Betashares US EQY Strong Bear CCY H Complex ETF (BBUS.AU)

10-Year Study

BBUS.AU · AU · ETF

About Betashares US EQY Strong Bear CCY H Complex ETF (BBUS.AU)

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BetaShares U.S. Equities Strong Bear Hedge Fund - Currency Hedged is an equity mutual fund launched and managed by BetaShares Capital Limited....

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

Fundamental Snapshot

Betashares US EQY Strong Bear CCY H Complex ETF (BBUS.AU) charges an annual expense ratio of 0.00%, manages approximately $120.7M in net assets, and maintains a portfolio of 1 holdings.

Executive Summary: Betashares US EQY Strong Bear CCY H Complex ETF has compounded at -30.9% annually over the last 10 years, with a maximum drawdown of 97.5% and an annualized volatility of 35.9%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-27.1%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-36.7%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-24.4%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-30.9%

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
2016-07-01$10,000
2016-08-01$9,856
2016-09-01$10,154
2016-10-01$10,308
2016-11-01$9,282
2016-12-01$8,769
2017-01-01$8,585
2017-02-01$7,723
2017-03-01$7,692
2017-04-01$7,508
2017-05-01$7,313
2017-06-01$7,221
2017-07-01$6,892
2017-08-01$6,954
2017-09-01$6,595
2017-10-01$6,195
2017-11-01$5,856
2017-12-01$5,559
2018-01-01$4,872
2018-02-01$5,087
2018-03-01$5,754
2018-04-01$5,395
2018-05-01$5,190
2018-06-01$5,159
2018-07-01$4,821
2018-08-01$4,421
2018-09-01$4,369
2018-10-01$5,231
2018-11-01$4,974
2018-12-01$5,949
2019-01-01$4,995
2019-02-01$4,523
2019-03-01$4,400
2019-04-01$3,990
2019-05-01$4,544
2019-06-01$3,959
2019-07-01$3,692
2019-08-01$3,928
2019-09-01$3,785
2019-10-01$3,569
2019-11-01$3,292
2019-12-01$3,108
2020-01-01$2,933
2020-02-01$3,795
2020-03-01$4,462
2020-04-01$3,190
2020-05-01$2,964
2020-06-01$2,831
2020-07-01$2,390
2020-08-01$1,964
2020-09-01$2,215
2020-10-01$2,226
2020-11-01$1,754
2020-12-01$1,615
2021-01-01$1,590
2021-02-01$1,513
2021-03-01$1,379
2021-04-01$1,190
2021-05-01$1,174
2021-06-01$1,113
2021-07-01$1,056
2021-08-01$959
2021-09-01$1,036
2021-10-01$944
2021-11-01$897
2021-12-01$843
2022-01-01$988
2022-02-01$1,046
2022-03-01$851
2022-04-01$1,007
2022-05-01$1,067
2022-06-01$1,314
2022-07-01$1,070
2022-08-01$1,101
2022-09-01$1,359
2022-10-01$1,166
2022-11-01$1,130
2022-12-01$1,217
2023-01-01$1,093
2023-02-01$1,124
2023-03-01$1,081
2023-04-01$1,043
2023-05-01$1,012
2023-06-01$906
2023-07-01$832
2023-08-01$870
2023-09-01$978
2023-10-01$1,070
2023-11-01$865
2023-12-01$771
2024-01-01$737
2024-02-01$684
2024-03-01$634
2024-04-01$676
2024-05-01$639
2024-06-01$575
2024-07-01$584
2024-08-01$542
2024-09-01$521
2024-10-01$509
2024-11-01$471
2024-12-01$501
2025-01-01$471
2025-02-01$513
2025-03-01$584
2025-04-01$516
2025-05-01$442
2025-06-01$394
2025-07-01$365
2025-08-01$358
2025-09-01$340
2025-10-01$316
2025-11-01$319
2025-12-01$315
2026-01-01$312
2026-02-01$319
2026-03-01$377
2026-04-01$295
2026-05-01$254
2026-06-01$267
2026-07-01$268
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
97.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.87
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.59
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
35.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · +44.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · -48.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
20%

