AdvisorShares Focused Equity ETF (CWS.US)

10-Year Study

CWS.US · US · ETF

Fundamental Snapshot

AdvisorShares Focused Equity ETF (CWS.US) charges an annual expense ratio of low annual fee, manages approximately institutional assets in net assets, and maintains a portfolio of diversified basket of holdings.

Executive Summary: AdvisorShares Focused Equity ETF has compounded at 11.3% annually over the last 10 years, with a maximum drawdown of 23.0% and an annualized volatility of 12.6%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-0.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.2%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+7.5%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+11.3%

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
2016-09-01$10,000
2016-10-01$9,819
2016-11-01$10,320
2016-12-01$10,316
2017-01-01$10,713
2017-02-01$10,926
2017-03-01$11,034
2017-04-01$11,230
2017-05-01$11,218
2017-06-01$11,356
2017-07-01$11,375
2017-08-01$11,153
2017-09-01$11,463
2017-10-01$11,797
2017-11-01$12,345
2017-12-01$12,474
2018-01-01$12,898
2018-02-01$12,639
2018-03-01$12,197
2018-04-01$12,213
2018-05-01$12,314
2018-06-01$12,746
2018-07-01$13,009
2018-08-01$13,511
2018-09-01$13,487
2018-10-01$12,512
2018-11-01$13,431
2018-12-01$11,733
2019-01-01$12,643
2019-02-01$13,328
2019-03-01$13,237
2019-04-01$13,728
2019-05-01$13,497
2019-06-01$14,029
2019-07-01$14,360
2019-08-01$14,321
2019-09-01$14,400
2019-10-01$14,601
2019-11-01$15,104
2019-12-01$15,366
2020-01-01$15,439
2020-02-01$13,952
2020-03-01$12,554
2020-04-01$13,932
2020-05-01$14,641
2020-06-01$14,323
2020-07-01$15,683
2020-08-01$16,309
2020-09-01$16,015
2020-10-01$15,701
2020-11-01$17,055
2020-12-01$17,997
2021-01-01$17,442
2021-02-01$17,575
2021-03-01$18,397
2021-04-01$19,407
2021-05-01$19,155
2021-06-01$19,223
2021-07-01$19,801
2021-08-01$20,156
2021-09-01$19,145
2021-10-01$20,324
2021-11-01$20,393
2021-12-01$21,992
2022-01-01$20,220
2022-02-01$19,522
2022-03-01$19,897
2022-04-01$18,618
2022-05-01$18,436
2022-06-01$17,343
2022-07-01$19,086
2022-08-01$18,314
2022-09-01$16,941
2022-10-01$18,667
2022-11-01$20,238
2022-12-01$19,700
2023-01-01$21,105
2023-02-01$20,682
2023-03-01$21,068
2023-04-01$21,075
2023-05-01$20,305
2023-06-01$22,351
2023-07-01$22,956
2023-08-01$22,871
2023-09-01$21,614
2023-10-01$20,491
2023-11-01$22,926
2023-12-01$24,637
2024-01-01$24,990
2024-02-01$25,551
2024-03-01$26,452
2024-04-01$25,189
2024-05-01$25,971
2024-06-01$25,820
2024-07-01$27,463
2024-08-01$28,065
2024-09-01$28,539
2024-10-01$28,123
2024-11-01$29,720
2024-12-01$27,055
2025-01-01$28,304
2025-02-01$28,015
2025-03-01$27,348
2025-04-01$27,144
2025-05-01$28,583
2025-06-01$29,241
2025-07-01$28,619
2025-08-01$28,822
2025-09-01$28,668
2025-10-01$28,087
2025-11-01$28,894
2025-12-01$28,796
2026-01-01$28,767
2026-02-01$29,244
2026-03-01$27,291
2026-07-01$28,751
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
23.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.53
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.80
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
16.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +31.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -10.4%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

