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ANALYTICS
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AAAAX

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Benchmark

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Peer Universe

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Asset Allocation Funds · 1,365 total

ANALYTICS
AnalysisScreenerGroups

AAAAX

Material Change

DWS RREEF Real Assets Fund

Expense Ratio
1.15%
AUM
$4.6B
Inception
7/31/2007
1Y Return
+7.3%37th %ilevs 1,365 asset-class peers
·

The fund invests at least 80% of net assets in real assets, including listed real estate, commodities, natural resource-related equities, listed infrastructure, gold and precious metals, master limited partnerships, Treasury Inflation-Protected Securities, and other fixed income securities. It generally allocates between 15% and 75% of assets to foreign issuers, with up to 10% in emerging markets, and may invest in affiliated and unaffiliated ETFs. The investment process employs top-down sector allocations, continuously monitored and adjusted based on macroeconomic views, complemented by bottom-up security analysis considering various financial and ESG factors.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
AAAAX
DWS RREEF Real Assets Fund
7.3%7.3%9.2%0.39-7.8%
ⓘ 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
AAAAX
DWS RREEF Real Assets Fund
5.5%-0.9%0.4%-4.9%-3.4%-5.1%7.3%6.3%11.4%4.0%4.1%
ⓘ Methodology

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

Annual Returns

Name
2007200820092010201120122013201420152016201720182019202020212022202320242025YTD
AAAAX
DWS RREEF Real Assets Fund
4.6%*-26.7%25.6%12.2%-3.5%9.3%0.7%3.0%-9.7%4.0%14.7%-5.4%21.4%3.7%23.5%-9.9%2.3%5.2%12.8%5.5%
ⓘ 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
AAAAXGlobal Dev
DWS RREEF Real Assets Fund
-0.5%0.66**-0.060.56**0.100.09-0.19**-0.40**0.64226
ⓘ 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 ProfileMaterial Change

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 Sleeve Style
Mid Value
Peer Group Benchmark
Prospectus Benchmark
DWS Index MSCI World Index
Peer Group
Allocation - Aggressive (327 peers)
1Y Peer Percentile
22
3Y Peer Percentile
15
Expense Ratio
1.15%
AUM
$4.6B
3Y Flow
-22.9%
Yield
6.29%
Inception
7/31/2007
Holdings (Reported)
182
Turnover
94%
Equity
79%
Derivatives
-1%
Net Equity Exposure
80%
Strategy Summary

The fund invests at least 80% of net assets in real assets, including listed real estate, commodities, natural resource-related equities, listed infrastructure, gold and precious metals, master limited partnerships, Treasury Inflation-Protected Securities, and other fixed income securities. It generally allocates between 15% and 75% of assets to foreign issuers, with up to 10% in emerging markets, and may invest in affiliated and unaffiliated ETFs. The investment process employs top-down sector allocations, continuously monitored and adjusted based on macroeconomic views, complemented by bottom-up security analysis considering various financial and ESG factors.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (6/2/2026). 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 (78% of total assets).

LargeMidSmall
13%
21%
11%
12%
16%
11%
3%
7%
5%
Large
ValueCoreGrowth
Size
Large
46%
Mid
40%
Small
15%
Style
Value
28%
Core
44%
Growth
28%
ⓘ 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 (79% 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 (78% of total assets).

Intangible Value9.8
Traditional Value60.4
Small-Cap60.2
Quality21.0
Momentum33.0
ⓘ 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 (78% of total assets).

Valuation
Book-to-Price (NTM)47.8
Sales-to-Price (NTM)45.3
Earnings-to-Price (NTM)4.8
Innovation/IP
R&D / Mkt Cap0.89
Patents / Mkt Cap0.03
Brand
Sales & Marketing / Mkt Cap2.6
Trademarks / Mkt Cap0.02
Human Capital
PhD Employees / Mkt Cap1.2
Top University Alumni / Mkt Cap2.8
Politics
Lobbying Spend / Mkt Cap14.9
AI
AI Employees / Mkt Cap0.23
ⓘ 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

Equity77.7%
Fixed Income5.8%
Cash & Short-Term16.2%
Other0.3%
Short positions of 1.4% of net assets are not shown.ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. 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.

