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ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

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Peer Universe

Reference set for percentile ranks and factor bars

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ANALYTICS
AnalysisScreenerGroups

Region - Europe

Composite

Peer Group

Expense Ratio
0.50%
#NameTickerAUM
1Vanguard European Stock Index FundVGK$37.6B
2Six Circles International Unconstrained Equity FundCIUEX$21.6B
3Oakmark International FundOAKIX$11.8B
4iShares MSCI Eurozone ETFEZU$9.4B
5iShares Core MSCI Europe ETFIEUR$9.2B
6JPMorgan BetaBuilders Europe ETFBBEU$8.9B
7iShares International Select Dividend ETFIDV$8.2B
8State Street(R) SPDR(R) EURO STOXX 50(R) ETFFEZ$4.3B
9iShares MSCI United Kingdom ETFEWU$3.7B
10iShares MSCI Switzerland ETFEWL$2.7B
Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
Peer Group
12.5%12.5%14.4%0.60-10.4%
ⓘ Methodology

Peer composites equal-weight the group's share-class representatives' daily returns, including delisted members' alive-era history via the frozen year-end snapshots — though our coverage of closed funds is partial, so composite levels at older dates may run slightly high. Membership is the latest known — style migrators carry their full history. ETF performance based on market prices. Drag on chart to select period. Sharpe Ratio uses the one-month T-bill as the risk-free rate. From 10/7/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
Peer Group
8.6%-1.1%-1.3%-5.4%-2.1%6.6%12.5%16.8%18.9%8.8%8.1%
ⓘ Methodology

ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.

Annual Returns

Name
1986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025YTD
Peer Group
3.7%*-12.7%17.6%96.8%-28.4%8.3%-4.5%38.6%-4.9%12.7%25.8%18.4%14.7%28.0%-12.4%-21.0%-14.3%48.3%25.2%12.8%34.8%11.3%-47.7%40.8%8.2%-15.7%23.9%27.8%-8.1%0.4%1.1%27.1%-15.4%24.5%6.9%15.7%-17.4%19.6%2.4%33.8%8.6%
ⓘ Methodology

* partial year — the series ran for only part of it (its first year, or the year it closed); the figure is the return over the part it did run. ETF performance based on market prices. As of 10/7/2026.

Correlation Matrix

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Factor Regression

Name
Ann. αβ MKTβ SMBβ HMLβ RMWβ CMAβ UMDβ iHMLR²Obs
Dev Ex-US
Peer Group
1.3%0.81**-0.88**0.12-0.26-0.54**-0.100.030.72226
ⓘ Methodology

ETF performance based on market prices. Dev Ex-US factor set. Daily OLS of excess return (fund − T-bill) on factor spread returns over the selected date range, intersected with each series' history. Bold with * |t| ≥ 1.96, ** |t| ≥ 2.58. Cell shading tracks each loading's t-stat. Betas are returns-based — compare with the holdings-based factor scores below. Factor returns are long-short spread returns (© Ken French, Dartmouth). Fama-French publishes daily factors for developed markets only, so Dev Ex-US is developed markets excluding the US and Global Dev is developed markets including it; emerging markets, a small share of world market capitalization, are not covered by the source data. From 10/7/2025 to 8/31/2026.

Factor History

Region - Europe Composite

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SnapshotAs ofvsⓘ

Fund Profile

Type
82% ETF, 18% Mutual Fund
Asset Class
Equity
Region
95% , 4% , 1%
Equity Size & Style
Peer Group Benchmark
Peer Group
Region - Europe (82 peers)
1Y Peer Percentile
48
3Y Peer Percentile
48
Expense Ratio
0.50%
5Y Tax Drag
0.69%/yr
Median Member AUM
$210M
3Y Flow
-4.1%
Yield
2.75%
Inception
7/18/1986
Holdings (Reported)
2,416
Turnover
18%
Equity
98%
Derivatives
0%
ⓘ Methodology

Every figure on this card is an equal-weight aggregate over the composite's share-class-deduped members: the median across the members reporting each field, blank where too few of them do. Three rows depart from that, because a median of them would say nothing: Inception is the group's OLDEST member — where its combined history can start; 3Y Flow is the group's own net flow over its own assets, not the middle member's rate; and Type, Asset Class and Region are compositions by member count. Holdings is the merged look-through book — distinct positions across the members' holdings.

