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ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

RAAX

Seeded with the selected fund at 100%

Benchmark

Pick one fund or composite — returns and exposures render in excess of it

Peer Universe

Reference set for percentile ranks and factor bars

Asset Allocation Funds · 1,365 total

ANALYTICS
AnalysisScreenerGroups

RAAX

Material Change

VanEck Real Assets ETF

Expense Ratio
0.69%
AUM
$1.3B
Inception
4/11/2018
1Y Return
+18.1%96th %ilevs 1,365 asset-class peers
·

The fund invests at least 80% of total assets in exchange traded products providing exposure to real assets, including commodities, real estate, natural resources, and infrastructure. It employs a proprietary quantitatively driven investment process that utilizes various indicators, such as equity and commodity price trends, to guide asset allocation and select ETPs, while allowing for active trading. The fund may invest up to 25% of its total assets in a wholly owned Subsidiary, which can invest without limit in commodities instruments.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
RAAX
VanEck Real Assets ETF
18.1%18.1%15.5%0.92-9.1%
ⓘ 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
RAAX
VanEck Real Assets ETF
15.3%-1.5%1.1%-3.2%2.5%-1.8%18.1%19.1%20.9%12.8%8.8%
ⓘ Methodology

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

Annual Returns

Name
20182019202020212022202320242025YTD
RAAX
VanEck Real Assets ETF
-2.6%*6.1%-8.3%21.3%1.7%6.7%12.5%26.7%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
RAAXUS
VanEck Real Assets ETF
19.8%0.49**-0.200.35**-0.29**0.20-0.18**-0.71**0.54226
ⓘ Methodology

ETF performance based on market prices. 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). From 10/7/2025 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 Core
Peer Group Benchmark
Prospectus Benchmark
S&P 500 Index
Peer Group
Allocation - Moderate (277 peers)
1Y Peer Percentile
96
3Y Peer Percentile
97
Expense Ratio
0.69%
5Y Tax Drag
2.02%/yr
AUM
$1.3B
3Y Flow
+1223.6%
Yield
2.05%
Inception
4/11/2018
Holdings (Reported)
1,150
Turnover
11%
Equity
75%
Derivatives
-3%
Strategy Summary

The fund invests at least 80% of total assets in exchange traded products providing exposure to real assets, including commodities, real estate, natural resources, and infrastructure. It employs a proprietary quantitatively driven investment process that utilizes various indicators, such as equity and commodity price trends, to guide asset allocation and select ETPs, while allowing for active trading. The fund may invest up to 25% of its total assets in a wholly owned Subsidiary, which can invest without limit in commodities instruments.

ⓘ 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 (12/8/2025). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 6/30/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

Based on equity exposure only (58% of total assets).

LargeMidSmall
18%
20%
18%
5%
12%
13%
1%
6%
6%
Large
ValueCoreGrowth
Size
Large
57%
Mid
30%
Small
13%
Style
Value
24%
Core
38%
Growth
38%
ⓘ 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 (75% 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 6/30/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Asset Allocation Funds

Based on equity exposure only (58% of total assets).

Intangible Value19.2
Traditional Value46.8
Small-Cap57.0
Quality47.3
Momentum77.2
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Asset Allocation Funds

Based on equity exposure only (58% of total assets).

Valuation
Book-to-Price (NTM)27.1
Sales-to-Price (NTM)38.8
Earnings-to-Price (NTM)4.8
Innovation/IP
R&D / Mkt Cap1.0
Patents / Mkt Cap0.35
Brand
Sales & Marketing / Mkt Cap2.2
Trademarks / Mkt Cap0.05
Human Capital
PhD Employees / Mkt Cap2.0
Top University Alumni / Mkt Cap4.1
Politics
Lobbying Spend / Mkt Cap16.4
AI
AI Employees / Mkt Cap0.31
ⓘ 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 6/30/2026. 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

Equity59.3%
Cash & Short-Term1.7%
Commodities39.0%
ⓘ 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 (41% of the book).

Country Exposure

Level

Based on holdings that carry a country (58% of total assets).

