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ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

HDGE

Seeded with the selected fund at 100%

Benchmark

Pick one fund or composite — returns and exposures render in excess of it

Peer Universe

Reference set for percentile ranks and factor bars

Inverse Funds · 221 total

ANALYTICS
AnalysisScreenerGroups

HDGE

Inverse

AdvisorShares Ranger Equity Bear ETF

Expense Ratio
3.62%
AUM
$60M
Inception
1/28/2011
1Y Return
-3.4%74th %ilevs 221 asset-class peers
·

The fund invests at least 80% of net assets in short positions in liquid mid- and large-cap U.S. exchange-traded equity securities, ETFs, ETNs, and other ETPs under normal circumstances. It employs a bottom-up, fundamental research-driven security selection process to identify securities with low earnings quality or aggressive accounting, focusing on earnings-driven events that may catalyze price declines. The strategy involves frequent trading and includes holding U.S. government securities and high-quality fixed income instruments for investment and short position coverage.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
HDGE
AdvisorShares Ranger Equity Bear ETF
-3.4%-3.4%19.4%-0.37-24.3%
ⓘ 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
HDGE
AdvisorShares Ranger Equity Bear ETF
-3.8%1.0%-1.9%9.6%-2.8%-12.8%-3.4%-4.4%-8.1%-5.8%-15.1%
ⓘ Methodology

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

Annual Returns

Name
201120122013201420152016201720182019202020212022202320242025YTD
HDGE
AdvisorShares Ranger Equity Bear ETF
0.9%*-26.8%-30.3%-10.4%-5.9%-14.0%-15.2%7.5%-36.3%-43.5%-18.7%16.7%-27.0%-8.0%1.5%-3.8%
ⓘ 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
HDGEUS
AdvisorShares Ranger Equity Bear ETF
-1.1%-1.02**-0.56**0.080.04-0.33**0.48**-0.18**0.79226
ⓘ 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 ProfileInverse

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Inverse
Prospectus Benchmark
S&P 500 Index
Peer Group
Inverse - Equity (188 peers)
1Y Peer Percentile
82
3Y Peer Percentile
90
Expense Ratio
3.62%
5Y Tax Drag
1.09%/yr
AUM
$60M
3Y Flow
+93.5%
Yield
3.56%
Inception
1/28/2011
Holdings (Reported)
56
Turnover
812%
Equity
0%
Derivatives
0%
Net Equity Exposure
-94%
Strategy Summary

The fund invests at least 80% of net assets in short positions in liquid mid- and large-cap U.S. exchange-traded equity securities, ETFs, ETNs, and other ETPs under normal circumstances. It employs a bottom-up, fundamental research-driven security selection process to identify securities with low earnings quality or aggressive accounting, focusing on earnings-driven events that may catalyze price declines. The strategy involves frequent trading and includes holding U.S. government securities and high-quality fixed income instruments for investment and short position coverage.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table; tax drag from its after-tax return table. Turnover from the SEC annual report (9/1/2026). 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
Large
ValueCoreGrowth
ⓘ 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). Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Inverse Funds

Intangible Value0.3
Traditional Value58.8
Small-Cap97.7
Quality10.4
Momentum90.3
ⓘ 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 Inverse 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: Inverse Funds

Valuation
Book-to-Price (NTM)-49.7
Sales-to-Price (NTM)-66.7
Earnings-to-Price (NTM)-6.6
Innovation/IP
R&D / Mkt Cap-3.5
Patents / Mkt Cap-0.55
Brand
Sales & Marketing / Mkt Cap-4.1
Trademarks / Mkt Cap-0.19
Human Capital
PhD Employees / Mkt Cap-8.5
Top University Alumni / Mkt Cap-35.4
Politics
Lobbying Spend / Mkt Cap-58.0
AI
AI Employees / Mkt Cap-3.9
ⓘ 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 (Inverse 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.

Holdings

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56 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1Fidelity Institutional Money Market Government Portfolio ? Class Iii-
60.76
--USA
2BlackRock Liquidity FedFund-
3.60
--USA
3Procore TechnologiesPCOR
-0.62
TechnologySoftwareUSA
4Aci WorldwideACIW
-0.76
TechnologySoftwareUSA
5International Paper CompanyIP
-1.16
MaterialsChemicals & PackagingUSA
6WPPWPP
-1.18
CommunicationMediaJE
7PTCPTC
-1.21
TechnologySoftwareUSA
8AdtADT
-1.23
IndustrialsBusiness ServicesUSA
9Thomson ReutersTRI
-1.24
IndustrialsBusiness ServicesCAN
10Boot Barn HoldingsBOOT
-1.25
Consumer DiscTraditional RetailUSA
ⓘ 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: Inverse Funds

Total Holdings56
Effective Holdings1.1
Top 10 Weight64.4%
Max Position60.8%
Top Sector (of Net Assets)64%
Top Country (of Net Assets)64%
ⓘ 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 (Inverse Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026.

Peer Group Rank

See All Peer Groups
Metric
HDGE
AdvisorShares Ranger Equity Bear ETF
Peer Group
188 funds
Peer Asset Class
221 funds
YTD Return
-3.81%-23.88%85-21.64%79
1Y Return
-3.37%-23.92%82-20.01%74
3Y Return (Ann.)
-8.08%-26.68%90-26.23%81
5Y Return (Ann.)
-5.82%-15.62%77-15.20%69
Expense Ratiohigher = cheaper
3.62%1.02%11.00%1
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (233 share classes across 188 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 Similarity62
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1DWSH
AdvisorShares Dorsey Wright Short ETF
Inverse - Equity
Inverse - Equity
62-----
2SBB
ProShares Short SmallCap600
Inverse - Equity
Inverse - Equity
53-----
3EMTY
ProShares Decline of the Retail Store ETF
Inverse - Equity
Inverse - Equity
53-----
4MYY
ProShares Short MidCap400
Inverse - Equity
Inverse - Equity
50-----
5EVIFX
Eaton Vance Balanced Fund
Allocation - Moderate
Allocation - Moderate
46-----
6RYCLX
Inverse Mid-Cap Strategy Fund
Inverse - Equity
Inverse - Equity
46-----
7RYCQX
Inverse Russell 2000 Strategy Fund
Inverse - Equity
Inverse - Equity
46-----
8SDD
ProShares UltraShort SmallCap600
Inverse - Equity
Inverse - Equity
46-----
9RXD
ProShares UltraShort Health Care
Inverse - Equity
Inverse - Equity
46-----
10DFJSX
JAPANESE SMALL COMPANY PORTFOLIO
Developed Ex-US SMID Core
Developed Ex-US SMID Core
46-----

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.