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ANALYTICS
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GBATX

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Asset Allocation Funds · 1,365 total

ANALYTICS
AnalysisScreenerGroups

GBATX

GMO Strategic Opportunities Allocation Fund

Expense Ratio
0.91%
AUM
$74M
Inception
5/31/2005
1Y Return
+21.9%99th %ilevs 1,365 asset-class peers
·

The fund invests in direct investments and shares of underlying GMO Funds, including equity, fixed income, implementation, and alternative funds. It is permitted to invest across any asset class, strategy, sector, country, or region, with potential substantial exposure to single asset classes or sectors, and may include below investment grade securities. The fund typically has significant derivative exposure and may have gross investment exposure exceeding net assets, while also maintaining the flexibility to invest in cash and cash equivalents.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
GBATX
GMO Strategic Opportunities Allocation Fund
21.9%21.9%9.6%1.88-7.1%
ⓘ Methodology

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
GBATX
GMO Strategic Opportunities Allocation Fund
15.3%-0.5%0.3%-2.0%3.1%10.4%21.9%17.7%18.6%10.1%7.9%
ⓘ Methodology

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

Annual Returns

Name
200520062007200820092010201120122013201420152016201720182019202020212022202320242025YTD
GBATX
GMO Strategic Opportunities Allocation Fund
9.9%*16.8%9.1%-21.3%21.1%7.8%2.4%13.3%21.6%2.0%-5.4%7.5%19.3%-9.4%19.6%4.8%12.4%-11.3%17.4%5.5%24.7%15.3%
ⓘ 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

Benchmark

Select a second series, or to correlate with the seven research factors.

Factor Regression

Name
Ann. αβ MKTβ SMBβ HMLβ RMWβ CMAβ UMDβ iHMLR²Obs
GBATXGlobal Dev
GMO Strategic Opportunities Allocation Fund
4.0%0.88**-0.070.18**0.11*0.22**0.03-0.020.88226
ⓘ Methodology

ETF performance based on market prices. Global Dev 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.

SnapshotAs ofvsⓘ

Fund Profile

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
Mutual Fund
Asset Class
Peer Asset Class
Asset Allocation
Region
Equity Size & Style
Peer Group Benchmark
Prospectus Benchmark
Bloomberg U.S. Aggregate Index
Peer Group
Allocation - Aggressive (327 peers)
1Y Peer Percentile
98
3Y Peer Percentile
82
Expense Ratio
0.91%
5Y Tax Drag
3.46%/yr
AUM
$74M
3Y Flow
-82.6%
Yield
3.32%
Inception
5/31/2005
Holdings (Reported)
2,889
Turnover
31%
Equity
82%
Derivatives
0%
Option Notional
3%
Strategy Summary

The fund invests in direct investments and shares of underlying GMO Funds, including equity, fixed income, implementation, and alternative funds. It is permitted to invest across any asset class, strategy, sector, country, or region, with potential substantial exposure to single asset classes or sectors, and may include below investment grade securities. The fund typically has significant derivative exposure and may have gross investment exposure exceeding net assets, while also maintaining the flexibility to invest in cash and cash equivalents.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table; tax drag from its after-tax return table. Turnover from the SEC annual report (5/7/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 5/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

LargeMidSmall
30%
18%
12%
12%
5%
2%
11%
9%
2%
Large
ValueCoreGrowth
Size
Large
60%
Mid
18%
Small
22%
Style
Value
52%
Core
32%
Growth
16%
ⓘ Methodology

Equity size and style definitions. Size: each holding is scored against its own market's size curve — Large above $61.7B in the US and $21.4B elsewhere, Small below $10.8B worldwide — and a fund sits at the weighted average of its holdings. Style: each holding's Traditional Value score is ranked against stocks of the same region and size, and a fund sits at the weighted average of those ranks. Both are relative measures — where a holding stands among comparable stocks, not an absolute threshold. The dollar lines are recomputed from total market capitalisation each time the data is refreshed; the shares of the market they mark are what stay fixed. Cell shading and percentages: share of classified holdings weight per box. The grid and the dot are built from one set of per-holding scores — the dot is their weighted average — so they describe the same book at two levels of detail. The Size and Style bars are the grid's row and column totals. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Asset Allocation Funds

Intangible Value41.7
Traditional Value82.8
Small-Cap69.0
Quality36.5
Momentum66.3
ⓘ 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; the shaded band spans the Asset Allocation Funds class 25th–75th percentile of scores, notched at the median. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Asset Allocation Funds

