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ANALYTICS
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KTRAX

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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

KTRAX

DWS Global Income Builder Fund

Expense Ratio
0.90%
AUM
$619M
Inception
1/2/1980
1Y Return
+10.2%55th %ilevs 1,365 asset-class peers
·

The fund invests in a broad range of traditional and alternative asset classes, including at least 25% of net assets in fixed income securities. It can hold various securities such as common stocks, corporate bonds, and derivatives, and typically maintains investment exposure to foreign securities equal to at least 40% of net assets, with a focus on at least three different countries. Portfolio management employs multiple strategies and may utilize derivatives for risk management and to enhance potential gains.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
KTRAX
DWS Global Income Builder Fund
10.2%10.2%9.5%0.68-7.4%
ⓘ 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
KTRAX
DWS Global Income Builder Fund
8.3%-0.6%0.5%-2.6%-0.3%8.6%10.2%10.8%14.7%6.5%6.8%
ⓘ Methodology

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

Annual Returns

Name
1980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025YTD
KTRAX
DWS Global Income Builder Fund
36.5%-3.5%16.7%7.4%-2.2%21.7%4.5%-5.1%8.8%19.8%4.1%36.2%-1.7%0.2%-9.2%19.8%16.3%19.2%15.9%14.6%-2.7%-6.8%-15.7%17.2%6.1%4.0%9.8%4.4%-27.4%22.6%11.5%-1.7%13.0%13.6%2.0%-5.0%9.5%16.4%-8.0%19.9%8.1%10.6%-15.4%14.7%8.9%15.7%8.3%
ⓘ Methodology

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
KTRAXUS
DWS Global Income Builder Fund
2.5%0.63**-0.01-0.030.000.12**0.04**-0.06*0.84226
ⓘ 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 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 Sleeve Style
Large Value
Peer Group Benchmark
Prospectus Benchmark
DWS Index MSCI Al CWI Index
Peer Group
Allocation - Moderate (277 peers)
1Y Peer Percentile
77
3Y Peer Percentile
74
Expense Ratio
0.90%
AUM
$619M
3Y Flow
-4.2%
Yield
3.86%
History Since
1/2/1980
Holdings (Reported)
408
Turnover
191%
Equity
40%
Derivatives
0%
Strategy Summary

The fund invests in a broad range of traditional and alternative asset classes, including at least 25% of net assets in fixed income securities. It can hold various securities such as common stocks, corporate bonds, and derivatives, and typically maintains investment exposure to foreign securities equal to at least 40% of net assets, with a focus on at least three different countries. Portfolio management employs multiple strategies and may utilize derivatives for risk management and to enhance potential gains.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (12/30/2025). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

Based on equity exposure only (38% of total assets).

LargeMidSmall
29%
18%
38%
10%
4%
1%
-
-
-
Large
ValueCoreGrowth
Size
Large
85%
Mid
15%
Small
0%
Style
Value
39%
Core
22%
Growth
39%
ⓘ 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 (40% 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 7/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Asset Allocation Funds

Based on equity exposure only (38% of total assets).

None of the selected metrics are scored for KTRAX — switch the picker to All, or add metrics under Metrics (top right).

ⓘ 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 7/31/2026. 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

Equity38.0%
Fixed Income51.8%
Cash & Short-Term10.1%
Other0.1%
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. 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
73.0%
71.1%
2.0%
16.7%
3.0%
2.2%
2.2%
1.7%
1.6%
1.2%
Other4.9%
10.3%
2.3%
1.3%
1.1%
1.0%
Other4.6%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level

Based on equity exposure only (38% of total assets).

25.0%
21.0%
9.7%
8.6%
7.8%
7.4%
6.9%
5.1%
3.2%
2.9%
2.3%
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

Based on equity exposure only (38% of total assets).

Old vs New Economy

Old Economy58.8%
New Economy41.2%

China Exposure

China/HK Domiciled2.8%
Revenue & Operations3.5%
Operations Only27.0%
Revenue Only7.9%
No Material Exposure58.8%

Company Size

Mega (>$500B)26.6%
Large ($70–500B)42.2%
Mid ($10–70B)31.1%
Small ($1–10B)0.0%
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 40% 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 7/31/2026. Stock-level data as of 8/31/2026.

Holdings

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403 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1United States Treasury-
5.50
--USA
2DWS-
5.15
--USA
3NvidiaNVDA
3.35
TechnologySemiconductorsUSA
4United States Treasury-
1.91
--USA
5United States Treasury-
1.84
--USA
6Amazon.comAMZN
1.61
Consumer DiscE-CommerceUSA
7AmphenolAPH
1.49
TechnologyTechnology HardwareUSA
8Government National Mortgage Association-
1.49
--USA
9DWS-
1.45
--USA
10Phillips 66PSX
1.35
EnergyOil MajorsUSA
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Asset Allocation Funds

Total Holdings408
Effective Holdings88.4
Top 10 Weight25.1%
Max Position5.5%
Top Sector (of Net Assets)49%
Top Country (of Net Assets)75%
ⓘ 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 7/31/2026.

Peer Group Rank

See All Peer Groups
Metric
KTRAX
DWS Global Income Builder Fund
Peer Group
277 funds
Peer Asset Class
1,365 funds
YTD Return
8.25%5.53%797.49%56
1Y Return
10.23%7.28%779.48%55
3Y Return (Ann.)
14.71%12.44%7414.21%53
5Y Return (Ann.)
6.45%5.28%686.38%51
Expense Ratiohigher = cheaper
0.90%0.90%480.80%40
ⓘ 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 Similarity48
Top Overlap
Top Active Tilt
Top Return Corr
Top FF Match
FundPeer Group
1TLYIX
Nuveen Lifecycle Index 2035 Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
48----
2ELDFX
ELFUN DIVERSIFIED FUND
Allocation - Moderate
Allocation - Moderate
42----
3PACAX
Putnam Dynamic Asset Allocation Conservative Fund
Allocation - Moderate
Allocation - Moderate
40----
4SCSBX
DWS Total Return Bond Fund
Fixed Income - Core
Fixed Income - Core
33----
5PAEAX
Putnam Dynamic Asset Allocation Growth Fund
Allocation - Aggressive
Allocation - Aggressive
33----
6FRTAX
Franklin LifeSmart 2035 Retirement Target Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
33----
7FLREX
Franklin LifeSmart 2040 Retirement Target Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
33----
8FLERX
Franklin LifeSmart 2030 Retirement Target Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
33----
9PABAX
Putnam Dynamic Asset Allocation Balanced Fund
Allocation - Aggressive
Allocation - Aggressive
33----
10PRRZX
Franklin Retirement Advantage Plus 2040 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
33----

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 7/31/2026. 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. 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.