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ANALYTICS
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GARIX

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Peer Universe

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Alternatives Funds · 251 total

ANALYTICS
AnalysisScreenerGroups

GARIX

Gotham Absolute Return Fund

Expense Ratio
1.54%
AUM
$1.5B
Inception
9/4/2012
1Y Return
+19.7%80th %ilevs 251 asset-class peers
·

The fund invests in long and short positions of equity and equity-related securities, primarily in U.S. markets, employing a systematic, bottom-up valuation approach. It maintains net exposure below 70% and gross exposure generally below 190%, while holding several hundred long and short positions weighted by the largest discounts and premiums to the Adviser’s assessment of value. The portfolio is rebalanced daily, with potential investments in ETFs or mutual funds, and a high turnover rate is expected due to frequent rebalancing.

Time Series
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Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
GARIX
Gotham Absolute Return Fund
19.7%19.7%8.8%1.81-3.9%
ⓘ 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
GARIX
Gotham Absolute Return Fund
16.4%-0.2%0.8%2.6%6.1%14.8%19.7%15.1%19.9%14.7%9.6%
ⓘ Methodology

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

Annual Returns

Name
20122013201420152016201720182019202020212022202320242025YTD
GARIX
Gotham Absolute Return Fund
4.9%*29.8%9.3%-10.3%8.0%10.0%-4.9%11.5%-6.2%26.9%-5.0%17.7%20.5%16.2%16.4%
ⓘ 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
GARIXUS
Gotham Absolute Return Fund
4.1%0.54**-0.20**-0.01-0.09**0.16**0.08**0.07*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 Size & Style
Peer Group Benchmark
Prospectus Benchmark
S&P 500 ® Total Return Index
Peer Group
Alts - Long/Short Equity (37 peers)
1Y Peer Percentile
85
3Y Peer Percentile
85
Expense Ratio
1.54%
5Y Tax Drag
1.56%/yr
AUM
$1.5B
3Y Flow
+152.9%
Yield
0.02%
Inception
9/4/2012
Holdings (Reported)
1,948
Turnover
290%
Equity
96%
Derivatives
6%
Net Equity Exposure
53%
Strategy Summary

The fund invests in long and short positions of equity and equity-related securities, primarily in U.S. markets, employing a systematic, bottom-up valuation approach. It maintains net exposure below 70% and gross exposure generally below 190%, while holding several hundred long and short positions weighted by the largest discounts and premiums to the Adviser’s assessment of value. The portfolio is rebalanced daily, with potential investments in ETFs or mutual funds, and a high turnover rate is expected due to frequent rebalancing.

ⓘ Methodology

Expense ratio and its components from the SEC annual shareholder report (12/5/2025); tax drag from its after-tax return table. Turnover from the SEC annual report (12/5/2025). 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

LargeMidSmall
15%
16%
19%
10%
11%
7%
8%
8%
6%
Large
ValueCoreGrowth
Size
Large
50%
Mid
28%
Small
22%
Style
Value
33%
Core
35%
Growth
31%
ⓘ Methodology

Equity size and style definitions. Size: each holding is scored against its own market's size curve — Large above $61.7B in the US and $21.4B elsewhere, Small below $10.8B worldwide — and a fund sits at the weighted average of its holdings. Style: each holding's Traditional Value score is ranked against stocks of the same region and size, and a fund sits at the weighted average of those ranks. Both are relative measures — where a holding stands among comparable stocks, not an absolute threshold. The dollar lines are recomputed from total market capitalisation each time the data is refreshed; the shares of the market they mark are what stay fixed. Cell shading and percentages: share of classified holdings weight per box. The grid and the dot are built from one set of per-holding scores — the dot is their weighted average — so they describe the same book at two levels of detail. The Size and Style bars are the grid's row and column totals. This fund sits close to a style border, so its label and the cell its dot lands in can name different boxes: the label changes only once a fund has moved decisively past a border. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Alternatives Funds

Intangible Value31.7
Traditional Value61.9
Small-Cap74.3
Quality35.7
Momentum59.1
ⓘ 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 Alternatives 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: Alternatives Funds

Valuation
Book-to-Price (NTM)3.8
Sales-to-Price (NTM)6.4
Earnings-to-Price (NTM)2.2
Innovation/IP
R&D / Mkt Cap0.60
Patents / Mkt Cap0.45
Brand
Sales & Marketing / Mkt Cap0.45
Trademarks / Mkt Cap-0.03
Human Capital
PhD Employees / Mkt Cap2.3
Top University Alumni / Mkt Cap3.2
Politics
Lobbying Spend / Mkt Cap2.2
AI
AI Employees / Mkt Cap0.78
ⓘ 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.

