Betashares Aus Equities Strong Bear Complex ETF (BBOZ.AU)

10-Year Study

BBOZ.AU · AU · ETF

About Betashares Aus Equities Strong Bear Complex ETF (BBOZ.AU)

Unknown

The responsible entity intends to implement the investment strategy by investing the assets of the fund into cash and cash equivalents and selling equity index futures contracts (i.e. ASX SPI 200 futures).

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

Fundamental Snapshot

Betashares Aus Equities Strong Bear Complex ETF (BBOZ.AU) charges an annual expense ratio of 1.38%, manages approximately institutional assets in net assets, and maintains a portfolio of 1 holdings.

Executive Summary: Betashares Aus Equities Strong Bear Complex ETF has compounded at -21.0% annually over the last 10 years, with a maximum drawdown of 91.0% and an annualized volatility of 36.6%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-0.8%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-18.0%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-14.1%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-21.0%

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$10,440
2016-09-01$10,142
2016-10-01$10,686
2016-11-01$9,834
2016-12-01$8,864
2017-01-01$9,025
2017-02-01$8,557
2017-03-01$7,984
2017-04-01$7,809
2017-05-01$8,429
2017-06-01$8,381
2017-07-01$8,419
2017-08-01$8,348
2017-09-01$8,396
2017-10-01$7,601
2017-11-01$7,331
2017-12-01$7,061
2018-01-01$7,175
2018-02-01$7,137
2018-03-01$7,856
2018-04-01$7,203
2018-05-01$7,042
2018-06-01$6,498
2018-07-01$6,313
2018-08-01$6,119
2018-09-01$6,351
2018-10-01$7,336
2018-11-01$7,714
2018-12-01$7,676
2019-01-01$6,962
2019-02-01$6,067
2019-03-01$5,958
2019-04-01$5,651
2019-05-01$5,424
2019-06-01$4,988
2019-07-01$4,633
2019-08-01$4,860
2019-09-01$4,628
2019-10-01$4,676
2019-11-01$4,340
2019-12-01$4,591
2020-01-01$4,061
2020-02-01$4,846
2020-03-01$6,578
2020-04-01$5,248
2020-05-01$4,543
2020-06-01$4,165
2020-07-01$4,065
2020-08-01$3,810
2020-09-01$4,165
2020-10-01$3,919
2020-11-01$3,053
2020-12-01$2,967
2021-01-01$2,911
2021-02-01$2,821
2021-03-01$2,669
2021-04-01$2,437
2021-05-01$2,310
2021-06-01$2,172
2021-07-01$2,120
2021-08-01$1,997
2021-09-01$2,092
2021-10-01$2,106
2021-11-01$2,115
2021-12-01$1,978
2022-01-01$2,239
2022-02-01$2,115
2022-03-01$1,789
2022-04-01$1,832
2022-05-01$1,921
2022-06-01$2,338
2022-07-01$2,032
2022-08-01$1,983
2022-09-01$2,284
2022-10-01$1,993
2022-11-01$1,701
2022-12-01$1,832
2023-01-01$1,580
2023-02-01$1,687
2023-03-01$1,687
2023-04-01$1,628
2023-05-01$1,740
2023-06-01$1,691
2023-07-01$1,589
2023-08-01$1,633
2023-09-01$1,764
2023-10-01$1,939
2023-11-01$1,755
2023-12-01$1,478
2024-01-01$1,453
2024-02-01$1,444
2024-03-01$1,346
2024-04-01$1,463
2024-05-01$1,447
2024-06-01$1,429
2024-07-01$1,309
2024-08-01$1,312
2024-09-01$1,236
2024-10-01$1,288
2024-11-01$1,189
2024-12-01$1,301
2025-01-01$1,181
2025-02-01$1,312
2025-03-01$1,425
2025-04-01$1,279
2025-05-01$1,167
2025-06-01$1,133
2025-07-01$1,084
2025-08-01$1,012
2025-09-01$1,041
2025-10-01$1,040
2025-11-01$1,109
2025-12-01$1,089
2026-01-01$1,052
2026-02-01$963
2026-03-01$1,142
2026-04-01$1,086
2026-05-01$1,076
2026-06-01$1,040
2026-07-01$1,005
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
91.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.72
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.35
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
29.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · +8.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · -40.2%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
10%

