Lyxor UCITS Stoxx 50 Daily Short (BSX.PA)

10-Year Study

BSX.PA · FR · ETF

About Lyxor UCITS Stoxx 50 Daily Short (BSX.PA)

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

Fundamental Snapshot

Lyxor UCITS Stoxx 50 Daily Short (BSX.PA) charges an annual expense ratio of 40.00%, manages approximately $43.2M in net assets, and maintains a portfolio of 1 holdings.

Executive Summary: Lyxor UCITS Stoxx 50 Daily Short has compounded at -11.9% annually over the last 10 years, with a maximum drawdown of 71.7% and an annualized volatility of 25.6%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-18.1%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-13.5%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-10.8%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-11.9%

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$9,852
2016-09-01$9,863
2016-10-01$9,661
2016-11-01$9,640
2016-12-01$8,912
2017-01-01$9,037
2017-02-01$8,767
2017-03-01$8,273
2017-04-01$8,082
2017-05-01$7,954
2017-06-01$8,170
2017-07-01$8,130
2017-08-01$8,168
2017-09-01$7,756
2017-10-01$7,589
2017-11-01$7,761
2017-12-01$7,887
2018-01-01$7,632
2018-02-01$7,967
2018-03-01$8,113
2018-04-01$7,637
2018-05-01$7,789
2018-06-01$7,772
2018-07-01$7,459
2018-08-01$7,730
2018-09-01$7,689
2018-10-01$8,139
2018-11-01$8,180
2018-12-01$8,541
2019-01-01$8,113
2019-02-01$7,750
2019-03-01$7,589
2019-04-01$7,189
2019-05-01$7,545
2019-06-01$7,103
2019-07-01$7,086
2019-08-01$7,126
2019-09-01$6,824
2019-10-01$6,717
2019-11-01$6,526
2019-12-01$6,432
2020-01-01$6,587
2020-02-01$7,142
2020-03-01$8,108
2020-04-01$7,619
2020-05-01$7,179
2020-06-01$6,682
2020-07-01$6,744
2020-08-01$6,512
2020-09-01$6,624
2020-10-01$7,113
2020-11-01$5,984
2020-12-01$5,830
2021-01-01$5,950
2021-02-01$5,679
2021-03-01$5,245
2021-04-01$5,135
2021-05-01$4,986
2021-06-01$4,942
2021-07-01$4,887
2021-08-01$4,759
2021-09-01$4,913
2021-10-01$4,650
2021-11-01$4,843
2021-12-01$4,554
2022-01-01$4,660
2022-02-01$4,933
2022-03-01$4,861
2022-04-01$4,941
2022-05-01$4,851
2022-06-01$5,284
2022-07-01$4,890
2022-08-01$5,151
2022-09-01$5,420
2022-10-01$4,958
2022-11-01$4,515
2022-12-01$4,710
2023-01-01$4,296
2023-02-01$4,216
2023-03-01$4,129
2023-04-01$4,094
2023-05-01$4,179
2023-06-01$4,013
2023-07-01$3,953
2023-08-01$4,124
2023-09-01$4,273
2023-10-01$4,411
2023-11-01$4,098
2023-12-01$4,003
2024-01-01$3,902
2024-02-01$3,726
2024-03-01$3,595
2024-04-01$3,701
2024-05-01$3,640
2024-06-01$3,716
2024-07-01$3,740
2024-08-01$3,687
2024-09-01$3,665
2024-10-01$3,813
2024-11-01$3,833
2024-12-01$3,775
2025-01-01$3,513
2025-02-01$3,408
2025-03-01$3,539
2025-04-01$3,557
2025-05-01$3,379
2025-06-01$3,422
2025-07-01$3,415
2025-08-01$3,402
2025-09-01$3,300
2025-10-01$3,227
2025-11-01$3,224
2025-12-01$3,165
2026-01-01$3,091
2026-02-01$2,991
2026-03-01$3,297
2026-04-01$3,091
2026-05-01$2,972
2026-06-01$2,846
2026-07-01$2,834
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
71.7%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-1.01
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.61
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
15.2%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · +8.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · -24.7%
% 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
2017-11.5%
20188.3%
2019-24.7%
2020-9.4%
2021-21.9%
20223.4%
2023-15.0%
2024-5.7%
2025-16.2%
2026-10.5%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-2.4-3.210.3-6.2-3.9-4.2-0.4-10.5%
2025-7.0-3.03.80.5-5.01.3-0.2-0.4-3.0-2.2-0.1-1.8-16.2%
2024-2.5-4.5-3.53.0-1.62.10.7-1.4-0.64.10.5-1.5-5.7%
2023-8.8-1.9-2.1-0.82.1-4.0-1.54.33.63.2-7.1-2.3-15.0%
20222.35.9-1.51.7-1.88.9-7.55.35.2-8.5-8.94.33.4%
20212.1-4.6-7.6-2.1-2.9-0.9-1.1-2.63.2-5.34.1-6.0-21.9%
20202.48.413.5-6.0-5.8-6.90.9-3.41.77.4-15.9-2.6-9.4%
2019-5.0-4.5-2.1-5.35.0-5.9-0.20.6-4.2-1.6-2.8-1.4-24.7%
2018-3.24.41.8-5.92.0-0.2-4.03.6-0.55.90.54.48.3%
20171.4-3.0-5.6-2.3-1.62.7-0.50.5-5.0-2.22.31.6-11.5%
2016-1.50.1-2.0-0.2-7.5-10.9%