Equity Size & Style Map

LargeMidSmall
25%
29%
27%
4%
4%
2%
5%
3%
1%
Large
ValueCoreGrowth
Size
Large
81%
Mid
10%
Small
9%
Style
Value
33%
Core
36%
Growth
31%
ⓘ Methodology

Equity size and style definitions: Large vs. Small based on market cap, where Large > $70B, Mid $10-70B, and Small < $10B. Value vs. Growth based on percentile ranking on Traditional Value score within the fund's region and size cohort (equal thirds among its true equity-fund peers). Cell shading and percentages: share of classified holdings weight per box, from stock-level classification (size on the same $70B/$10B lines; value by Traditional Value terciles across scored stocks). The dot is the average holding ranked against other funds, so dot and weights can differ at the margin. The Size and Style bars are the grid's row and column totals. Stock-level data as of 8/31/2026.

Composite Factors

Intangible Value38.6
Traditional Value75.1
Small-Cap51.7
Quality45.0
Momentum42.3
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Ranked within the clean equity fund universe, one entry per fund series (lowest: 0, highest: 100; the middle of the range is denser than the ends). Blue dots mark the fund's universe-normalized score; percentile overlays are off (Peer Universe: None). Stock-level data as of 8/31/2026.

Factor Details

Valuation
Book-to-Price (NTM)43.7
Sales-to-Price (NTM)60.4
Earnings-to-Price (NTM)5.9
Innovation/IP
R&D / Mkt Cap2.9
Patents / Mkt Cap0.53
Brand
Sales & Marketing / Mkt Cap4.8
Trademarks / Mkt Cap0.06
Human Capital
PhD Employees / Mkt Cap6.1
Top University Alumni / Mkt Cap5.1
Politics
Lobbying Spend / Mkt Cap3.6
AI
AI Employees / Mkt Cap1.3
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Solid blue dots mark the fund's position within the clean equity fund universe (5th–95th percentile scale); percentile overlays are off (Peer Universe: None). Stock-level data as of 8/31/2026.

Asset Class Exposure

Equity96.4%
Cash & Short-Term2.5%
Other1.2%
ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. Holdings that are themselves funds are looked through one level to their own mix (2% of the book). Cash & Short-Term includes 0.3% of net assets the filing does not itemise. Other is everything we could not name as an asset class: holdings the filing itself labels as other, derivative positions at the market value the filing reports rather than at notional, and funds held inside this fund whose own holdings we could not read.

Country Exposure

Level
Developed Ex-US94.1%
United Kingdom20.1%
Germany15.2%
France10.3%
Switzerland8.6%
Netherlands8.4%
Italy4.6%
Spain4.4%
Denmark4.0%
Sweden3.8%
Norway3.4%
Finland2.6%
Belgium2.2%
Austria1.9%
Ireland1.8%
Other2.8%
Emerging Markets5.0%
Poland2.0%
Greece1.3%
Other1.6%
Other (1 region)0.9%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Stock-level data as of 8/31/2026.

Sector Exposure

Level
Financials22.3%
Industrials18.5%
Technology12.4%
Healthcare11.5%
Energy7.4%
Consumer Discretionary7.0%
Consumer Staples6.6%
Materials5.4%
Utilities3.9%
Communication3.4%
Real Estate1.6%
ⓘ Methodology

Shares are percentages of the fund's classified holdings — every position we can identify, with cash and unidentified positions excluded — not portfolio weights. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure18.5%
Early Adopter25.9%
Laggard55.7%

Magnificent 7

Magnificent 70.0%
Non-Magnificent 7100.0%

Old vs New Economy

Old Economy74.5%
New Economy25.6%

Globalization

Multinational54.1%
Exporter6.5%
Importer14.7%
Domestic24.7%

China Exposure

China/HK Domiciled0.6%
Revenue & Operations6.4%
Operations Only14.9%
Revenue Only8.9%
No Material Exposure69.3%