Country Exposure

Level
61.0%
61.0%
37.5%
11.2%
5.9%
2.7%
2.7%
2.5%
2.4%
2.0%
2.0%
1.5%
1.3%
1.2%
Other2.3%
Emerging Markets1.5%
ⓘ 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 (78% of total assets).

40.0%
20.7%
17.1%
12.9%
8.0%
1.4%
ⓘ 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 (78% of total assets).

AI Composition

Infrastructure27.6%
Early Adopter2.5%
Laggard69.9%

Magnificent 7

Magnificent 70.0%
Non-Magnificent 7100.0%

Old vs New Economy

Old Economy100.0%
New Economy0.0%

Globalization

Multinational17.6%
Exporter1.3%
Importer13.7%
Domestic67.4%

China Exposure

China/HK Domiciled2.2%
Revenue & Operations0.8%
Operations Only1.5%
Revenue Only3.1%
No Material Exposure92.4%

Company Size

Mega (>$500B)0.0%
Large ($70–500B)28.4%
Mid ($10–70B)58.6%
Small ($1–10B)13.0%
Micro (<$1B)0.0%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 79% 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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182 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1DWS-
4.32
--USA
2Williams Cos Inc/TheWMB
2.74
EnergyMidstream Oil & GasUSA
3PrologisPLD
2.58
Real EstateGrowth REITsUSA
4United States Treasury-
2.18
--USA
5United States Treasury-
2.17
--USA
6United States Treasury-
2.14
--USA
7WelltowerWELL
2.13
Real EstateTraditional REITsUSA
8EquinixEQIX
2.04
Real EstateGrowth REITsUSA
9American TowerAMT
1.96
Real EstateGrowth REITsUSA
10TC EnergyTRP
1.95
EnergyMidstream Oil & GasCAN
ⓘ 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. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Asset Allocation Funds

Total Holdings182
Effective Holdings82.4
Top 10 Weight24.2%
Max Position4.3%
Top Sector (of Net Assets)31%
Top Country (of Net Assets)68%
ⓘ 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
AAAAX
DWS RREEF Real Assets Fund
Peer Group
327 funds
Peer Asset Class
1,365 funds
YTD Return
5.52%8.65%217.49%36
1Y Return
7.34%11.06%229.48%37
3Y Return (Ann.)
11.41%15.42%1514.23%30
5Y Return (Ann.)
4.01%7.12%106.38%21
Expense Ratiohigher = cheaper
1.15%0.94%280.80%22
ⓘ 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 Consensus Rank#3.7
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1PDRDX
Diversified Real Asset Fund
Global Large Value
Global Large Value
#3.7-----
2PDPAX
Virtus Duff & Phelps Real Asset Fund
Allocation - Aggressive
Allocation - Aggressive
#5.1-----
3RAPAX
Cohen & Steers Real Assets Fund, Inc.
Allocation - Aggressive
Allocation - Aggressive
#6.2-----
4RALIX
Lazard Real Assets Portfolio
Allocation - Aggressive
Allocation - Aggressive
#7.2-----
5DRAFX
Destinations Real Assets Fund
Allocation - Aggressive
Allocation - Aggressive
#7.4-----
6RTXAX
Tax-Managed Real Assets Fund
Global SMID Value
Global SMID Value
#8.7-----
7TOLCX
DWS RREEF Global Infrastructure Fund
Sector - Infrastructure
Sector - Infrastructure
#9.1-----
8DPREX
Nomura Global Listed Real Assets Fund
Allocation - Aggressive
Allocation - Aggressive
#9.9-----
9REIX
NYLIM CBRE Real Assets ETF
Global SMID Core
Global SMID Core
#13.2-----
10IVRA
Invesco Real Assets ESG ETF
US Mid Core
US Mid Core
#16.3-----

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. Consensus Rank is the geometric mean of those universe ranks (#1.0 = the top match on every method). 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 Consensus Rank is simply the #1 row's figure, 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.