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ANALYTICS
AnalysisScreenerGroups

Selection

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GMOD

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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

GMOD

Material Change

GMO Dynamic Allocation ETF

Expense Ratio
0.50%
AUM
$48M
Inception
10/15/2025
·

The fund maintains a balanced portfolio of equity investments, fixed-income investments, and liquid alternative strategies, investing primarily in shares of other investment companies and directly in securities. Under normal circumstances, it allocates between 40% and 80% of net assets to equity investments, with flexibility to invest across various asset classes, sectors, and market capitalizations, including below investment grade securities. The investment approach is guided by quantitative forecasts and assessments of market valuations, allowing for significant exposure to specific asset classes or regions.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
GMOD
GMO Dynamic Allocation ETF
11.1%11.4%8.4%0.91-6.5%
ⓘ 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 10/15/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
GMOD
GMO Dynamic Allocation ETF
7.6%-0.4%0.4%-2.6%0.1%5.6%11.8%
ⓘ Methodology

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

Annual Returns

Name
2025YTD
GMOD
GMO Dynamic Allocation ETF
3.9%*7.6%
ⓘ 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

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
GMODGlobal Dev
GMO Dynamic Allocation ETF
0.3%0.77**-0.14**0.040.010.21**-0.09**-0.10**0.87220
ⓘ 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 10/15/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund ProfileMaterial Change

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Asset Allocation
Region
Equity Sleeve Style
Large Value
Prospectus Benchmark
Bloomberg U.S. Aggregate Index
Peer Group
Allocation - Tactical/Dynamic (94 peers)
Expense Ratio
0.50%
AUM
$48M
Inception
10/15/2025
Holdings (Reported)
17,704
Turnover
8%
Equity
58%
Derivatives
0%
Strategy Summary

The fund maintains a balanced portfolio of equity investments, fixed-income investments, and liquid alternative strategies, investing primarily in shares of other investment companies and directly in securities. Under normal circumstances, it allocates between 40% and 80% of net assets to equity investments, with flexibility to invest across various asset classes, sectors, and market capitalizations, including below investment grade securities. The investment approach is guided by quantitative forecasts and assessments of market valuations, allowing for significant exposure to specific asset classes or regions.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee 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

Based on equity exposure only (57% of total assets).

LargeMidSmall
28%
24%
22%
8%
5%
2%
6%
4%
2%
Large
ValueCoreGrowth
Size
Large
74%
Mid
14%
Small
12%
Style
Value
41%
Core
33%
Growth
26%
ⓘ 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). This fund is not an equity fund, so the box describes its equity sleeve only (58% of assets): the sleeve's holdings are scored and ranked against equity funds of the same region and size cohort. The rest of the portfolio (bonds, cash, other assets) is not represented here. 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. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Asset Allocation Funds

Based on equity exposure only (57% of total assets).

Intangible Value50.8
Traditional Value70.8
Small-Cap50.3
Quality53.1
Momentum47.6
ⓘ 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

Based on equity exposure only (57% of total assets).

Valuation
Book-to-Price (NTM)44.0
Sales-to-Price (NTM)62.1
Earnings-to-Price (NTM)6.8
Innovation/IP
R&D / Mkt Cap2.9
Patents / Mkt Cap1.9
Brand
Sales & Marketing / Mkt Cap2.8
Trademarks / Mkt Cap0.10
Human Capital
PhD Employees / Mkt Cap5.1
Top University Alumni / Mkt Cap9.6
Politics
Lobbying Spend / Mkt Cap14.4
AI
AI Employees / Mkt Cap1.4
ⓘ 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

Equity58.1%
Fixed Income40.1%
Cash & Short-Term1.6%
Other0.2%
ⓘ 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 (99% of the book). 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
64.6%
64.5%
Other0.1%
26.0%
8.5%
2.5%
2.4%
2.3%
1.7%
1.6%
1.3%
1.2%
Other4.4%
9.4%
3.0%
1.9%
1.3%
1.1%
Other2.1%
ⓘ 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

Based on equity exposure only (57% of total assets).