77.8%
77.8%
19.8%
9.6%
1.9%
1.8%
1.6%
1.3%
1.0%
Other2.6%
2.4%
1.2%
Other1.2%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level

Based on equity exposure only (58% of total assets).

Industrials35.9%
Energy29.5%
Materials17.9%
Utilities9.3%
Real Estate5.1%
Technology1.2%
Healthcare0.6%
Consumer Discretionary0.3%
Consumer Staples0.2%
Financials0.0%
Communication0.0%
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

Based on equity exposure only (58% of total assets).

AI Composition

Infrastructure29.2%
Early Adopter8.5%
Laggard62.3%

Magnificent 7

Magnificent 70.1%
Non-Magnificent 799.9%

Old vs New Economy

Old Economy97.9%
New Economy2.1%

Globalization

Multinational26.7%
Exporter7.9%
Importer9.0%
Domestic56.4%

China Exposure

China/HK Domiciled0.2%
Revenue & Operations0.5%
Operations Only5.8%
Revenue Only2.3%
No Material Exposure91.2%

Company Size

Mega (>$500B)1.9%
Large ($70–500B)39.5%
Mid ($10–70B)45.6%
Small ($1–10B)12.5%
Micro (<$1B)0.4%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 75% 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 6/30/2026. Stock-level data as of 8/31/2026.

Holdings

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127 positions (top 10 shown, create for full holdings) · 41.9% in funds

#NameTickerWeight %Country
1VanEck Commodity Strategy ETFPIT
20.80
USA
2VanEck Merk Gold ETFOUNZ
18.64
USA
3Global X US Infrastructure Development ETFPAVE
4.37
USA
4VanEck Energy Income ETFEINC
3.27
USA
5State Street Energy Select Sector SPDR ETFXLE
2.28
USA
6First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index FundGRID
1.58
USA
7State Street Global Advisors-
1.47
USA
8VanEck Natural Resources ETFHAP
1.45
USA
9iShares Global Industrials ETFEXI
1.43
USA
10State Street Materials Select Sector SPDR ETFXLB
1.26
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 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Asset Allocation Funds

Total Holdings1,150
Effective Holdings12
Top 10 Weight56.5%
Max Position20.8%
Top Sector (of Net Assets)63%
Top Country (of Net Assets)90%
ⓘ 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 6/30/2026.

Peer Group Rank

See All Peer Groups
Metric
RAAX
VanEck Real Assets ETF
Peer Group
277 funds
Peer Asset Class
1,365 funds
YTD Return
15.34%5.53%987.49%96
1Y Return
18.05%7.28%969.48%96
3Y Return (Ann.)
20.89%12.45%9714.23%94
5Y Return (Ann.)
12.83%5.28%996.38%99
Expense Ratiohigher = cheaper
0.69%0.90%700.80%59
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (878 share classes across 277 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 Similarity37
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1BCSAX
BlackRock Commodity Strategies Fund
Commodities - Broad
Commodities - Broad
37-----
2PDRDX
Diversified Real Asset Fund
Global Large Value
Global Large Value
33-----
3RLY
State Street(R) Multi-Asset Real Return ETF
Allocation - Aggressive
Allocation - Aggressive
31-----
4IGE
iShares North American Natural Resources ETF
Sector - Natural Resources
Sector - Natural Resources
25-----
5RAPAX
Cohen & Steers Real Assets Fund, Inc.
Allocation - Aggressive
Allocation - Aggressive
25-----
6PDPAX
Virtus Duff & Phelps Real Asset Fund
Allocation - Aggressive
Allocation - Aggressive
24-----
7TPDAX
Timothy Plan Defensive Strategies Fund
Allocation - Aggressive
Allocation - Aggressive
24-----
8PRAFX
T. Rowe Price Real Assets Fund, Inc.
Global Large Core
Global Large Core
24-----
9ZHDG
ZEGA Buy and Hedge ETF
Options - Income
Options - Income
24-----
10RBLD
First Trust Alerian U.S. NextGen Infrastructure ETF
Sector - Infrastructure
Sector - Infrastructure
21-----

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 6/30/2026. 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.