Annual Returns

View full annual returns data
YearReturn
2017-36.6%
20187.0%
2019-47.8%
2020-48.0%
2021-47.8%
202244.3%
2023-36.6%
2024-35.0%
2025-37.3%
2026-14.9%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-0.72.218.0-21.7-13.94.90.3-14.9%
2025-6.18.813.8-11.6-14.4-10.9-7.1-2.2-5.0-7.01.1-1.5-37.3%
2024-4.5-7.2-7.26.6-5.5-10.01.6-7.1-3.9-2.2-7.56.4-35.0%
2023-10.22.9-3.9-3.4-3.0-10.4-8.24.612.49.4-19.2-10.8-36.6%
202217.25.9-18.618.35.923.2-18.52.823.5-14.2-3.17.744.3%
2021-1.6-4.8-8.8-13.8-1.3-5.2-5.1-9.28.0-8.9-4.9-6.1-47.8%
2020-5.629.417.6-28.5-7.1-4.5-15.6-17.812.80.5-21.2-7.9-48.0%
2019-16.0-9.4-2.7-9.313.9-12.9-6.76.4-3.7-5.7-7.8-5.6-47.8%
2018-12.44.413.1-6.2-3.8-0.6-6.6-8.3-1.219.7-4.919.67.0%
2017-2.1-10.0-0.4-2.4-2.6-1.3-4.50.9-5.2-6.1-5.5-5.1-36.6%
2016-1.43.01.5-10.0-5.5-12.3%

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
35.9%
View full factor risk breakdown
FactorRisk Exposure
VTI.US109.8%
VEA.US1.5%
VWO.US-2.5%
QQQ.US-11.7%
VTV.US-11.4%
IJR.US-4.0%
QUAL.US0.6%
SHV.US7.9%
TLT.US1.4%
LQD.US0.3%
HYG.US-4.6%
GLD.US0.5%
USO.US-0.2%
VNQ.US0.3%
BTC-USD.CC0.6%
CPER.US2.0%
VIX.INDX-3.0%
UUP.US1.9%
TIP.US-0.1%
Idiosyncratic10.6%

Betashares US EQY Strong Bear CCY H Complex ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.00%
2nd pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
17th pct
larger than 17% of 1,446 ETFs we track
Holdings Count1
Distribution Yield
0.0%
10th 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 →
+1.2%
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 →
-12.1%
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 →
29.6% 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 →
0.00
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 →
55
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-19.1%
50.0% retracement-15.3%
61.8% retracement-11.0%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BBUS.AU — 10-Year Return & Risk Profile

Betashares US EQY Strong Bear CCY H Complex ETF (BBUS.AU) has delivered negative annualized growth of 30.9% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $247, representing a total return of 98%. Over this period, BBUS.AU generated positive annual returns in 2 out of 10 calendar years (20%).

The best single calendar year for BBUS.AU was 2022, with a return of +44.3%. The worst year was 2020, when the asset declined 48.0%. 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 -0.87 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.

BBUS.AU — Drawdown, Volatility & Downside Risk

BBUS.AU's annualized volatility of 35.0% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BBUS.AU 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 97.5% — 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 98% drawdown, for example, requires a 3951% gain just to break even.

When evaluating BBUS.AU 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.

BBUS.AU — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 109.8% of BBUS.AU's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, BBUS.AU 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 BBUS.AU allocation.

The second-largest macro driver is US Growth / Technology, contributing 11.7% of variance. 10.6% of BBUS.AU'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 BBUS.AU's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BBUS.AU alongside assets with low correlation to US Equity (broad market) — 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 Betashares US EQY Strong Bear CCY H Complex ETF a high-risk investment?

Betashares US EQY Strong Bear CCY H Complex ETF (BBUS.AU) has an annualized volatility of 35.9% and experienced a maximum drawdown of 97.5% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of BBUS.AU?

Over the past 10 years, BBUS.AU has generated a Compound Annual Growth Rate (CAGR) of -30.9%. A $10,000 investment would have grown to approximately $247. It has had a positive return in 20% of calendar years.

What is BBUS.AU's Sharpe ratio?

BBUS.AU has a Sharpe ratio of -0.87 and a Sortino ratio of -1.59 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 BBUS.AU's dividend yield?

BBUS.AU does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

Is BBUS.AU above its 200-day moving average?

BBUS.AU is currently below its 200-day moving average by 12.1%. 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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