Valuation
Book-to-Price (NTM)45.6
Sales-to-Price (NTM)65.1
Earnings-to-Price (NTM)6.2
Innovation/IP
R&D / Mkt Cap2.7
Patents / Mkt Cap2.8
Brand
Sales & Marketing / Mkt Cap3.1
Trademarks / Mkt Cap0.15
Human Capital
PhD Employees / Mkt Cap4.7
Top University Alumni / Mkt Cap8.6
Politics
Lobbying Spend / Mkt Cap14.0
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); the shaded band spans the fund's broad class (Asset Allocation Funds) 25th–75th percentile, notched at the median. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Asset Class Exposure

Equity67.4%
Fixed Income3.5%
Cash & Short-Term9.2%
Alternatives18.1%
Other1.7%
Short positions of 0.4% of net assets are not shown.ⓘ 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 (99% of the book). The short book is stated under the card and never netted into a slice: a pie cannot draw a negative, and folding a hedge into the class it offsets would make it look like more of that class. 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 (1.6% here). Alternatives holds funds counted by what they are rather than by what they hold - alternative strategies, and funds that are short. A pie cannot draw a negative, and adding a hedge to the class it offsets would make it look like more of that class.

Country Exposure

Level

Based on holdings that carry a country (80% of total assets).

44.4%
44.2%
Other0.2%
43.3%
15.7%
4.5%
2.8%
2.7%
2.7%
2.3%
2.1%
1.9%
1.9%
1.8%
1.0%
Other3.8%
12.4%
3.9%
3.2%
1.1%
1.0%
Other3.2%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level
Technology21.8%
Financials17.8%
Industrials17.2%
Consumer Discretionary9.3%
Healthcare8.0%
Materials6.9%
Communication6.1%
Energy6.0%
Consumer Staples4.5%
Utilities1.8%
Real Estate0.6%
ⓘ Methodology

Shares are percentages of the fund's classified holdings — every position we can identify, with cash and unidentified positions excluded — not portfolio weights. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure22.3%
Early Adopter27.1%
Laggard50.6%

Magnificent 7

Magnificent 75.5%
Non-Magnificent 794.5%

Old vs New Economy

Old Economy65.7%
New Economy34.3%

Globalization

Multinational46.5%
Exporter9.6%
Importer14.5%
Domestic29.4%

China Exposure

China/HK Domiciled3.2%
Revenue & Operations5.1%
Operations Only12.9%
Revenue Only9.3%
No Material Exposure69.5%

Company Size

Mega (>$500B)12.1%
Large ($70–500B)29.9%
Mid ($10–70B)37.4%
Small ($1–10B)20.1%
Micro (<$1B)0.5%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 82% 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. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Holdings

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19 positions (top 10 shown, create for full holdings) · 98.7% in funds

#NameTickerWeight %Country
1GMO Alternative Allocation FundGAAVX
18.07
USA
2GMO International Equity FundGMOIX
17.76
USA
3GMO Asset Allocation Bond FundGABFX
8.98
USA
4GMO International Opportunistic Value FundGTMIX
8.00
USA
5GMO US Opportunistic Value FundUUOAX
7.97
USA
6GMO US Equity FundGMUEX
7.29
USA
7GMO-Usonian Japan Value Creation FundGMAHX
7.28
USA
8GMO Emerging Markets FundGMOEX
7.21
USA
9GMO Quality FundGQETX
3.58
USA
10GMO US Treasury FundGUSTX
2.85
USA
ⓘ Methodology

Sector, country and factor detail need a security match; the share of weight that matched is a member figure, so the rows without one appear here with those columns blank. "In funds" adds up the rows tagged Fund — holdings that are themselves funds this app covers, which is what look-through can expand; a held vehicle that files no holdings of its own (a commodity or currency trust, a money-market fund) is not counted and stays a single line. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Asset Allocation Funds

Total Holdings2,889
Effective Holdings9.5
Top 10 Weight89.0%
Max Position18.1%
Top Sector (of Net Assets)100%
Top Country (of Net Assets)100%
ⓘ 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. The shaded band spans the fund's broad class (Asset Allocation Funds) 25th–75th percentile, notched at the median. Holdings as of 5/31/2026.

Benchmark DifferentiationRef: Asset Allocation Funds

vs ACWIBroad Benchmark
Active Share100.0%
Tracking Error9.5%
Benchmark Correlation0.91
ⓘ Methodology

One sub-card per benchmark: the market primary, then the style secondary — the gap between them is the style sleeve itself. Both anchors are Sparkline-inferred (market from asset class and region, style from the holdings size-and-style map), not the fund's official prospectus benchmark. Solid blue dot marks the fund; the shaded band spans the reference set's 25th–75th percentile, notched at the median (band follows the Peer Universe selector). Active Share compares the fund's book with the benchmark's, share for share; Tracking Error is the annualized daily deviation over the trailing two years (ruler runs to just past the universe's 95th percentile, or past the fund's own figure where that is larger); Benchmark Correlation is the plain daily correlation over the trailing year. Hover the labels for full definitions.

