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ANALYTICS
AnalysisScreenerGroups

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JFLI

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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

JFLI

Non-Diversified

JPMorgan Flexible Income ETF

Expense Ratio
0.59%
AUM
$47M
Inception
2/14/2025
1Y Return
+13.1%69th %ilevs 1,365 asset-class peers
·

The fund invests in a combination of two strategies: at least a significant portion in a Managed Futures Strategy that utilizes derivatives for long and short exposure across global equity, fixed income, commodities, and currencies, and a U.S. Equity Strategy focusing on large-capitalization U.S. equities. The Managed Futures Strategy employs proprietary models to identify trends and alpha opportunities, while the U.S. Equity Strategy targets companies with market capitalizations above $10 billion, using direct investments and futures contracts. The fund is non-diversified and may experience high volatility due to its leveraged exposure.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
JFLI
JPMorgan Flexible Income ETF
13.1%13.1%9.8%0.94-6.7%
ⓘ 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
JFLI
JPMorgan Flexible Income ETF
10.1%-0.5%0.6%-1.2%0.8%8.6%13.1%12.5%
ⓘ 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
JFLI
JPMorgan Flexible Income ETF
10.2%*10.1%
ⓘ 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
JFLIGlobal Dev
JPMorgan Flexible Income ETF
2.0%0.72**-0.34**-0.05-0.15**0.16**0.01-0.08*0.91226
ⓘ 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.

SnapshotAs ofvsⓘ

Fund ProfileNon-Diversified

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Asset Allocation
Region
Equity Sleeve Style
Large Core
Peer Group Benchmark
Prospectus Benchmark
MSCI World Index (net total return)
Peer Group
Allocation - Conservative (170 peers)
1Y Peer Percentile
94
Expense Ratio
0.59%
AUM
$47M
Yield
6.73%
Inception
2/14/2025
Holdings (Reported)
4,480
Non-Diversified
Yes
Turnover
13%
Equity
51%
Derivatives
-1%
Net Equity Exposure
61%
Strategy Summary

The fund invests in a combination of two strategies: at least a significant portion in a Managed Futures Strategy that utilizes derivatives for long and short exposure across global equity, fixed income, commodities, and currencies, and a U.S. Equity Strategy focusing on large-capitalization U.S. equities. The Managed Futures Strategy employs proprietary models to identify trends and alpha opportunities, while the U.S. Equity Strategy targets companies with market capitalizations above $10 billion, using direct investments and futures contracts. The fund is non-diversified and may experience high volatility due to its leveraged exposure.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (12/30/2025). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

Based on equity exposure only (51% of total assets).

LargeMidSmall
21%
25%
32%
8%
6%
4%
2%
1%
-
Large
ValueCoreGrowth
Size
Large
78%
Mid
18%
Small
4%
Style
Value
31%
Core
33%
Growth
36%
ⓘ 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 (51% 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 7/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Asset Allocation Funds

Based on equity exposure only (51% of total assets).

Intangible Value57.0
Traditional Value51.5
Small-Cap36.1
Quality52.1
Momentum50.9
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Asset Allocation Funds

Based on equity exposure only (51% of total assets).

Valuation
Book-to-Price (NTM)30.1
Sales-to-Price (NTM)44.4
Earnings-to-Price (NTM)5.4
Innovation/IP
R&D / Mkt Cap1.9
Patents / Mkt Cap1.0
Brand
Sales & Marketing / Mkt Cap2.3
Trademarks / Mkt Cap0.05
Human Capital
PhD Employees / Mkt Cap4.3
Top University Alumni / Mkt Cap8.4
Politics
Lobbying Spend / Mkt Cap15.2
AI
AI Employees / Mkt Cap1.2
ⓘ 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 7/31/2026. 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

Equity51.4%
Fixed Income46.0%
Cash & Short-Term2.6%
Short positions of 0.9% 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 (58% of the book). Cash & Short-Term includes 0.7% 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.