Technology20.6%
Financials18.9%
Industrials13.7%
Healthcare11.9%
Consumer Discretionary9.5%
Communication7.7%
Consumer Staples5.9%
Materials5.0%
Energy4.8%
Real Estate1.2%
Utilities0.7%
ⓘ 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

Based on equity exposure only (57% of total assets).

AI Composition

Infrastructure23.6%
Early Adopter30.5%
Laggard45.8%

Magnificent 7

Magnificent 76.6%
Non-Magnificent 793.4%

Old vs New Economy

Old Economy62.0%
New Economy38.0%

Globalization

Multinational51.0%
Exporter8.5%
Importer14.3%
Domestic26.1%

China Exposure

China/HK Domiciled2.8%
Revenue & Operations6.3%
Operations Only14.0%
Revenue Only6.7%
No Material Exposure70.3%

Company Size

Mega (>$500B)16.5%
Large ($70–500B)41.6%
Mid ($10–70B)30.9%
Small ($1–10B)10.9%
Micro (<$1B)0.2%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 58% 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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21 positions (top 10 shown, create for full holdings) · 99.3% in funds

#NameTickerWeight %Country
1GMO US Quality ETFQLTY
10.71
USA
2GMO International Value ETFGMOI
10.22
USA
3GMO US Value ETFGMOV
10.14
USA
4iShares 3-7 Year Treasury Bond ETFIEI
8.68
USA
5Schwab Intermediate-Term U.S. Treasury ETFSCHR
7.67
USA
6Vanguard Intermediate-Term Treasury ETFVIIGX
7.47
USA
7State Street SPDR Portfolio Intermediate Term Treasury ETFSPTI
6.78
USA
8GMO International Quality ETFQLTI
5.00
USA
9Invesco National AMT-Free Municipal Bond ETFPZA
4.76
USA
10Vanguard Short-Term Treasury ETFVSBIX
4.66
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 Holdings17,704
Effective Holdings14.5
Top 10 Weight76.1%
Max Position10.7%
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.

Peer Group Rank

See All Peer Groups
Metric
GMOD
GMO Dynamic Allocation ETF
Peer Group
94 funds
Peer Asset Class
1,365 funds
YTD Return
7.63%8.84%417.49%52
1Y Return
---
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.50%1.55%970.80%72
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (189 share classes across 94 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 Similarity50
Top Overlap
Top Active Tilt
Top Factor Match
FundPeer Group
1AOR
iShares Core 60/40 Balanced Allocation ETF
Allocation - Moderate
Allocation - Moderate
50---
2SFBPX
Empower SecureFoundation Balanced ETF Fund
Allocation - Aggressive
Allocation - Aggressive
50---
3AOA
iShares Core 80/20 Aggressive Allocation ETF
Allocation - Aggressive
Allocation - Aggressive
49---
4SWC1Z
Schwab VIT Balanced with Growth Portfolio
Allocation - Aggressive
Allocation - Aggressive
49---
5VSMGX
VANGUARD LIFESTRATEGY 60/40 FUND
Allocation - Moderate
Allocation - Moderate
49---
6GWOAX
GMO Global Developed Equity Allocation Fund
Global Large Value
Global Large Value
49---
7SWBGX
Schwab MarketTrack Balanced Portfolio
Allocation - Aggressive
Allocation - Aggressive
49---
8VTHRX
VANGUARD TARGET RETIREMENT 2030 FUND
Target Date 2030 & 2035
Target Date 2030 & 2035
49---
9FRGAX
70% Allocation Fund
Allocation - Aggressive
Allocation - Aggressive
49---
10VTTHX
VANGUARD TARGET RETIREMENT 2035 FUND
Target Date 2030 & 2035
Target Date 2030 & 2035
49---

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.