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ANALYTICS
AnalysisScreenerGroups

Selection

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GAFAX

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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

GAFAX

Virtus AlphaSimplex Global Alternatives Fund

Expense Ratio
1.56%
AUM
$78M
Inception
10/1/2008
1Y Return
+14.8%79th %ilevs 1,365 asset-class peers
·

The fund typically invests in a wide range of derivative instruments and direct investments to achieve long and short exposure to global equity, bond, currency, and commodity markets. Under normal market conditions, it targets an annualized volatility level of 9% or less, while allocating up to 25% of total assets to a wholly-owned subsidiary for commodity-related investments. The investment strategy includes quantitative models for market exposure estimation and employs various hedge fund strategies, such as merger arbitrage and trend-following.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
GAFAX
Virtus AlphaSimplex Global Alternatives Fund
14.8%14.8%8.8%1.25-5.3%
ⓘ 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
GAFAX
Virtus AlphaSimplex Global Alternatives Fund
13.7%-0.3%0.2%-0.2%4.8%10.1%14.8%9.7%10.1%6.5%3.7%
ⓘ Methodology

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

Annual Returns

Name
200820092010201120122013201420152016201720182019202020212022202320242025YTD
GAFAX
Virtus AlphaSimplex Global Alternatives Fund
-2.7%*10.6%9.3%-6.8%3.5%15.7%3.5%-2.7%-4.4%10.9%-6.5%10.3%-2.4%1.0%-0.8%3.5%9.4%6.5%13.7%
ⓘ 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
GAFAXUS
Virtus AlphaSimplex Global Alternatives Fund
4.3%0.60**-0.18**0.14**-0.07*0.17**0.00-0.15**0.74226
ⓘ 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
Mid Growth
Peer Group Benchmark
Prospectus Benchmark
FT Wilshire 5000 Index
Peer Group
Allocation - Moderate (277 peers)
1Y Peer Percentile
92
3Y Peer Percentile
18
Expense Ratio
1.56%
5Y Tax Drag
1.15%/yr
AUM
$78M
3Y Flow
+11.2%
Yield
0.00%
Inception
10/1/2008
Holdings (Reported)
835
Turnover
514%
Equity
40%
Derivatives
-1%
Strategy Summary

The fund typically invests in a wide range of derivative instruments and direct investments to achieve long and short exposure to global equity, bond, currency, and commodity markets. Under normal market conditions, it targets an annualized volatility level of 9% or less, while allocating up to 25% of total assets to a wholly-owned subsidiary for commodity-related investments. The investment strategy includes quantitative models for market exposure estimation and employs various hedge fund strategies, such as merger arbitrage and trend-following.

ⓘ 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 (3/5/2026). 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

LargeMidSmall
1%
3%
23%
3%
5%
35%
8%
8%
15%
Large
ValueCoreGrowth
Size
Large
27%
Mid
42%
Small
31%
Style
Value
12%
Core
16%
Growth
72%
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Asset Allocation Funds

Intangible Value26.6
Traditional Value40.4
Small-Cap72.1
Quality17.0
Momentum23.9
ⓘ 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

Valuation
Book-to-Price (NTM)8.3
Sales-to-Price (NTM)19.8
Earnings-to-Price (NTM)3.2
Innovation/IP
R&D / Mkt Cap1.2
Patents / Mkt Cap0.23
Brand
Sales & Marketing / Mkt Cap1.2
Trademarks / Mkt Cap0.06
Human Capital
PhD Employees / Mkt Cap3.2
Top University Alumni / Mkt Cap6.6
Politics
Lobbying Spend / Mkt Cap8.1
AI
AI Employees / Mkt Cap0.65
ⓘ 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

Equity33.9%
Cash & Short-Term50.1%
Other1.7%
Cash & Other (Unreported)14.4%
Short positions of 2.5% of net assets are not shown.ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. N-PORT does not itemise plain balance-sheet cash, so the 14.4% the filing leaves unlisted is shown as an unreported residual rather than assumed away. 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

Based on holdings that carry a country (40% of total assets).

