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ANALYTICS
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SMSAX

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Peer Universe

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Alternatives Funds · 251 total

ANALYTICS
AnalysisScreenerGroups

SMSAX

SIMT Multi-Strategy Alternatives Fund

Expense Ratio
2.93%
AUM
$228M
Inception
4/1/2010
1Y Return
+8.4%44th %ilevs 251 asset-class peers
·

The fund allocates its assets among various investment strategies through affiliated and unaffiliated funds, including open-end funds, closed-end funds, and exchange-traded funds, as well as through multiple sub-advisers. It employs directional, event-driven, and arbitrage strategies, investing in a broad range of asset classes, including U.S., foreign, and emerging markets securities, across all types of equity and fixed income, including junk bonds. The approach aims to reduce risk and lower volatility while generating positive returns in various market cycles.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
SMSAX
SIMT Multi-Strategy Alternatives Fund
8.4%8.4%5.9%0.78-3.7%
ⓘ 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
SMSAX
SIMT Multi-Strategy Alternatives Fund
5.2%0.0%0.8%-1.7%-1.5%2.2%8.4%7.9%9.2%4.7%2.8%
ⓘ Methodology

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

Annual Returns

Name
2010201120122013201420152016201720182019202020212022202320242025YTD
SMSAX
SIMT Multi-Strategy Alternatives Fund
-1.0%*-4.7%1.9%5.0%0.8%-2.8%4.0%5.3%-3.7%4.8%12.1%1.5%-4.9%7.2%6.4%10.6%5.2%
ⓘ 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

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Factor Regression

Name
Ann. αβ MKTβ SMBβ HMLβ RMWβ CMAβ UMDβ iHMLR²Obs
SMSAXUS
SIMT Multi-Strategy Alternatives Fund
3.4%0.33**0.07**0.05-0.05*0.09**-0.02-0.15**0.76226
ⓘ 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
Alternatives
Region
Equity Sleeve Style
Mid Value
Peer Group Benchmark
Prospectus Benchmark
Bloomberg U.S. Aggregate Bond Index (USD) (TR)
Peer Group
Alts - Other (38 peers)
1Y Peer Percentile
47
3Y Peer Percentile
48
Expense Ratio
2.93%
5Y Tax Drag
1.97%/yr
AUM
$228M
3Y Flow
-23.4%
Yield
4.87%
Inception
4/1/2010
Holdings (Reported)
2,987
Turnover
358%
Equity
41%
Derivatives
0%
Strategy Summary

The fund allocates its assets among various investment strategies through affiliated and unaffiliated funds, including open-end funds, closed-end funds, and exchange-traded funds, as well as through multiple sub-advisers. It employs directional, event-driven, and arbitrage strategies, investing in a broad range of asset classes, including U.S., foreign, and emerging markets securities, across all types of equity and fixed income, including junk bonds. The approach aims to reduce risk and lower volatility while generating positive returns in various market cycles.

ⓘ 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 (36% of total assets).

LargeMidSmall
5%
-
12%
11%
1%
15%
17%
32%
8%
Large
ValueCoreGrowth
Size
Large
17%
Mid
27%
Small
56%
Style
Value
32%
Core
33%
Growth
35%
ⓘ 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 (41% 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.

Factor DetailsRef: Alternatives Funds

Based on equity exposure only (36% of total assets).

None of the selected metrics are scored for SMSAX — 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 (Alternatives 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

Alternatives100.0%
ⓘ Methodology

Taken from what this fund IS rather than from what it files. Its exposure is carried in swaps or futures that mark at close to nothing, so the book it reports is the collateral behind them and a pie of that book would describe a margin account. Gearing is not expressed here - a 3x fund reads 100% of its asset class, not 300%. An alternative strategy is counted by what the fund is, not by what it holds: a long/short or managed futures book is ordinary stocks and Treasury collateral, and neither describes the exposure the fund gives. A fund that is short is counted here too, rather than in the asset class it is short of.

Country Exposure

Level

Based on holdings that carry a country (75% of total assets).

90.8%
89.6%
Other1.2%
8.1%
2.4%
1.9%
1.3%
1.1%
1.0%
Other0.4%
1.1%
1.0%
ⓘ 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 (36% of total assets).

28.6%
17.6%
17.4%
8.3%
7.9%
6.2%
5.1%
3.7%
3.0%
2.1%
0.1%
ⓘ 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 (36% of total assets).

Old vs New Economy

Old Economy86.0%
New Economy14.0%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations2.4%
Operations Only6.8%
Revenue Only1.9%
No Material Exposure88.9%

Company Size

Mega (>$500B)0.0%
Large ($70–500B)4.6%
Mid ($10–70B)39.1%
Small ($1–10B)55.9%
Micro (<$1B)0.5%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 41% 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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485 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1--
18.08
--USA
2--
5.84
--USA
3--
3.93
--USA
4--
2.27
--USA
5--
1.14
--USA
6MTU Aero EnginesMTX
1.05
IndustrialsAerospace & DefenseDEU
7StandardaeroSARO
1.04
IndustrialsAerospace & DefenseUSA
8Carpenter TechnologyCRS
1.02
MaterialsIndustrial MetalsUSA
9AtiATI
0.98
MaterialsIndustrial MetalsUSA
10Sensient TechnologiesSXT
0.97
MaterialsChemicals & PackagingUSA
ⓘ 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: Alternatives Funds

Total Holdings2,987
Effective Holdings20.9
Top 10 Weight36.3%
Max Position18.1%
Top Sector (of Net Assets)58%
Top Country (of Net Assets)88%
ⓘ 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 (Alternatives Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026.

Peer Group Rank

See All Peer Groups
Metric
SMSAX
SIMT Multi-Strategy Alternatives Fund
Peer Group
38 funds
Peer Asset Class
251 funds
YTD Return
5.22%6.34%427.46%38
1Y Return
8.37%8.37%479.49%44
3Y Return (Ann.)
9.20%9.12%489.39%47
5Y Return (Ann.)
4.66%4.23%675.24%40
Expense Ratiohigher = cheaper
2.93%1.41%91.42%10
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (72 share classes across 38 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 Similarity27
Top Overlap
Top Active Tilt
Top Return Corr
Top FF Match
FundPeer Group
1LEQAX
LoCorr Dynamic Opportunity Fund
Alts - Long/Short Equity
Alts - Long/Short Equity
27----
2HYLB
Xtrackers USD High Yield Corporate Bond ETF
Fixed Income - HY Corporate
Fixed Income - HY Corporate
27----
3SGYAX
SIIT HIGH YIELD BOND FUND
Fixed Income - HY Corporate
Fixed Income - HY Corporate
27----
4USHY
iShares Broad USD High Yield Corporate Bond ETF
Fixed Income - HY Corporate
Fixed Income - HY Corporate
26----
5PASIX
PACE Alternative Strategies Investments
Alts - Other
Alts - Other
26----
6SPHY
State Street(R) SPDR(R) Portfolio High Yield Bond ETF
Fixed Income - HY Corporate
Fixed Income - HY Corporate
25----
7NHS
Neuberger High Yield Strategies Fund Inc.
Fixed Income - HY Corporate
Fixed Income - HY Corporate
13----
8BHIIX
Brigade High Income Fund
Fixed Income - HY Corporate
Fixed Income - HY Corporate
13----
9SCYB
Schwab High Yield Bond ETF
Fixed Income - HY Corporate
Fixed Income - HY Corporate
13----
10HYG
iShares iBoxx $ High Yield Corporate Bond ETF
Fixed Income - HY Corporate
Fixed Income - HY Corporate
13----

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. 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.