View full annual returns data
YearReturn
201720.9%
2018-5.9%
201931.0%
202017.1%
202122.2%
2022-10.4%
202325.1%
20249.8%
20256.4%
2026-0.2%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-0.11.7-6.75.4-0.2%
20254.6-1.0-2.4-0.75.32.3-2.10.7-0.5-2.02.9-0.36.4%
20241.42.23.5-4.83.1-0.66.42.21.7-1.55.7-9.09.8%
20237.1-2.01.90.0-3.710.12.7-0.4-5.5-5.211.97.525.1%
2022-8.1-3.51.9-6.4-1.0-5.910.0-4.0-7.510.28.4-2.7-10.4%
2021-3.10.84.75.5-1.30.43.01.8-5.06.20.37.822.2%
20200.5-9.6-10.011.05.1-2.29.54.0-1.8-2.08.65.517.1%
20197.85.4-0.73.7-1.73.92.4-0.30.61.43.41.731.0%
20183.4-2.0-3.50.10.83.52.13.9-0.2-7.27.3-12.6-5.9%
20173.82.01.01.8-0.11.20.2-1.92.82.94.61.020.9%
2016-1.85.1-0.03.2%

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
12.6%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-15.2%
VEA.US-9.0%
VWO.US-2.5%
QQQ.US4.6%
VTV.US18.3%
IJR.US13.7%
QUAL.US35.3%
SHV.US3.8%
TLT.US-7.9%
LQD.US23.6%
HYG.US1.6%
GLD.US0.7%
USO.US0.9%
VNQ.US11.1%
BTC-USD.CC1.7%
CPER.US-0.7%
VIX.INDX1.8%
UUP.US7.6%
TIP.US-2.8%
Idiosyncratic13.4%

AdvisorShares Focused Equity ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Distribution Yield
0.3%

Portfolio Valuation Multiples

Portfolio P/E Ratio19.42x
Portfolio Forward P/E19.42x
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 →
+1.4%
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 →
+0.1%
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 →
4.6% 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 →
0.86
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 →
70
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+1.1%
50.0% retracement+3.0%
61.8% retracement+5.0%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

CWS.US — 10-Year Return & Risk Profile

AdvisorShares Focused Equity ETF (CWS.US) has delivered solid annualized growth of 11.3% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $29,285, representing a total return of 193%. Over this period, CWS.US generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for CWS.US was 2019, with a return of +31.0%. The worst year was 2022, when the asset declined 10.4%. 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 0.53 is considered acceptable 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.

CWS.US — Drawdown, Volatility & Downside Risk

CWS.US's annualized volatility of 16.3% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in CWS.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 23.0% — a significant bear-market drawdown. 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 23% drawdown, for example, requires a 30% gain just to break even.

When evaluating CWS.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.

CWS.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 35.3% of CWS.US's return variance to US Quality Factor. This means that when US Quality Factor rises or falls sharply, CWS.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 CWS.US allocation.

The second-largest macro driver is Investment-Grade Corporate Credit, contributing 23.6% of variance. 13.4% of CWS.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 CWS.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding CWS.US alongside assets with low correlation to US Quality Factor — 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 Focused Equity ETF a high-risk investment?

AdvisorShares Focused Equity ETF (CWS.US) has an annualized volatility of 12.6% and experienced a maximum drawdown of 23.0% over the last 10 years. Its primary macro risk driver is QUAL.US.

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

Over the past 10 years, CWS.US has generated a Compound Annual Growth Rate (CAGR) of 11.3%. A $10,000 investment would have grown to approximately $29,285. It has had a positive return in 70% of calendar years.

What is CWS.US's Sharpe ratio?

CWS.US has a Sharpe ratio of 0.53 and a Sortino ratio of 0.80 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 CWS.US's dividend yield?

CWS.US has an average trailing dividend yield of 0.31%. 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 CWS.US above its 200-day moving average?

CWS.US is currently above its 200-day moving average by 0.1%. 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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