Country Exposure

Level
94.2%
93.8%
Other0.3%
5.8%
3.8%
Other2.0%
Other (1 region)0.1%
ⓘ 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
32.9%
14.5%
12.1%
11.1%
7.5%
5.7%
5.6%
5.4%
3.8%
1.5%
ⓘ 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

Infrastructure28.7%
Early Adopter27.4%
Laggard43.9%

Magnificent 7

Magnificent 76.9%
Non-Magnificent 793.1%

Old vs New Economy

Old Economy49.8%
New Economy50.2%

Globalization

Multinational56.0%
Exporter5.6%
Importer14.5%
Domestic23.9%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations12.2%
Operations Only13.5%
Revenue Only5.1%
No Material Exposure69.2%

Company Size

Mega (>$500B)12.7%
Large ($70–500B)32.7%
Mid ($10–70B)33.7%
Small ($1–10B)20.3%
Micro (<$1B)0.6%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 96% 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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1,713 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1Dreyfus Govt Cash Mgmt-I-
3.31
--USA
2SandiskSNDK
2.23
TechnologyTechnology HardwareUSA
3Lam ResearchLRCX
1.72
TechnologySemicap EquipmentUSA
4Micron TechnologyMU
1.42
TechnologySemiconductorsUSA
5AlphabetGOOGL
1.32
CommunicationInternet PlatformsUSA
6NvidiaNVDA
1.26
TechnologySemiconductorsUSA
7Meta PlatformsMETA
1.22
CommunicationInternet PlatformsUSA
8AppleAAPL
1.06
TechnologyTechnology HardwareUSA
9Amazon.comAMZN
1.05
Consumer DiscE-CommerceUSA
10Dell TechnologiesDELL
1.01
TechnologyTechnology HardwareUSA
ⓘ 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 Holdings1,948
Effective Holdings213.1
Top 10 Weight15.6%
Max Position3.3%
Top Sector (of Net Assets)35%
Top Country (of Net Assets)97%
ⓘ 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.

Benchmark DifferentiationRef: Alternatives Funds

vs SPYBroad Benchmark
Active Share63.3%
Tracking Error8.1%
Benchmark Correlation0.84
vs IWRStyle Benchmark
Active Share75.6%
Tracking Error9.7%
Benchmark Correlation0.75
ⓘ Methodology

One sub-card per benchmark: the market primary, then the style secondary — the gap between them is the style sleeve itself. Both anchors are Sparkline-inferred (market from asset class and region, style from the holdings size-and-style map), not the fund's official prospectus benchmark. Solid blue dot marks the fund; the shaded band spans the reference set's 25th–75th percentile, notched at the median (band follows the Peer Universe selector). Active Share compares the fund's book with the benchmark's, share for share; Tracking Error is the annualized daily deviation over the trailing two years (ruler runs to just past the universe's 95th percentile, or past the fund's own figure where that is larger); Benchmark Correlation is the plain daily correlation over the trailing year. Hover the labels for full definitions.

Peer Group Rank

See All Peer Groups
Metric
GARIX
Gotham Absolute Return Fund
Peer Group
37 funds
Peer Asset Class
251 funds
YTD Return
16.44%8.44%857.46%80
1Y Return
19.69%8.47%859.54%80
3Y Return (Ann.)
19.91%12.10%859.55%86
5Y Return (Ann.)
14.67%6.70%885.24%91
Expense Ratiohigher = cheaper
1.54%2.01%801.42%43
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (73 share classes across 37 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 Similarity65
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1GENIX
Gotham Enhanced Return Fund
US Large Core
US Large Core
65-----
2GONIX
Gotham Neutral Fund
US Mid Value
US Mid Value
47-----
3GINDX
Gotham Index Plus Fund
US Large Core
US Large Core
41-----
4GTRFX
Gotham Total Return Fund
US Mid Value
US Mid Value
36-----
5FTLS
First Trust Long/Short Equity ETF
Alts - Long/Short Equity
Alts - Long/Short Equity
35-----
6NFEB
Innovator Growth-100 Power Buffer ETF - February
Options - Buffer/Defined Outcome
Options - Buffer/Defined Outcome
29-----
7NNOV
Innovator Growth-100 Power Buffer ETF - November
Options - Buffer/Defined Outcome
Options - Buffer/Defined Outcome
28-----
8GSPFX
Gotham Enhanced S&P 500 Index Fund
US Large Core
US Large Core
28-----
9RSDE
FT Vest U.S. Equity Equal Weight Buffer ETF - December
Options - Buffer/Defined Outcome
Options - Buffer/Defined Outcome
28-----
10APRP
PGIM S&P 500 Buffer 12 ETF - April
Options - Buffer/Defined Outcome
Options - Buffer/Defined Outcome
28-----

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.