Lyxor UCITS Stoxx 50 Daily Double Short (BXX.PA)

10-Year Study

BXX.PA · FR · ETF

About Lyxor UCITS Stoxx 50 Daily Double Short (BXX.PA)

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

Fundamental Snapshot

Lyxor UCITS Stoxx 50 Daily Double Short (BXX.PA) charges an annual expense ratio of low annual fee, manages approximately $23.5M in net assets, and maintains a portfolio of 1 holdings.

Executive Summary: Lyxor UCITS Stoxx 50 Daily Double Short has compounded at -25.3% annually over the last 10 years, with a maximum drawdown of 94.5% and an annualized volatility of 51.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-35.9%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-28.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-24.3%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-25.3%

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
2016-07-01$10,000
2016-08-01$9,687
2016-09-01$9,708
2016-10-01$9,300
2016-11-01$9,252
2016-12-01$7,913
2017-01-01$8,117
2017-02-01$7,641
2017-03-01$6,818
2017-04-01$6,492
2017-05-01$6,275
2017-06-01$6,635
2017-07-01$6,560
2017-08-01$6,621
2017-09-01$5,969
2017-10-01$5,656
2017-11-01$5,976
2017-12-01$6,166
2018-01-01$5,774
2018-02-01$6,283
2018-03-01$6,508
2018-04-01$5,759
2018-05-01$5,993
2018-06-01$5,954
2018-07-01$5,482
2018-08-01$5,885
2018-09-01$5,818
2018-10-01$6,511
2018-11-01$6,576
2018-12-01$7,156
2019-01-01$6,446
2019-02-01$5,874
2019-03-01$5,631
2019-04-01$5,052
2019-05-01$5,552
2019-06-01$4,919
2019-07-01$4,900
2019-08-01$4,939
2019-09-01$4,523
2019-10-01$4,379
2019-11-01$4,131
2019-12-01$4,031
2020-01-01$4,198
2020-02-01$4,923
2020-03-01$6,079
2020-04-01$5,292
2020-05-01$4,674
2020-06-01$4,011
2020-07-01$4,075
2020-08-01$3,793
2020-09-01$3,914
2020-10-01$4,502
2020-11-01$3,160
2020-12-01$3,027
2021-01-01$3,116
2021-02-01$2,839
2021-03-01$2,420
2021-04-01$2,318
2021-05-01$2,187
2021-06-01$2,145
2021-07-01$2,092
2021-08-01$1,984
2021-09-01$2,105
2021-10-01$1,890
2021-11-01$2,046
2021-12-01$1,801
2022-01-01$1,881
2022-02-01$2,094
2022-03-01$2,005
2022-04-01$2,069
2022-05-01$1,985
2022-06-01$2,339
2022-07-01$2,000
2022-08-01$2,207
2022-09-01$2,442
2022-10-01$2,035
2022-11-01$1,682
2022-12-01$1,835
2023-01-01$1,511
2023-02-01$1,456
2023-03-01$1,386
2023-04-01$1,350
2023-05-01$1,406
2023-06-01$1,293
2023-07-01$1,249
2023-08-01$1,358
2023-09-01$1,441
2023-10-01$1,530
2023-11-01$1,317
2023-12-01$1,249
2024-01-01$1,185
2024-02-01$1,077
2024-03-01$998
2024-04-01$1,053
2024-05-01$1,014
2024-06-01$1,051
2024-07-01$1,060
2024-08-01$1,025
2024-09-01$1,008
2024-10-01$1,086
2024-11-01$1,092
2024-12-01$1,057
2025-01-01$910
2025-02-01$852
2025-03-01$917
2025-04-01$915
2025-05-01$824
2025-06-01$843
2025-07-01$835
2025-08-01$827
2025-09-01$775
2025-10-01$739
2025-11-01$734
2025-12-01$708
2026-01-01$672
2026-02-01$628
2026-03-01$758
2026-04-01$662
2026-05-01$609
2026-06-01$556
2026-07-01$551
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
94.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.88
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.44
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 · +16.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · -43.7%
% 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
2017-22.1%
201816.1%
2019-43.7%
2020-24.9%
2021-40.5%
20221.9%
2023-31.9%
2024-15.4%
2025-33.1%
2026-22.2%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-5.0-6.620.8-12.7-8.1-8.6-1.1-22.2%
2025-13.9-6.47.7-0.3-9.92.3-0.9-1.0-6.2-4.6-0.6-3.7-33.1%
2024-5.1-9.2-7.35.5-3.73.60.9-3.3-1.77.80.6-3.2-15.4%
2023-17.7-3.6-4.8-2.64.2-8.0-3.48.76.16.2-13.9-5.1-31.9%
20224.411.3-4.33.2-4.017.8-14.510.410.6-16.7-17.49.21.9%
20212.9-8.9-14.8-4.2-5.7-1.9-2.5-5.26.1-10.28.3-12.0-40.5%
20204.117.323.5-12.9-11.7-14.21.6-6.93.215.0-29.8-4.2-24.9%
2019-9.9-8.9-4.1-10.39.9-11.4-0.40.8-8.4-3.2-5.7-2.4-43.7%
2018-6.48.83.6-11.54.0-0.6-7.97.4-1.111.91.08.816.1%
20172.6-5.9-10.8-4.8-3.45.7-1.10.9-9.9-5.25.63.2-22.1%
2016-3.10.2-4.2-0.5-14.5-20.9%

