AdvisorShares Dorsey Wright Short (DWSH.US)

10-Year Study

DWSH.US · US · ETF

About AdvisorShares Dorsey Wright Short (DWSH.US)

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The fund is an actively managed ETF that seeks to achieve the fund's investment objective by obtaining short exposure to investment returns of the broad U.S. large-capitalization equity market through short sales of U.S.-traded equity securities and ETFs....

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

AdvisorShares Dorsey Wright Short (DWSH.US) charges an annual expense ratio of 2.84%, manages approximately $6.2M in net assets, and maintains a portfolio of 49 holdings.

Executive Summary: AdvisorShares Dorsey Wright Short has compounded at -14.2% annually over the last 10 years, with a maximum drawdown of 79.7% and an annualized volatility of 20.5%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-8.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-8.1%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-4.0%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-14.2%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2018-07-01$10,000
2018-08-01$10,052
2018-09-01$10,162
2018-10-01$11,312
2018-11-01$10,853
2018-12-01$12,376
2019-01-01$10,309
2019-02-01$9,899
2019-03-01$10,031
2019-04-01$9,598
2019-05-01$11,161
2019-06-01$10,125
2019-07-01$10,222
2019-08-01$11,505
2019-09-01$10,501
2019-10-01$10,489
2019-11-01$9,890
2019-12-01$9,249
2020-01-01$9,997
2020-02-01$11,148
2020-03-01$14,420
2020-04-01$10,191
2020-05-01$9,247
2020-06-01$7,848
2020-07-01$7,860
2020-08-01$7,175
2020-09-01$7,719
2020-10-01$7,293
2020-11-01$5,059
2020-12-01$4,630
2021-01-01$4,321
2021-02-01$4,042
2021-03-01$3,758
2021-04-01$3,648
2021-05-01$3,557
2021-06-01$3,462
2021-07-01$3,547
2021-08-01$3,494
2021-09-01$3,559
2021-10-01$3,523
2021-11-01$3,782
2021-12-01$3,438
2022-01-01$3,490
2022-02-01$3,531
2022-03-01$3,389
2022-04-01$3,782
2022-05-01$3,831
2022-06-01$4,244
2022-07-01$3,807
2022-08-01$3,908
2022-09-01$4,500
2022-10-01$4,026
2022-11-01$3,730
2022-12-01$4,038
2023-01-01$3,332
2023-02-01$3,490
2023-03-01$3,673
2023-04-01$3,713
2023-05-01$3,904
2023-06-01$3,546
2023-07-01$3,199
2023-08-01$3,426
2023-09-01$3,721
2023-10-01$4,046
2023-11-01$3,636
2023-12-01$3,148
2024-01-01$3,295
2024-02-01$3,246
2024-03-01$3,125
2024-04-01$3,349
2024-05-01$3,268
2024-06-01$3,358
2024-07-01$3,130
2024-08-01$3,259
2024-09-01$3,195
2024-10-01$3,335
2024-11-01$3,143
2024-12-01$3,336
2025-01-01$3,284
2025-02-01$3,445
2025-03-01$3,568
2025-04-01$3,901
2025-05-01$3,735
2025-06-01$3,526
2025-07-01$3,388
2025-08-01$3,167
2025-09-01$3,260
2025-10-01$3,334
2025-11-01$3,288
2025-12-01$3,250
2026-01-01$3,139
2026-02-01$3,121
2026-03-01$3,308
2026-04-01$3,232
2026-05-01$3,202
2026-06-01$3,164
2026-07-01$2,926
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
79.7%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.47
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.67
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
30.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · +17.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -49.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
25%

