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ANALYTICS
AnalysisScreenerGroups

Selection

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Peer Universe

Reference set for percentile ranks and factor bars

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ANALYTICS
AnalysisScreenerGroups

Alts - Global Macro

Composite

Peer Group

Expense Ratio
1.13%
#NameTickerAUM
1Eaton Vance Global Macro Absolute Return Advantage FundEGRIX$6.8B
2Goldman Sachs Absolute Return Tracker FundGARTX$6.5B
3Eaton Vance Global Macro Absolute Return FundEAGMX$4.5B
4AQR Macro Opportunities FundQGMIX$1.3B
5Global Multi-Strategy FundPMSAX$639M
6Columbia Multi Strategy Alternatives FundCLAAX$536M
7Allspring Absolute Return FundWARAX$420M
8Strategic Alternatives FundGFSYX$281M
9First Trust Alternative Absolute Return Strategy ETFFAAR$232M
10Mast Multialternative Strategy FundCSQAX$198M
Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
Peer Group
10.1%10.1%6.6%0.95-3.3%
ⓘ Methodology

Peer composites equal-weight the group's share-class representatives' daily returns, including delisted members' alive-era history via the frozen year-end snapshots — though our coverage of closed funds is partial, so composite levels at older dates may run slightly high. Membership is the latest known — style migrators carry their full history. 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
Peer Group
9.3%-0.3%0.6%0.6%3.0%5.1%10.1%10.1%9.7%6.5%4.8%
ⓘ Methodology

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

Annual Returns

Name
1995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025YTD
Peer Group
15.3%*5.4%-0.2%10.7%41.3%-4.6%-3.3%-4.4%21.6%12.8%-15.7%16.0%14.7%-21.4%15.8%4.8%-3.7%7.2%5.2%2.1%-1.5%2.5%5.5%-4.9%7.6%3.4%6.5%-0.5%6.6%6.6%9.5%9.3%
ⓘ 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
Global Dev
Peer Group
-1.1%0.43**-0.080.23**-0.14**-0.17*-0.03-0.10**0.75226
ⓘ 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.

Factor History

Alts - Global Macro Composite

No metrics selected — use Add metric to chart factors over time.

SnapshotAs ofvsⓘ

Fund Profile

Type
68% Mutual Fund, 32% ETF
Asset Class
59% , 18% , 18% , …
Peer Asset Class
Alternatives
Region
57% , 29% , 10% , …
Equity Size & Style
Peer Group Benchmark
Peer Group
Alts - Global Macro (22 peers)
1Y Peer Percentile
48
3Y Peer Percentile
47
Expense Ratio
1.13%
5Y Tax Drag
1.68%/yr
Median Member AUM
$185M
3Y Flow
+81.5%
Yield
2.21%
Inception
5/15/1995
Holdings (Reported)
13,272
Turnover
134%
Equity
16%
Derivatives
0%
ⓘ Methodology

Every figure on this card is an equal-weight aggregate over the composite's share-class-deduped members: the median across the members reporting each field, blank where too few of them do. Three rows depart from that, because a median of them would say nothing: Inception is the group's OLDEST member — where its combined history can start; 3Y Flow is the group's own net flow over its own assets, not the middle member's rate; and Type, Asset Class and Region are compositions by member count. Holdings is the merged look-through book — distinct positions across the members' holdings.

Equity Size & Style Map

Based on equity exposure only (27% of total assets).

LargeMidSmall
20%
25%
26%
8%
7%
7%
5%
2%
1%
Large
ValueCoreGrowth
Size
Large
70%
Mid
21%
Small
9%
Style
Value
33%
Core
34%
Growth
34%
ⓘ 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). 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. Stock-level data as of 8/31/2026. 12 of this group's 22 funds hold too little equity to count.

Composite Factors

Not scored — PEER:Alts - Global Macro’s holdings don’t clear the coverage floor for composite factor scores.

Factor Details

Based on equity exposure only (27% of total assets).

None of the selected metrics are scored for PEER:Alts - Global Macro — 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); percentile overlays are off (Peer Universe: None). Stock-level data as of 8/31/2026. 12 of this group's 22 funds hold too little equity to count.

Asset Class Exposure

Alternatives100.0%
ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. Alternatives holds funds counted by what they are rather than by what they hold - alternative strategies, and funds that are short. A pie cannot draw a negative, and adding a hedge to the class it offsets would make it look like more of that class.