Company Size

Mega (>$500B)4.1%
Large ($70–500B)42.4%
Mid ($10–70B)38.4%
Small ($1–10B)14.9%
Micro (<$1B)0.1%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 98% of net assets) — they are not portfolio weights. China exposure: domiciled = incorporated in China or Hong Kong, falling back to the filing's country for holdings outside the stock model. Among the rest, revenue = ≥15% of revenue derived from China; operations = ≥3% of LinkedIn-tracked workforce in China, or ≥2 identified Chinese suppliers making up ≥12% of those identified. China revenue is estimated where segment reporting is absent. Company size bands by holding market cap: Mega >$500B, Large $70–500B, Mid $10–70B, Small $1–10B, Micro <$1B. Old vs New Economy partitions Sparkline's 48 industries: New = technology, internet platforms and entertainment, e-commerce, payments, pharma/biotech/medtech, and renewable energy; Old = everything else. Shares are of classified holdings and sum to 100%. China shares are of total equity weight. Size shares are of scored holdings weight. Stock-level data as of 8/31/2026.

Holdings

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10 of 82 funds (top 10 shown, create for all 82)

#NameTickerWeight %AUM
1Vanguard European Stock Index FundVGK
1.22
$37.6B
2Six Circles International Unconstrained Equity FundCIUEX
1.22
$21.6B
3Oakmark International FundOAKIX
1.22
$11.8B
4iShares MSCI Eurozone ETFEZU
1.22
$9.4B
5iShares Core MSCI Europe ETFIEUR
1.22
$9.2B
6JPMorgan BetaBuilders Europe ETFBBEU
1.22
$8.9B
7iShares International Select Dividend ETFIDV
1.22
$8.2B
8State Street(R) SPDR(R) EURO STOXX 50(R) ETFFEZ
1.22
$4.3B
9iShares MSCI United Kingdom ETFEWU
1.22
$3.7B
10iShares MSCI Switzerland ETFEWL
1.22
$2.7B
ⓘ Methodology

The funds this composite is made of, each counting once (100 ÷ 10 — the same equal weighting behind its returns and its median exposures), listed largest first by assets. Tick Look-Through to expand them into the stocks they hold. Holdings Concentration beside this card always describes that looked-through book, not this list — it is a statement about exposure, not about the roster. Stock-level data as of 8/31/2026.

Concentration

Total Holdings2,416
Effective Holdings171.2
Top 10 Weight18.2%
Max Position3.7%
Top Sector (of Net Assets)22%
Top Country (of Net Assets)20%
ⓘ Methodology

Hover or click for definitions. Solid blue dots mark the fund: percentage rows on a 0–100% scale, holdings counts log-scaled across the clean-universe 5th–95th percentile range; percentile overlays are off (Peer Universe: None). Every row on this card describes the composite's merged look-through book — the stocks its members hold — not the list of member funds, whatever the Holdings card is showing.

Peer Group Rank

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Metric
Region - Europe Composite
82 funds
Peer Asset Class
5,640 funds
YTD Return
4.44%11.63%19
1Y Return
9.22%14.46%29
3Y Return (Ann.)
17.48%18.47%43
5Y Return (Ann.)
8.61%8.64%50
Expense Ratiohigher = cheaper
0.50%0.74%68
ⓘ Methodology

Region - Europe Composite is a Sparkline peer composite — its members are the share-class representatives of the funds in the group (one class per fund: the exchange-listed class where the SEC series has one, else its longest-history class). This card ranks it against its asset class, Equity, which is the only pool a composite has: there is no peer group of peer groups, and the region tier is a fund-level grouping. Typical Member rows are medians across those representatives — the value is the group’s median, and the percentile is the median of the members’ own ranks within Equity, so both describe the middle fund rather than the group as a whole. Quartile chips fill the layer the rank falls in (top layer = best quartile). A dash is a window the group is younger than, or one too few Equity funds have a history for to rank against — hover it for which.