Monarch Select Subsector Index ETF
The fund invests at least 80% of total assets in the constituents of an index comprising 10 equally-weighted U.S. listed ETFs that represent economically advantageous sectors and subsectors. The index follows a proprietary rules-based methodology that selects sectors based on the economic cycle phase, using employment trends to identify those with historically strong performance. The sub-adviser employs a replication indexing strategy, investing in nearly all securities of the index in similar proportions, with over 25% exposure to the healthcare sector as of February 28, 2026.
| Name | Cumulative Return | Ann. Return | Ann. Vol | Sharpe | Max DD |
|---|---|---|---|---|---|
Monarch Select Subsector Index ETF | 12.6% | 12.6% | 13.2% | 0.66 | -10.2% |
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.
Name | YTD | 1D | 5D | 1M | 3M | 6M | 1Y | 2Y | 3Y | 5Y | MAX |
|---|---|---|---|---|---|---|---|---|---|---|---|
Monarch Select Subsector Index ETF | 14.8% | -1.0% | 1.1% | -3.3% | -4.8% | 13.9% | 12.6% | 11.1% | 13.4% |
ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.
Name | 2024 | 2025 | YTD |
|---|---|---|---|
Monarch Select Subsector Index ETF | 9.3%* | 10.3% | 14.8% |
* 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.
Select a second series, or to correlate with the seven research factors.
Name | Ann. α | β MKT | β SMB | β HML | β RMW | β CMA | β UMD | β iHML | R² | Obs |
|---|---|---|---|---|---|---|---|---|---|---|
MSSSUS Monarch Select Subsector Index ETF | 2.8% | 0.82** | 0.29** | 0.05 | -0.09 | 0.34** | -0.16** | -0.10* | 0.72 | 226 |
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.
The fund invests at least 80% of total assets in the constituents of an index comprising 10 equally-weighted U.S. listed ETFs that represent economically advantageous sectors and subsectors. The index follows a proprietary rules-based methodology that selects sectors based on the economic cycle phase, using employment trends to identify those with historically strong performance. The sub-adviser employs a replication indexing strategy, investing in nearly all securities of the index in similar proportions, with over 25% exposure to the healthcare sector as of February 28, 2026.
MethodologyExpense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (5/6/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 5/31/2026. Strategy summary from the fund's prospectus.
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.
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.
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.
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 (100% of the book). Cash & Short-Term includes 0.5% of net assets the filing does not itemise.
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.
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.
Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 94% 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.
10 positions · 99.6% in funds
| # | Name | Ticker | Weight % | Country |
|---|---|---|---|---|
| 1 | SPDR Series Trust | XSD | 11.32 | USA |
| 2 | SPDR Series Trust | XAR | 10.60 | USA |
| 3 | SPDR Series Trust | XSW | 10.50 | USA |
| 4 | iShares Trust | IHF | 9.92 | USA |
| 5 | Invesco Exchange Traded Fund Trust | PEJ | 9.91 | USA |
| 6 | Select Sector SPDR Trust (the) | XLC | 9.53 | USA |
| 7 | iShares Trust | IHI | 9.47 | USA |
| 8 | SPDR Series Trust | KIE | 9.44 | USA |
| 9 | Invesco Exchange-Traded Fund Trust II | KBWP | 9.43 | USA |
| 10 | SPDR Series Trust | XPH | 9.43 | USA |
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.
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.
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.
Metric | MSSS Monarch Select Subsector Index ETF | Peer Group 150 funds | Peer Region 3,133 funds | Peer Asset Class 5,640 funds |
|---|---|---|---|---|
YTD Return | 14.84% | 10.81%73 | 12.22%70 | 11.63%68 |
1Y Return | 12.56% | 11.22%54 | 14.40%40 | 14.44%41 |
3Y Return (Ann.) | - | - | - | - |
5Y Return (Ann.) | - | - | - | - |
Expense Ratiohigher = cheaper | 1.42% | 0.75%8 | 0.75%6 | 0.74%7 |
Sparkline's own holdings-based peer taxonomy (310 share classes across 150 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.
Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.
| Fund | Peer Group | |||||||
|---|---|---|---|---|---|---|---|---|
| 1 | EUSA iShares MSCI USA Equal Weighted ETF US Mid Core | US Mid Core | 32 | - | - | - | - | - |
| 2 | IWR iShares Russell Mid-Cap ETF US Mid Core | US Mid Core | 32 | - | - | - | - | - |
| 3 | BRMIX iShares Russell Mid-Cap Index Fund US Mid Core | US Mid Core | 32 | - | - | - | - | - |
| 4 | VVIMX Voya VACS Index Series MC Portfolio US Mid Core | US Mid Core | 32 | - | - | - | - | - |
| 5 | CVMC Calvert US Mid-Cap Core Responsible Index ETF US Mid Core | US Mid Core | 32 | - | - | - | - | - |
| 6 | FSMDX Fidelity Mid Cap Index Fund US Mid Core | US Mid Core | 32 | - | - | - | - | - |
| 7 | EQAL Invesco Russell 1000 Equal Weight ETF US Mid Value | US Mid Value | 32 | - | - | - | - | - |
| 8 | RSP Invesco S&P 500 Equal Weight ETF US Mid Value | US Mid Value | 31 | - | - | - | - | - |
| 9 | SWMCX Schwab U.S. Mid-Cap Index Fund US Mid Core | US Mid Core | 31 | - | - | - | - | - |
| 10 | GSEW Goldman Sachs Equal Weight U.S. Large Cap Equity ETF US Large Core | US Large Core | 31 | - | - | - | - | - |
The method columns are members-only — create a free account to see these figures.
MethodologyRows 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. 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.