Annual Returns

View full annual returns data
YearReturn
2017-20.3%
20188.7%
2019-40.2%
2020-35.4%
2021-33.3%
2022-7.4%
2023-19.4%
2024-12.0%
2025-16.3%
2026-7.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-3.4-8.518.6-4.9-1.0-3.3-3.4-7.7%
2025-9.211.18.6-10.3-8.8-2.9-4.3-6.62.9-0.16.7-1.8-16.3%
2024-1.6-0.7-6.78.7-1.1-1.2-8.40.2-5.84.2-7.79.4-12.0%
2023-13.86.80.0-3.56.9-2.8-6.02.88.09.9-9.5-15.8-19.4%
202213.2-5.5-15.42.44.921.7-13.1-2.415.2-12.8-14.67.7-7.4%
2021-1.9-3.1-5.4-8.7-5.2-5.9-2.4-5.84.70.70.4-6.5-33.3%
2020-11.519.335.7-20.2-13.4-8.3-2.4-6.39.3-5.9-22.1-2.8-35.4%
2019-9.3-12.8-1.8-5.2-4.0-8.0-7.14.9-4.81.0-7.25.8-40.2%
20181.6-0.510.1-8.3-2.2-7.7-2.8-3.13.815.55.2-0.58.7%
20171.8-5.2-6.7-2.27.9-0.60.5-0.80.6-9.5-3.5-3.7-20.3%
20164.4-2.95.4-8.0-9.9-11.4%

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
36.6%
View full factor risk breakdown
FactorRisk Exposure
VTI.US21.3%
VEA.US37.1%
VWO.US-5.2%
QQQ.US-13.1%
VTV.US-9.7%
IJR.US10.4%
QUAL.US6.0%
SHV.US33.2%
TLT.US2.0%
LQD.US4.4%
HYG.US-3.0%
GLD.US2.9%
USO.US-0.4%
VNQ.US-1.6%
BTC-USD.CC2.8%
CPER.US-0.6%
VIX.INDX0.6%
UUP.US-0.6%
TIP.US-0.8%
Idiosyncratic14.3%

Betashares Aus Equities Strong Bear Complex ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
1.38%
82nd pct of 1250 ETFs · median 0.50%
Holdings Count1
Distribution Yield
0.0%

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 →
-3.9%
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 →
-5.4%
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 →
14.3% 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 →
39
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-7.9%
50.0% retracement-5.8%
61.8% retracement-3.5%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BBOZ.AU — 10-Year Return & Risk Profile

Betashares Aus Equities Strong Bear Complex ETF (BBOZ.AU) has delivered negative annualized growth of 21.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $952, representing a total return of 90%. Over this period, BBOZ.AU generated positive annual returns in 1 out of 10 calendar years (10%).

The best single calendar year for BBOZ.AU was 2018, with a return of +8.7%. The worst year was 2019, when the asset declined 40.2%. 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 -0.72 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.

BBOZ.AU — Drawdown, Volatility & Downside Risk

BBOZ.AU's annualized volatility of 29.7% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BBOZ.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 91.0% — 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 91% drawdown, for example, requires a 1010% gain just to break even.

When evaluating BBOZ.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.

BBOZ.AU — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 37.1% of BBOZ.AU's return variance to Developed Market Equities (ex-US). This means that when Developed Market Equities (ex-US) rises or falls sharply, BBOZ.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 BBOZ.AU allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 33.2% of variance. 14.3% of BBOZ.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 BBOZ.AU's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BBOZ.AU alongside assets with low correlation to Developed Market Equities (ex-US) — 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 Aus Equities Strong Bear Complex ETF a high-risk investment?

Betashares Aus Equities Strong Bear Complex ETF (BBOZ.AU) has an annualized volatility of 36.6% and experienced a maximum drawdown of 91.0% over the last 10 years. Its primary macro risk driver is VEA.US.

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

Over the past 10 years, BBOZ.AU has generated a Compound Annual Growth Rate (CAGR) of -21.0%. A $10,000 investment would have grown to approximately $952. It has had a positive return in 10% of calendar years.

What is BBOZ.AU's Sharpe ratio?

BBOZ.AU has a Sharpe ratio of -0.72 and a Sortino ratio of -1.35 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 BBOZ.AU's dividend yield?

BBOZ.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 BBOZ.AU above its 200-day moving average?

BBOZ.AU is currently below its 200-day moving average by 5.4%. 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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