Lyxor UCITS CAC 40 Daily Double Short (BX4.PA)

10-Year Study

BX4.PA · FR · ETF

About Lyxor UCITS CAC 40 Daily Double Short (BX4.PA)

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

Fundamental Snapshot

Lyxor UCITS CAC 40 Daily Double Short (BX4.PA) charges an annual expense ratio of low annual fee, manages approximately $168.3M in net assets, and maintains a portfolio of 1 holdings.

Executive Summary: Lyxor UCITS CAC 40 Daily Double Short has compounded at -23.6% annually over the last 10 years, with a maximum drawdown of 93.0% and an annualized volatility of 57.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-24.4%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-15.2%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-17.9%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-23.6%

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$9,922
2016-09-01$9,783
2016-10-01$9,445
2016-11-01$9,095
2016-12-01$7,998
2017-01-01$8,329
2017-02-01$7,931
2017-03-01$7,087
2017-04-01$6,598
2017-05-01$6,303
2017-06-01$6,616
2017-07-01$6,647
2017-08-01$6,628
2017-09-01$6,019
2017-10-01$5,609
2017-11-01$5,850
2017-12-01$5,941
2018-01-01$5,555
2018-02-01$5,838
2018-03-01$6,118
2018-04-01$5,295
2018-05-01$5,334
2018-06-01$5,387
2018-07-01$5,001
2018-08-01$5,172
2018-09-01$4,976
2018-10-01$5,727
2018-11-01$5,895
2018-12-01$6,472
2019-01-01$5,764
2019-02-01$5,191
2019-03-01$4,940
2019-04-01$4,475
2019-05-01$4,935
2019-06-01$4,303
2019-07-01$4,303
2019-08-01$4,310
2019-09-01$3,988
2019-10-01$3,879
2019-11-01$3,630
2019-12-01$3,491
2020-01-01$3,691
2020-02-01$4,356
2020-03-01$5,463
2020-04-01$4,865
2020-05-01$4,415
2020-06-01$3,866
2020-07-01$4,026
2020-08-01$3,729
2020-09-01$3,878
2020-10-01$4,195
2020-11-01$2,823
2020-12-01$2,747
2021-01-01$2,889
2021-02-01$2,577
2021-03-01$2,256
2021-04-01$2,093
2021-05-01$1,919
2021-06-01$1,862
2021-07-01$1,787
2021-08-01$1,740
2021-09-01$1,808
2021-10-01$1,634
2021-11-01$1,668
2021-12-01$1,454
2022-01-01$1,494
2022-02-01$1,626
2022-03-01$1,550
2022-04-01$1,575
2022-05-01$1,534
2022-06-01$1,789
2022-07-01$1,486
2022-08-01$1,636
2022-09-01$1,827
2022-10-01$1,530
2022-11-01$1,317
2022-12-01$1,416
2023-01-01$1,179
2023-02-01$1,118
2023-03-01$1,091
2023-04-01$1,033
2023-05-01$1,120
2023-06-01$1,028
2023-07-01$1,001
2023-08-01$1,056
2023-09-01$1,112
2023-10-01$1,200
2023-11-01$1,069
2023-12-01$1,009
2024-01-01$982
2024-02-01$921
2024-03-01$865
2024-04-01$907
2024-05-01$886
2024-06-01$1,008
2024-07-01$997
2024-08-01$975
2024-09-01$973
2024-10-01$1,056
2024-11-01$1,092
2024-12-01$1,059
2025-01-01$907
2025-02-01$873
2025-03-01$945
2025-04-01$961
2025-05-01$892
2025-06-01$909
2025-07-01$884
2025-08-01$900
2025-09-01$858
2025-10-01$807
2025-11-01$808
2025-12-01$808
2026-01-01$810
2026-02-01$730
2026-03-01$872
2026-04-01$794
2026-05-01$754
2026-06-01$714
2026-07-01$697
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
93.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.83
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-1.36
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
29.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · +8.9%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · -47.1%
% 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
2017-25.7%
20188.9%
2019-46.1%
2020-21.3%
2021-47.1%
2022-2.6%
2023-28.7%
20245.0%
2025-23.7%
2026-13.8%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.1-9.919.5-8.9-5.0-5.3-2.4-13.8%
2025-14.4-3.78.11.7-7.21.9-2.71.8-4.7-5.90.20.0-23.7%
2024-2.7-6.3-6.04.9-2.313.7-1.1-2.2-0.18.53.4-3.05.0%
2023-16.8-5.2-2.4-5.38.4-8.2-2.75.55.47.9-10.9-5.6-28.7%
20222.88.8-4.71.6-2.616.6-16.910.111.7-16.2-13.97.5-2.6%
20215.2-10.8-12.5-7.2-8.3-3.0-4.0-2.63.9-9.62.1-12.8-47.1%
20205.718.025.4-10.9-9.2-12.44.1-7.44.08.2-32.7-2.7-21.3%
2019-10.9-9.9-4.8-9.410.3-12.80.00.2-7.5-2.7-6.4-3.8-46.1%
2018-6.55.14.8-13.50.71.0-7.23.4-3.815.12.99.88.9%
20174.1-4.8-10.6-6.9-4.55.00.5-0.3-9.2-6.84.31.5-25.7%
2016-0.8-1.4-3.5-3.7-12.1-20.0%

