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ANALYTICS
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MEMA

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Equity Funds · 5,640 total

ANALYTICS
AnalysisScreenerGroups

MEMA

Man Active Emerging Markets Alternative ETF

Expense Ratio
0.85%
AUM
$12M
Inception
12/18/2025
·

The fund will invest, under normal circumstances, at least 80% of its net assets, plus any borrowings for investment purposes, in equity and equity-related securities of emerging market issuers. Equity and equity-related securities include exchange-traded and over-the-counter common and preferred stocks, warrants, options, rights, convertible securities, sponsored and unsponsored depositary receipts, trust certificates, partnership interests and shares of other investment companies (including other exchange-traded funds (“ETFs”)). The fund is non-diversified.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
MEMA
Man Active Emerging Markets Alternative ETF
25.2%32.3%27.3%1.06-14.7%
ⓘ 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 12/18/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
MEMA
Man Active Emerging Markets Alternative ETF
21.8%-1.5%1.1%-1.1%3.0%15.0%25.4%
ⓘ Methodology

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

Annual Returns

Name
2025YTD
MEMA
Man Active Emerging Markets Alternative ETF
2.9%*21.8%
ⓘ 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
MEMADev Ex-US
Man Active Emerging Markets Alternative ETF
21.5%0.73**-1.34**-0.17-0.73-1.07*0.20-0.31*0.53175
ⓘ Methodology

ETF performance based on market prices. Dev Ex-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). 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 12/18/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund Profile

Family
Registrant
Type
ETF
Asset Class
Equity
Region
Equity Size & Style
Peer Group Benchmark
Peer Group
Global ex-US Large Core (146 peers)
Expense Ratio
0.85%
AUM
$12M
Inception
12/18/2025
Holdings (Reported)
464
Turnover
0%
Equity
49%
Derivatives
1%
Net Equity Exposure
98%
Strategy Summary

The fund will invest, under normal circumstances, at least 80% of its net assets, plus any borrowings for investment purposes, in equity and equity-related securities of emerging market issuers. Equity and equity-related securities include exchange-traded and over-the-counter common and preferred stocks, warrants, options, rights, convertible securities, sponsored and unsponsored depositary receipts, trust certificates, partnership interests and shares of other investment companies (including other exchange-traded funds (“ETFs”)). The fund is non-diversified.

ⓘ Methodology

Expense ratio and its components from market data (10/6/2026). Turnover from market data (10/6/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 5/31/2026. Summary may be from an older prospectus.

Equity Size & Style Map

LargeMidSmall
13%
23%
32%
7%
7%
5%
7%
4%
2%
Large
ValueCoreGrowth
Size
Large
69%
Mid
18%
Small
13%
Style
Value
27%
Core
34%
Growth
39%
ⓘ 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. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Equity Funds

Intangible Value17.0
Traditional Value63.0
Small-Cap69.9
Quality42.4
Momentum77.3
ⓘ 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 Equity Funds class 25th–75th percentile of scores, notched at the median. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Equity Funds

Valuation
Book-to-Price (NTM)23.2
Sales-to-Price (NTM)20.2
Earnings-to-Price (NTM)5.6
Innovation/IP
R&D / Mkt Cap1.6
Patents / Mkt Cap1.1
Brand
Sales & Marketing / Mkt Cap2.5
Trademarks / Mkt Cap0.14
Human Capital
PhD Employees / Mkt Cap1.1
Top University Alumni / Mkt Cap0.74
Politics
Lobbying Spend / Mkt Cap1.1
AI
AI Employees / Mkt Cap0.20
ⓘ 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 (Equity Funds) 25th–75th percentile, notched at the median. Holdings as of 5/31/2026. 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

Equity43.0%
Fixed Income45.3%
Cash & Short-Term8.6%
Other3.2%
Short positions of 2.3% of net assets are not shown.ⓘ 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 (10% of the book). Cash & Short-Term includes 8.3% of net assets the filing does not itemise. 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
69.4%
18.6%
17.4%
12.5%
7.0%
3.4%
3.0%
1.4%
1.2%
1.1%
1.1%
Other2.6%
28.1%
28.1%
2.5%
2.2%
Other0.3%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level
42.5%
17.2%
7.4%
7.1%
6.5%
4.7%
3.7%
3.6%
3.4%
3.0%
0.7%
ⓘ 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 5/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure46.4%
Early Adopter7.6%
Laggard45.9%