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
51.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-0.7%
VEA.US33.9%
VWO.US-1.8%
QQQ.US-4.8%
VTV.US-4.3%
IJR.US1.3%
QUAL.US12.6%
SHV.US62.5%
TLT.US-0.2%
LQD.US0.2%
HYG.US1.1%
GLD.US-0.5%
USO.US0.4%
VNQ.US-2.9%
BTC-USD.CC0.0%
CPER.US1.6%
VIX.INDX-0.3%
UUP.US-0.8%
TIP.US-0.0%
Idiosyncratic2.7%

Lyxor UCITS Stoxx 50 Daily Double Short ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Fund Size vs Peers
5th pct
larger than 5% 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 →
-4.3%
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 →
-17.1%
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 →
35.4% 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 →
43
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-24.9%
50.0% retracement-20.9%
61.8% retracement-16.5%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BXX.PA — 10-Year Return & Risk Profile

Lyxor UCITS Stoxx 50 Daily Double Short (BXX.PA) has delivered negative annualized growth of 25.3% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $539, representing a total return of 95%. Over this period, BXX.PA generated positive annual returns in 2 out of 10 calendar years (20%).

The best single calendar year for BXX.PA was 2018, with a return of +16.1%. The worst year was 2019, when the asset declined 43.7%. 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 -0.88 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.

BXX.PA — Drawdown, Volatility & Downside Risk

BXX.PA'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 BXX.PA 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 94.5% — 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 94% drawdown, for example, requires a 1716% gain just to break even.

When evaluating BXX.PA 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.

BXX.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 62.5% of BXX.PA's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, BXX.PA 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 BXX.PA allocation.

The second-largest macro driver is Developed Market Equities (ex-US), contributing 33.9% of variance. 2.7% of BXX.PA'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 BXX.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BXX.PA alongside assets with low correlation to Short-Term Interest Rates — 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 Lyxor UCITS Stoxx 50 Daily Double Short a high-risk investment?

Lyxor UCITS Stoxx 50 Daily Double Short (BXX.PA) has an annualized volatility of 51.3% and experienced a maximum drawdown of 94.5% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of BXX.PA?

Over the past 10 years, BXX.PA has generated a Compound Annual Growth Rate (CAGR) of -25.3%. A $10,000 investment would have grown to approximately $539. It has had a positive return in 20% of calendar years.

What is BXX.PA's Sharpe ratio?

BXX.PA has a Sharpe ratio of -0.88 and a Sortino ratio of -1.44 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 BXX.PA's dividend yield?

BXX.PA 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 BXX.PA above its 200-day moving average?

BXX.PA is currently below its 200-day moving average by 17.1%. 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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