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
25.6%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-0.7%
VEA.US34.0%
VWO.US-1.6%
QQQ.US-4.9%
VTV.US-4.1%
IJR.US1.2%
QUAL.US13.0%
SHV.US62.0%
TLT.US-0.2%
LQD.US0.2%
HYG.US1.0%
GLD.US-0.5%
USO.US0.4%
VNQ.US-3.0%
BTC-USD.CC0.0%
CPER.US1.6%
VIX.INDX-0.4%
UUP.US-0.8%
TIP.US-0.1%
Idiosyncratic2.8%

Lyxor UCITS Stoxx 50 Daily Short ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
40.00%
98th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
8th pct
larger than 8% 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 →
-2.1%
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 →
-8.0%
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 →
17.9% 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 →
42
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-11.6%
50.0% retracement-9.5%
61.8% retracement-7.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BSX.PA — 10-Year Return & Risk Profile

Lyxor UCITS Stoxx 50 Daily Short (BSX.PA) has delivered negative annualized growth of 11.9% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $2,811, representing a total return of 72%. Over this period, BSX.PA generated positive annual returns in 2 out of 10 calendar years (20%).

The best single calendar year for BSX.PA was 2018, with a return of +8.3%. The worst year was 2019, when the asset declined 24.7%. 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 -1.01 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.

BSX.PA — Drawdown, Volatility & Downside Risk

BSX.PA's annualized volatility of 15.2% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BSX.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 71.7% — 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 72% drawdown, for example, requires a 253% gain just to break even.

When evaluating BSX.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.

BSX.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 62.0% of BSX.PA's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, BSX.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 BSX.PA allocation.

The second-largest macro driver is Developed Market Equities (ex-US), contributing 34.0% of variance. 2.8% of BSX.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 BSX.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BSX.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 Short a high-risk investment?

Lyxor UCITS Stoxx 50 Daily Short (BSX.PA) has an annualized volatility of 25.6% and experienced a maximum drawdown of 71.7% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, BSX.PA has generated a Compound Annual Growth Rate (CAGR) of -11.9%. A $10,000 investment would have grown to approximately $2,811. It has had a positive return in 20% of calendar years.

What is BSX.PA's Sharpe ratio?

BSX.PA has a Sharpe ratio of -1.01 and a Sortino ratio of -1.61 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 BSX.PA's dividend yield?

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

BSX.PA is currently below its 200-day moving average by 8.0%. 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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