70.8%
70.4%
Other0.4%
28.8%
9.5%
9.1%
8.7%
Other1.5%
Other (1 region)0.4%
ⓘ 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
54.0%
16.8%
7.0%
5.1%
5.0%
3.2%
1.9%
1.9%
1.8%
1.7%
1.6%
ⓘ 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

AI Composition

Infrastructure4.3%
Early Adopter48.6%
Laggard47.1%

Magnificent 7

Magnificent 70.4%
Non-Magnificent 799.6%

Old vs New Economy

Old Economy85.2%
New Economy14.8%

Globalization

Multinational54.8%
Exporter1.9%
Importer14.7%
Domestic28.6%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations8.5%
Operations Only7.7%
Revenue Only0.9%
No Material Exposure82.9%

Company Size

Mega (>$500B)1.0%
Large ($70–500B)6.4%
Mid ($10–70B)62.7%
Small ($1–10B)27.7%
Micro (<$1B)2.2%
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

Holdings

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

#NameTickerWeight %SectorIndustryCountry
1Dreyfus Govt Cash Mgmt-I-
50.09
--USA
2CintasCTAS
0.43
IndustrialsBusiness ServicesUSA
3StrideLRN
0.42
Consumer DiscHospitalityUSA
4Veeco InstrumentsVECO
0.42
TechnologySemicap EquipmentUSA
5Axos FinancialAX
0.39
FinancialsNat'l & Regional BanksUSA
6Northwestern Energy GroupNWE
0.38
UtilitiesRegulated UtilitiesUSA
7CimpressCMPR
0.37
IndustrialsBusiness ServicesIRL
8PaychexPAYX
0.37
FinancialsPayments & Cons FinUSA
9Conagra BrandsCAG
0.36
Consumer StaplesFood & BevUSA
10Ethan Allen InteriorsETD
0.36
Consumer DiscHome & LeisureUSA
ⓘ 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 Holdings835
Effective Holdings2.9
Top 10 Weight53.6%
Max Position50.1%
Top Sector (of Net Assets)52%
Top Country (of Net Assets)82%
ⓘ 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
GAFAX
Virtus AlphaSimplex Global Alternatives Fund
Peer Group
277 funds
Peer Asset Class
1,365 funds
YTD Return
13.69%5.53%967.49%90
1Y Return
14.81%7.28%929.48%79
3Y Return (Ann.)
10.05%12.45%1814.23%18
5Y Return (Ann.)
6.47%5.28%696.38%51
Expense Ratiohigher = cheaper
1.56%0.90%130.80%11
ⓘ 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
1LALT
First Trust Multi-Strategy Alternative ETF
Alts - Other
Alts - Other
37-----
2SRFJX
Ocean Park Tactical Risk Spectrum 50 Fund
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
26-----
3GARTX
Goldman Sachs Absolute Return Tracker Fund
Alts - Global Macro
Alts - Global Macro
24-----
4LNOAX
Ladenburg Income & Growth Fund
Allocation - Moderate
Allocation - Moderate
24-----
5EVFTX
The E-Valuator Conservative/Moderate (30%-50%) RMS Fund
Allocation - Moderate
Allocation - Moderate
24-----
6EVFMX
The E-Valuator Moderate (50%-70%) RMS Fund
Allocation - Moderate
Allocation - Moderate
23-----
7SRSJX
Ocean Park Tactical Risk Spectrum 70 Fund
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
23-----
8TBFC
The Brinsmere Fund - Conservative ETF
Allocation - Moderate
Allocation - Moderate
23-----
9QAI
NYLIM Hedge Multi-Strategy Tracker ETF
Alts - Other
Alts - Other
23-----
10LOWAX
Ladenburg Growth & Income Fund
Allocation - Aggressive
Allocation - Aggressive
19-----

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.