Country Exposure

Level

Based on holdings that carry a country (60% of total assets).

United States77.0%
United States75.9%
Other1.1%
Developed Ex-US12.0%
United Kingdom2.2%
Germany1.5%
Japan1.4%
Other7.0%
Emerging Markets11.0%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Based on N-PORT domicile; ADRs list under their exchange. Stock-level data as of 8/31/2026.

Sector Exposure

Level

Based on equity exposure only (27% of total assets).

Technology28.2%
Financials17.8%
Industrials14.3%
Healthcare9.7%
Consumer Discretionary7.9%
Communication7.2%
Consumer Staples3.4%
Materials3.0%
Utilities2.9%
Real Estate2.8%
Energy2.8%
ⓘ Methodology

Shares are percentages of the fund's classified holdings — every position we can identify, with cash and unidentified positions excluded — not portfolio weights. Stock-level data as of 8/31/2026. 12 of this group's 22 funds hold too little equity to count.

Thematic Exposure

Based on equity exposure only (27% of total assets).

Old vs New Economy

Old Economy52.6%
New Economy47.4%

China Exposure

China/HK Domiciled1.2%
Revenue & Operations12.4%
Operations Only14.7%
Revenue Only4.4%
No Material Exposure67.3%

Company Size

Mega (>$500B)26.2%
Large ($70–500B)33.0%
Mid ($10–70B)28.1%
Small ($1–10B)12.5%
Micro (<$1B)0.2%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 16% 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. Stock-level data as of 8/31/2026. 12 of this group's 22 funds hold too little equity to count.

Holdings

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10 of 22 funds (top 10 shown, create for all 22)

#NameTickerWeight %AUM
1Eaton Vance Global Macro Absolute Return Advantage FundEGRIX
4.55
$6.8B
2Goldman Sachs Absolute Return Tracker FundGARTX
4.55
$6.5B
3Eaton Vance Global Macro Absolute Return FundEAGMX
4.55
$4.5B
4AQR Macro Opportunities FundQGMIX
4.55
$1.3B
5Global Multi-Strategy FundPMSAX
4.55
$639M
6Columbia Multi Strategy Alternatives FundCLAAX
4.55
$536M
7Allspring Absolute Return FundWARAX
4.55
$420M
8Strategic Alternatives FundGFSYX
4.55
$281M
9First Trust Alternative Absolute Return Strategy ETFFAAR
4.55
$232M
10Mast Multialternative Strategy FundCSQAX
4.55
$198M
ⓘ Methodology

The funds this composite is made of, each counting once (100 ÷ 10 — the same equal weighting behind its returns and its median exposures), listed largest first by assets. Tick Look-Through to expand them into the stocks they hold. Holdings Concentration beside this card always describes that looked-through book, not this list — it is a statement about exposure, not about the roster. Stock-level data as of 8/31/2026.

Concentration

Total Holdings13,272
Effective Holdings30.7
Top 10 Weight42.9%
Max Position14.9%
Top Sector (of Net Assets)28%
Top Country (of Net Assets)76%
ⓘ 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; percentile overlays are off (Peer Universe: None). Every row on this card describes the composite's merged look-through book — the stocks its members hold — not the list of member funds, whatever the Holdings card is showing.

Peer Group Rank

See All Peer Groups
Metric
Alts - Global Macro Composite
22 funds
Peer Asset Class
251 funds
YTD Return
7.04%7.46%48
1Y Return
8.61%9.49%46
3Y Return (Ann.)
9.28%9.39%49
5Y Return (Ann.)
5.70%5.24%55
Expense Ratiohigher = cheaper
1.13%1.42%61
ⓘ Methodology

Alts - Global Macro Composite is a Sparkline peer composite — its members are the share-class representatives of the funds in the group (one class per fund: the exchange-listed class where the SEC series has one, else its longest-history class). This card ranks it against its asset class, Alternatives, which is the only pool a composite has: there is no peer group of peer groups, and the region tier is a fund-level grouping. Typical Member rows are medians across those representatives — the value is the group’s median, and the percentile is the median of the members’ own ranks within Alternatives, so both describe the middle fund rather than the group as a whole. Quartile chips fill the layer the rank falls in (top layer = best quartile). A dash is a window the group is younger than, or one too few Alternatives funds have a history for to rank against — hover it for which.