Peer Group Rank

See All Peer Groups
Metric
GBATX
GMO Strategic Opportunities Allocation Fund
Peer Group
327 funds
Peer Asset Class
1,365 funds
YTD Return
15.33%8.65%927.49%96
1Y Return
21.94%11.06%989.48%99
3Y Return (Ann.)
18.59%15.42%8214.23%80
5Y Return (Ann.)
10.05%7.12%916.38%91
Expense Ratiohigher = cheaper
0.91%0.94%530.80%39
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (945 share classes across 327 funds). One share class shown per fund — the exchange-listed class where the SEC series has one, else its longest-history class; percentile ranks and medians are computed against the same deduped set. Quartile chips fill the layer the fund's rank falls in (top layer = best quartile). Funds without a full return history rank only on the horizons they cover.

Similar Funds

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Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.

Top Similarity76
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1GMWAX
GMO Global Asset Allocation Fund
Allocation - Aggressive
Allocation - Aggressive
76-----
2GMGEX
GMO Global Equity Allocation Fund
Global Large Value
Global Large Value
67-----
3GBFFX
GMO Benchmark-Free Fund
Allocation - Moderate
Allocation - Moderate
50-----
4GIMFX
GMO Implementation Fund
Allocation - Moderate
Allocation - Moderate
50-----
5GBMFX
GMO Benchmark-Free Allocation Fund
Allocation - Moderate
Allocation - Moderate
50-----
6GWOAX
GMO Global Developed Equity Allocation Fund
Global Large Value
Global Large Value
48-----
7GAAVX
GMO Alternative Allocation Fund
Alts - Alternative Risk Premia
Alts - Alternative Risk Premia
41-----
8GIOTX
GMO International Developed Equity Allocation Fund
Developed Ex-US Large Value
Developed Ex-US Large Value
31-----
9GIEAX
GMO International Equity Allocation Fund
Developed Ex-US Large Value
Developed Ex-US Large Value
31-----
10DGEIX
GLOBAL EQUITY PORTFOLIO
US Large Core
US Large Core
24-----

The method columns are members-only — create a free account to see these figures.

ⓘ Methodology

Rows are the consensus top matches (a fund must place in at least two methods' top 250 to qualify, and matches missing more than one of this fund's own methods are not ranked — a row scored on fewer methods is a noisier estimate, not a better match). Click a method column to see that method's own top matches across the whole universe instead. Gray (N) beside each method's metric is that fund's rank in the whole universe on that method. Similarity is a percentile among match-grade fund pairs, 0–100 — 87 means the pair is closer than 87% of the strongest matches in the universe, averaged across the methods — so it compares across funds: index clones tie at the top with thousands of other clone pairs, so scores top out in the high 80s to 90s, while a one-of-a-kind fund's best match can score in the 30s. Rows are ordered by the Consensus Rank — the geometric mean of those universe ranks, shown in each cell's tooltip — and the score is held down the list to the level of the closest match above it, so equal scores mean equally close and the number reads as a floor. A dash means that method has no figure for the pair at all (one of them lacks the holdings or return history it needs). Hover a column header for each method's definition. The “Top…” strips above compare against every fund's own top match across the whole universe (they deliberately don't follow the Peer Universe selector); Top Similarity is simply the best match's score, with no reference band; the Holdings and Active Tilt strips carry no reference band because computing every fund's best book overlap would require a full holdings scan per fund — the dot stands alone on its natural 0–100% scale. One share class shown per fund, and a fund's own sister share classes are excluded from its Top-match strips. Holdings as of 5/31/2026. Consensus Rank is the geometric mean of the match's universe-wide rank across the methods (#1.0 = top match on every one). Holdings Overlap = common-holdings weight (sum of the minimum weight across shared positions, long only). Active Tilt Overlap = the same statistic on active weights (holdings minus the fund's own default benchmark, floored at 0), which strips the benchmark ballast that dominates raw overlap. Factor Similarity = 100 − a signature-weighted RMS gap across the composite factor scores (0–100 ranks within the clean equity fund universe), each axis weighted by how far this fund sits from the universe median of 50. Return Correlation = correlation of market-hedged daily returns over the trailing two years (CAPM residuals), so only market-beta co-movement is removed; requires ~18 months of daily history (378 of the window's 504 trading days). Fama-French Similarity = 1/(1+d), where d is the Euclidean distance between factor betas (market, size, value, profitability, investment, momentum, intangible value) from up to three years of daily returns (min 378 daily observations and regression R² of at least 0.25); 1.00 = identical loadings.