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
57.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US0.4%
VEA.US25.2%
VWO.US-1.9%
QQQ.US-3.2%
VTV.US-0.5%
IJR.US0.6%
QUAL.US4.7%
SHV.US72.5%
TLT.US1.2%
LQD.US-1.2%
HYG.US1.6%
GLD.US-0.4%
USO.US0.3%
VNQ.US-2.8%
BTC-USD.CC0.2%
CPER.US1.0%
VIX.INDX0.2%
UUP.US-0.8%
TIP.US-0.1%
Idiosyncratic2.9%

Lyxor UCITS CAC 40 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
21st pct
larger than 21% 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 →
-4.0%
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 →
-11.1%
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 →
23.8% 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-16.1%
50.0% retracement-13.5%
61.8% retracement-10.6%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BX4.PA — 10-Year Return & Risk Profile

Lyxor UCITS CAC 40 Daily Double Short (BX4.PA) has delivered negative annualized growth of 23.6% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $680, representing a total return of 93%. Over this period, BX4.PA generated positive annual returns in 2 out of 10 calendar years (20%).

The best single calendar year for BX4.PA was 2018, with a return of +8.9%. The worst year was 2021, when the asset declined 47.1%. 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 -0.83 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.

BX4.PA — Drawdown, Volatility & Downside Risk

BX4.PA's annualized volatility of 29.3% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BX4.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 93.0% — 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 93% drawdown, for example, requires a 1335% gain just to break even.

When evaluating BX4.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.

BX4.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 72.5% of BX4.PA's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, BX4.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 BX4.PA allocation.

The second-largest macro driver is Developed Market Equities (ex-US), contributing 25.2% of variance. 2.9% of BX4.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 BX4.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BX4.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 CAC 40 Daily Double Short a high-risk investment?

Lyxor UCITS CAC 40 Daily Double Short (BX4.PA) has an annualized volatility of 57.3% and experienced a maximum drawdown of 93.0% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of BX4.PA?

Over the past 10 years, BX4.PA has generated a Compound Annual Growth Rate (CAGR) of -23.6%. A $10,000 investment would have grown to approximately $680. It has had a positive return in 20% of calendar years.

What is BX4.PA's Sharpe ratio?

BX4.PA has a Sharpe ratio of -0.83 and a Sortino ratio of -1.36 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 BX4.PA's dividend yield?

BX4.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 BX4.PA above its 200-day moving average?

BX4.PA is currently below its 200-day moving average by 11.1%. 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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