Annual Returns

View full annual returns data
YearReturn
2019-25.3%
2020-49.9%
2021-25.7%
202217.5%
2023-22.0%
20246.0%
2025-2.6%
2026-10.0%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-3.4-0.66.0-2.3-0.9-1.2-7.5-10.0%
2025-1.64.93.69.3-4.3-5.6-3.9-6.52.92.3-1.4-1.2-2.6%
20244.7-1.5-3.77.2-2.42.7-6.84.1-2.04.4-5.86.16.0%
2023-17.54.75.21.15.1-9.2-9.87.18.68.7-10.1-13.4-22.0%
20221.51.2-4.011.61.310.8-10.32.715.1-10.5-7.48.317.5%
2021-6.7-6.5-7.0-2.9-2.5-2.72.5-1.51.9-1.07.4-9.1-25.7%
20208.111.529.3-29.3-9.3-15.10.2-8.77.6-5.5-30.6-8.5-49.9%
2019-16.7-4.01.3-4.316.3-9.31.012.6-8.7-0.1-5.7-6.5-25.3%
20180.51.111.3-4.114.023.8%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
20.5%
View full factor risk breakdown
FactorRisk Exposure
VTI.US19.2%
VEA.US-5.1%
VWO.US6.3%
QQQ.US-10.7%
VTV.US-8.7%
IJR.US46.1%
QUAL.US0.8%
SHV.US10.3%
TLT.US-2.4%
LQD.US8.8%
HYG.US5.8%
GLD.US-1.0%
USO.US-0.0%
VNQ.US15.9%
BTC-USD.CC-0.6%
CPER.US4.7%
VIX.INDX-2.7%
UUP.US1.0%
TIP.US-1.3%
Idiosyncratic13.8%

AdvisorShares Dorsey Wright Short ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Expense Ratio
2.84%
83rd pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
2nd pct
larger than 2% of 1,446 ETFs we track
Holdings Count49
Distribution Yield
6.5%
94th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E
Portfolio Price-to-Sales
Portfolio Price-to-Book

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-7.1%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-9.0%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
17.5% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
-1.02
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Death Cross
Bearish — 50 SMA below 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
41
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-10.6%
50.0% retracement-8.3%
61.8% retracement-5.8%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

DWSH.US — 10-Year Return & Risk Profile

AdvisorShares Dorsey Wright Short (DWSH.US) has delivered negative annualized growth of 14.2% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $2,152, representing a total return of 78%. Over this period, DWSH.US generated positive annual returns in 3 out of 10 calendar years (25%).

The best single calendar year for DWSH.US was 2022, with a return of +17.5%. The worst year was 2020, when the asset declined 49.9%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of -0.47 is considered poor on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

DWSH.US — Drawdown, Volatility & Downside Risk

DWSH.US's annualized volatility of 30.7% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in DWSH.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 79.7% — a catastrophic peak-to-trough decline. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 80% drawdown, for example, requires a 393% gain just to break even.

When evaluating DWSH.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

DWSH.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 46.1% of DWSH.US's return variance to US Small-Cap Equities. This means that when US Small-Cap Equities rises or falls sharply, DWSH.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their DWSH.US allocation.

The second-largest macro driver is US Equity (broad market), contributing 19.2% of variance. 13.8% of DWSH.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding DWSH.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding DWSH.US alongside assets with low correlation to US Small-Cap Equities — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is AdvisorShares Dorsey Wright Short a high-risk investment?

AdvisorShares Dorsey Wright Short (DWSH.US) has an annualized volatility of 20.5% and experienced a maximum drawdown of 79.7% over the last 10 years. Its primary macro risk driver is IJR.US.

What is the 10-year return of DWSH.US?

Over the past 10 years, DWSH.US has generated a Compound Annual Growth Rate (CAGR) of -14.2%. A $10,000 investment would have grown to approximately $2,152. It has had a positive return in 25% of calendar years.

What is DWSH.US's Sharpe ratio?

DWSH.US has a Sharpe ratio of -0.47 and a Sortino ratio of -0.67 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is DWSH.US's dividend yield?

DWSH.US has an average trailing dividend yield of 6.52%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is DWSH.US above its 200-day moving average?

DWSH.US is currently below its 200-day moving average by 9.0%. The current trend signal is: Bearish — 50 SMA below 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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