Magnificent 7

Magnificent 70.0%
Non-Magnificent 7100.0%

Old vs New Economy

Old Economy45.5%
New Economy54.5%

Globalization

Multinational27.1%
Exporter19.6%
Importer6.4%
Domestic46.8%

China Exposure

China/HK Domiciled56.3%
Revenue & Operations1.0%
Operations Only1.7%
Revenue Only0.7%
No Material Exposure40.3%

Company Size

Mega (>$500B)29.5%
Large ($70–500B)16.6%
Mid ($10–70B)42.0%
Small ($1–10B)11.9%
Micro (<$1B)0.0%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 49% 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 5/31/2026. Stock-level data as of 8/31/2026.

Holdings

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294 positions (top 10 shown, create for full holdings) · 9.1% in funds

#NameTickerWeight %SectorIndustryCountry
1iShares TrustINDA
9.08
--USA
2United States OF America - Bureau OF The Public Debt-
8.42
--USA
3United States OF America - Bureau OF The Public Debt-
7.41
--USA
4United States OF America - Bureau OF The Public Debt-
7.17
--USA
5United States OF America - Bureau OF The Public Debt-
3.93
--USA
6United States OF America - Bureau OF The Public Debt-
3.79
--USA
7United States OF America - Bureau OF The Public Debt-
3.72
--USA
8United States OF America - Bureau OF The Public Debt-
3.40
--USA
9United States OF America - Bureau OF The Public Debt-
3.39
--USA
10Tencent Holdings700
2.77
CommunicationInternet PlatformsKY
ⓘ 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 5/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Equity Funds

Total Holdings464
Effective Holdings23.1
Top 10 Weight53.1%
Max Position9.1%
Top Sector (of Net Assets)60%
Top Country (of Net Assets)58%
ⓘ 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 (Equity Funds) 25th–75th percentile, notched at the median. Holdings as of 5/31/2026.

Benchmark DifferentiationRef: Equity Funds

vs ACWXBroad Benchmark
Active Share91.4%
Benchmark Correlation0.91
ⓘ 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
MEMA
Man Active Emerging Markets Alternative ETF
Peer Group
146 funds
Peer Region
338 funds
Peer Asset Class
5,640 funds
YTD Return
21.84%13.20%9611.48%9411.63%87
1Y Return
----
3Y Return (Ann.)
----
5Y Return (Ann.)
----
Expense Ratiohigher = cheaper
0.85%0.83%450.86%520.74%41
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (420 share classes across 146 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 Similarity39
Top Overlap
Top Active Tilt
Top Factor Match
FundPeer Group
1ATACX
ATAC Rotation Fund
Allocation - Aggressive
Allocation - Aggressive
39---
2DFCEX
EMERGING MARKETS CORE EQUITY 2 PORTFOLIO
Emerging Large Core
Emerging Large Core
34---
3DESIX
Emerging Markets Sustainability Core 1 Portfolio
Emerging Large Core
Emerging Large Core
33---
4BKF
iShares MSCI BIC ETF
Emerging Large Core
Emerging Large Core
33---
5DFSE
Dimensional Emerging Markets Sustainability Core 1 ETF
Emerging Large Core
Emerging Large Core
32---
6DFEM
Dimensional Emerging Markets Core Equity 2 ETF
Emerging Large Core
Emerging Large Core
32---
7AVEEX
Avantis Emerging Markets Equity Fund
Emerging Large Value
Emerging Large Value
25---
8GMF
State Street(R) SPDR(R) S&P(R) Emerging Asia Pacific ETF
Region - Emerging Asia
Region - Emerging Asia
21---
9DFAE
Dimensional Emerging Core Equity Market ETF
Emerging Large Core
Emerging Large Core
21---
10JHEM
John Hancock Multifactor Emerging Markets ETF
Emerging Large Core
Emerging Large Core
21---

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 5/31/2026. 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.