest match

TLK PT Telekomunikasi Indonesia, Tbk — 0.597 correlation over the past year, and 25% choppier than EIDO.

252 sessions to 2026-09-10 · EIDO volatility 26.3% annualised · $14.6M a day
Ticker 1-year correlation 3-year Volatility vs EIDO Risk What it is
TLK PT Telekomunikasi Indonesia, Tbk
0.597
0.590 1.25× 25% choppier Telephone Communications (No Radiotelephone)
GVAL Cambria Global Value ETF
0.457
0.423 0.61× 39% calmer Fund
FEMS First Trust Emerging Markets Small Cap AlphaDEX Fund
0.455
0.459 0.67× 33% calmer Fund
WF Woori Financial Group Inc. American Preferred
0.406
0.364 1.33× 33% choppier Commercial Banks, Nec
DGS WisdomTree Emerging Market SmallCap Fund
0.399
0.480 0.67× 33% calmer Fund
NUDM Nuveen ESG International Developed Markets Equity ETF
0.395
0.446 0.62× 38% calmer Fund
EPU iShares MSCI Peru and Global Exposure ETF
0.395
0.378 1.23× 23% choppier Fund
SLX VanEck Steel ETF
0.394
0.387 0.93× similar Fund
IQDF Northern Trust International Quality Dividend ETF
0.394
0.473 0.61× 39% calmer Fund
PICK iShares MSCI Global Select Metals & Mining Producers Fund
0.393
0.423 1.20× 20% choppier Fund
AVNM Avantis All International Markets Equity ETF
0.390
0.473 0.63× 37% calmer Fund
FNDE Schwab Fundamental Emerging Markets Equity ETF
0.389
0.432 0.61× 39% calmer Fund
SPEM State Street SPDR Portfolio Emerging Markets ETF
0.387
0.445 0.67× 33% calmer Fund
EYLD Cambria Emerging Shareholder Yield ETF
0.385
0.420 0.77× 23% calmer Fund
AVDS Avantis International Small Cap Equity ETF
0.385
0.457 0.61× 39% calmer Fund
DFAX Dimensional World ex U.S. Core Equity 2 ETF
0.384
0.469 0.63× 37% calmer Fund
AVES Avantis Emerging Markets Value ETF
0.384
0.449 0.78× 23% calmer Fund
ECH iShares MSCI Chile ETF
0.384
0.385 0.98× similar Fund
SCHE Schwab Emerging Markets Equity ETF
0.383
0.441 0.69× 32% calmer Fund
VWO Vanguard FTSE Emerging Markets ETF
0.382
0.441 0.67× 33% calmer Fund
IQDG WisdomTree International Quality Dividend Growth Fund
0.381
0.445 0.63× 37% calmer Fund
EPHE iShares MSCI Philippines ETF
0.381
0.430 0.75× 25% calmer Fund
EWA iShares MSCI Australia Index Fund
0.380
0.465 0.68× 32% calmer Fund
VXUS Vanguard Total International Stock ETF
0.379
0.468 0.65× 35% calmer Fund
RSSB Return Stacked Global Stocks & Bonds ETF
0.378
0.446 0.63× 37% 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.