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ANALYTICS
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SSDDX

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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

SSDDX

State Street Target Retirement 2045 Fund

Expense Ratio
0.29%
AUM
$3.5B
Inception
10/1/2014
1Y Return
+12.5%67th %ilevs 1,365 asset-class peers
·

The fund invests in a combination of mutual funds and ETFs, employing a proprietary asset allocation strategy as a "fund of funds." It targets a glide path that emphasizes fixed income investments and reduces equity exposure as the target retirement date of 2045 approaches, with allocations including 37.59% in the State Street Equity 500 Index II Portfolio and 10.00% in the State Street SPDR Portfolio Long Term Treasury ETF. The underlying funds may invest across various asset classes, including equity, fixed income, and derivatives, globally.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
SSDDX
State Street Target Retirement 2045 Fund
12.5%12.5%11.6%0.75-8.3%
ⓘ 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
SSDDX
State Street Target Retirement 2045 Fund
10.4%-0.7%0.7%-1.7%0.6%10.7%12.5%14.3%18.4%8.1%9.5%
ⓘ Methodology

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

Annual Returns

Name
201420152016201720182019202020212022202320242025YTD
SSDDX
State Street Target Retirement 2045 Fund
3.3%*-2.4%9.3%21.4%-8.0%25.4%19.3%13.1%-19.0%18.5%11.8%19.9%10.4%
ⓘ 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
SSDDXGlobal Dev
State Street Target Retirement 2045 Fund
0.4%0.94**-0.21**-0.06-0.07*0.14**-0.01-0.06*0.95226
ⓘ 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 Sleeve Style
Large Core
Peer Group Benchmark
Prospectus Benchmark
S&P 500 Index
Peer Group
Target Date 2040 & 2045 (83 peers)
1Y Peer Percentile
35
3Y Peer Percentile
52
Expense Ratio
0.29%
5Y Tax Drag
1.39%/yr
AUM
$3.5B
3Y Flow
+40.1%
Yield
2.17%
Inception
10/1/2014
Holdings (Reported)
6,610
Turnover
18%
Equity
80%
Derivatives
0%
Strategy Summary

The fund invests in a combination of mutual funds and ETFs, employing a proprietary asset allocation strategy as a "fund of funds." It targets a glide path that emphasizes fixed income investments and reduces equity exposure as the target retirement date of 2045 approaches, with allocations including 37.59% in the State Street Equity 500 Index II Portfolio and 10.00% in the State Street SPDR Portfolio Long Term Treasury ETF. The underlying funds may invest across various asset classes, including equity, fixed income, and derivatives, globally.

ⓘ 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 (3/10/2026). 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 (79% of total assets).

LargeMidSmall
14%
24%
36%
5%
5%
5%
3%
4%
3%
Large
ValueCoreGrowth
Size
Large
74%
Mid
15%
Small
11%
Style
Value
22%
Core
33%
Growth
45%
ⓘ 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 (80% 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 (79% of total assets).

Intangible Value47.3
Traditional Value45.8
Small-Cap47.0
Quality55.1
Momentum63.3
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Asset Allocation Funds

Based on equity exposure only (79% of total assets).

Valuation
Book-to-Price (NTM)30.4
Sales-to-Price (NTM)40.0
Earnings-to-Price (NTM)5.4
Innovation/IP
R&D / Mkt Cap1.8
Patents / Mkt Cap1.0
Brand
Sales & Marketing / Mkt Cap2.2
Trademarks / Mkt Cap0.07
Human Capital
PhD Employees / Mkt Cap4.1
Top University Alumni / Mkt Cap8.4
Politics
Lobbying Spend / Mkt Cap11.6
AI
AI Employees / Mkt Cap1.00
ⓘ 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

Equity79.7%
Fixed Income16.8%
Cash & Short-Term3.4%
ⓘ 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 (100% of the book).

Country Exposure

Level
64.5%
64.3%
Other0.2%
24.6%
5.1%
3.2%
2.9%
2.2%
1.8%
1.7%
1.6%
1.4%
Other4.7%
10.9%
3.2%
2.6%
1.7%
1.3%
Other2.1%
ⓘ 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 (79% of total assets).

Technology29.9%
Financials17.2%
Industrials12.2%
Healthcare8.6%
Consumer Discretionary8.4%
Communication6.9%
Consumer Staples4.3%
Materials4.2%
Energy3.7%
Utilities2.5%
Real Estate2.0%
ⓘ 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 (79% of total assets).

AI Composition

Infrastructure36.5%
Early Adopter24.4%
Laggard39.1%

Magnificent 7

Magnificent 715.0%
Non-Magnificent 785.0%

Old vs New Economy

Old Economy52.9%
New Economy47.1%

Globalization

Multinational54.6%
Exporter8.0%
Importer12.7%
Domestic24.6%

China Exposure

China/HK Domiciled2.6%
Revenue & Operations11.6%
Operations Only14.8%
Revenue Only6.4%
No Material Exposure64.6%

Company Size

Mega (>$500B)27.4%
Large ($70–500B)35.0%
Mid ($10–70B)27.6%
Small ($1–10B)9.6%
Micro (<$1B)0.3%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 80% 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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7 positions · 100.6% in funds

#NameTickerWeight %Country
1State Street Equity 500 Index II PortfolioSSEYX
38.49
USA
2State Street Global All Cap Equity ex-U.S. Index PortfolioSSGVX
35.18
USA
3State Street Small/Mid Cap Equity Index PortfolioSSMHX
9.99
USA
4State Street SPDR Portfolio Long Term Treasury ETFSPTL
9.60
USA
5State Street Aggregate Bond Index PortfolioSSAFX
7.39
USA
6State Street Global Advisors-
0.17
USA
7State Street Global Advisors-
0.01
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 Holdings6,610
Effective Holdings3.4
Top 10 Weight100.8%
Max Position38.5%
Top Sector (of Net Assets)101%
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 6/30/2026.

Peer Group Rank

See All Peer Groups
Metric
SSDDX
State Street Target Retirement 2045 Fund
Peer Group
83 funds
Peer Asset Class
1,365 funds
YTD Return
10.37%10.78%407.49%68
1Y Return
12.46%13.13%359.48%67
3Y Return (Ann.)
18.40%18.17%5214.23%78
5Y Return (Ann.)
8.09%8.61%356.38%69
Expense Ratiohigher = cheaper
0.29%0.52%730.80%85
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (372 share classes across 83 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 Similarity93
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1SSCNX
State Street Target Retirement 2040 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
93-----
2SSDJX
State Street Target Retirement 2050 Fund
Target Date 2050 & 2055
Target Date 2050 & 2055
90-----
3SSCJX
State Street Target Retirement 2035 Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
88-----
4SSDOX
State Street Target Retirement 2055 Fund
Target Date 2050 & 2055
Target Date 2050 & 2055
88-----
5SSFJX
State Street Target Retirement 2065 Fund
Target Date 2060+
Target Date 2060+
72-----
6SSDWX
State Street Target Retirement 2060 Fund
Target Date 2060+
Target Date 2060+
72-----
7FBIFX
Fidelity Freedom Index 2040 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
61-----
8JOBBX
JPMorgan SmartRetirement Blend 2040 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
61-----
9VFORX
VANGUARD TARGET RETIREMENT 2040 FUND
Target Date 2040 & 2045
Target Date 2040 & 2045
61-----
10AOA
iShares Core 80/20 Aggressive Allocation ETF
Allocation - Aggressive
Allocation - Aggressive
61-----

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.