Country Exposure

Level
69.9%
69.3%
Other0.5%
29.3%
5.7%
4.7%
4.7%
3.5%
2.1%
2.0%
1.0%
Other5.6%
Other (1 region)0.8%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level

Based on equity exposure only (51% of total assets).

22.8%
15.9%
9.8%
9.1%
8.7%
7.7%
6.9%
5.5%
5.4%
4.1%
4.0%
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

Based on equity exposure only (51% of total assets).

AI Composition

Infrastructure37.7%
Early Adopter26.0%
Laggard36.3%

Magnificent 7

Magnificent 713.3%
Non-Magnificent 786.7%

Old vs New Economy

Old Economy63.3%
New Economy36.7%

Globalization

Multinational56.0%
Exporter5.1%
Importer12.7%
Domestic26.3%

China Exposure

China/HK Domiciled0.9%
Revenue & Operations10.7%
Operations Only12.7%
Revenue Only6.4%
No Material Exposure69.3%

Company Size

Mega (>$500B)22.7%
Large ($70–500B)44.3%
Mid ($10–70B)29.0%
Small ($1–10B)4.0%
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 51% 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 7/31/2026. Stock-level data as of 8/31/2026.

Holdings

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630 positions (top 10 shown, create for full holdings) · 57.9% in funds

#NameTickerWeight %SectorIndustryCountry
1JPMorgan BetaBuilders USD High Yield Corporate Bond ETFBBHY
32.09
--USA
2JPMorgan Nasdaq Equity Premium Income ETFJEPQ
19.67
--USA
3JPMorgan Equity Premium Income ETFJEPI
4.28
--USA
4JPMorgan Income ETFJPIE
1.85
--USA
5United States of America-
1.37
--USA
6JPMorgan Prime Money Market Fund-
0.96
--USA
7MicrosoftMSFT
0.76
TechnologySoftwareUSA
8NvidiaNVDA
0.37
TechnologySemiconductorsUSA
9ASML HoldingASML
0.34
TechnologySemicap EquipmentNLD
10VolvoVOLV B
0.33
IndustrialsHeavy MachinerySWE
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Asset Allocation Funds

Total Holdings4,480
Effective Holdings6.8
Top 10 Weight62.0%
Max Position32.1%
Top Sector (of Net Assets)65%
Top Country (of Net Assets)77%
ⓘ 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 7/31/2026.

Peer Group Rank

See All Peer Groups
Metric
JFLI
JPMorgan Flexible Income ETF
Peer Group
170 funds
Peer Asset Class
1,365 funds
YTD Return
10.05%2.04%937.49%66
1Y Return
13.05%3.48%949.48%69
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.59%0.94%820.80%67
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (488 share classes across 170 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 Similarity52
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1JOBBX
JPMorgan SmartRetirement Blend 2040 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
52-----
2JNBAX
JPMorgan Income Builder Fund
Allocation - Moderate
Allocation - Moderate
52-----
3FBIFX
Fidelity Freedom Index 2040 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
51-----
4FIHFX
Fidelity Freedom Index 2035 Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
50-----
5MATR
Harbor Multi-Asset Explorer ETF
Allocation - Aggressive
Allocation - Aggressive
39-----
6ITDD
iShares LifePath Target Date 2040 ETF
Target Date 2040 & 2045
Target Date 2040 & 2045
39-----
7ISEAX
VOYA INDEX SOLUTION 2035 PORTFOLIO
Target Date 2030 & 2035
Target Date 2030 & 2035
39-----
8VFORX
VANGUARD TARGET RETIREMENT 2040 FUND
Target Date 2040 & 2045
Target Date 2040 & 2045
39-----
9DRIIX
DIMENSIONAL 2045 TARGET DATE RETIREMENT INCOME FUND
Target Date 2040 & 2045
Target Date 2040 & 2045
39-----
10LEHAX
BlackRock LifePath ESG Index 2045 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
39-----

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 7/31/2026. 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. 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.