Lyxor Index Fund - Lyxor Stoxx Europe 600 Banks UCITS ETF (BNK.PA)

10-Year Study

BNK.PA · FR · ETF

About Lyxor Index Fund - Lyxor Stoxx Europe 600 Banks UCITS ETF (BNK.PA)

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

Fundamental Snapshot

Lyxor Index Fund - Lyxor Stoxx Europe 600 Banks UCITS ETF (BNK.PA) charges an annual expense ratio of 30.00%, manages approximately $593.7M in net assets, and maintains a portfolio of 1 holdings. At the portfolio level, its underlying basket trades at 1.52x sales and 0.69x book value.

Executive Summary: Lyxor Index Fund - Lyxor Stoxx Europe 600 Banks UCITS ETF has compounded at 16.5% annually over the last 10 years, with a maximum drawdown of 53.5% and an annualized volatility of 26.7%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+53.5%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+48.0%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+32.3%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+16.5%

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$10,880
2016-09-01$10,587
2016-10-01$11,506
2016-11-01$11,990
2016-12-01$12,809
2017-01-01$13,136
2017-02-01$12,944
2017-03-01$13,698
2017-04-01$14,103
2017-05-01$14,029
2017-06-01$14,177
2017-07-01$14,581
2017-08-01$14,096
2017-09-01$14,758
2017-10-01$14,575
2017-11-01$14,263
2017-12-01$14,356
2018-01-01$15,140
2018-02-01$14,613
2018-03-01$13,689
2018-04-01$14,157
2018-05-01$13,043
2018-06-01$12,982
2018-07-01$13,560
2018-08-01$12,511
2018-09-01$12,679
2018-10-01$11,698
2018-11-01$11,635
2018-12-01$10,778
2019-01-01$11,274
2019-02-01$11,796
2019-03-01$11,361
2019-04-01$12,333
2019-05-01$11,079
2019-06-01$11,274
2019-07-01$10,964
2019-08-01$10,284
2019-09-01$11,196
2019-10-01$11,449
2019-11-01$11,726
2019-12-01$12,199
2020-01-01$11,597
2020-02-01$10,657
2020-03-01$7,538
2020-04-01$7,645
2020-05-01$7,612
2020-06-01$8,031
2020-07-01$7,603
2020-08-01$7,865
2020-09-01$7,039
2020-10-01$7,099
2020-11-01$9,245
2020-12-01$9,184
2021-01-01$8,959
2021-02-01$10,387
2021-03-01$11,088
2021-04-01$11,461
2021-05-01$12,048
2021-06-01$11,585
2021-07-01$11,499
2021-08-01$11,786
2021-09-01$12,243
2021-10-01$13,068
2021-11-01$12,036
2021-12-01$12,727
2022-01-01$13,778
2022-02-01$12,450
2022-03-01$12,209
2022-04-01$11,935
2022-05-01$12,648
2022-06-01$11,426
2022-07-01$11,601
2022-08-01$11,471
2022-09-01$10,935
2022-10-01$11,863
2022-11-01$12,961
2022-12-01$12,948
2023-01-01$14,763
2023-02-01$15,691
2023-03-01$13,611
2023-04-01$14,095
2023-05-01$13,913
2023-06-01$14,916
2023-07-01$15,754
2023-08-01$15,209
2023-09-01$15,588
2023-10-01$14,730
2023-11-01$15,829
2023-12-01$16,397
2024-01-01$16,597
2024-02-01$16,963
2024-03-01$18,804
2024-04-01$19,588
2024-05-01$20,657
2024-06-01$19,737
2024-07-01$20,871
2024-08-01$20,578
2024-09-01$20,738
2024-10-01$20,962
2024-11-01$20,941
2024-12-01$21,908
2025-01-01$24,030
2025-02-01$27,100
2025-03-01$26,975
2025-04-01$27,023
2025-05-01$29,470
2025-06-01$29,291
2025-07-01$31,435
2025-08-01$31,972
2025-09-01$33,466
2025-10-01$33,972
2025-11-01$35,615
2025-12-01$38,360
2026-01-01$40,439
2026-02-01$39,960
2026-03-01$36,010
2026-04-01$39,674
2026-05-01$41,685
2026-06-01$44,482
2026-07-01$47,307
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
53.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.66
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.89
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
23.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +75.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -24.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
80%

Annual Returns

View full annual returns data
YearReturn
201712.1%
2018-24.9%
201913.2%
2020-24.7%
202138.6%
20221.7%
202326.6%
202433.6%
202575.1%
202623.3%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20265.4-1.2-9.910.25.16.76.423.3%
20259.712.8-0.50.29.1-0.67.31.74.71.54.87.775.1%
20241.22.210.94.25.5-4.55.7-1.40.81.1-0.14.633.6%
202314.06.3-13.33.6-1.37.25.6-3.52.5-5.57.53.626.6%
20228.3-9.6-1.9-2.26.0-9.71.5-1.1-4.78.59.2-0.11.7%
2021-2.515.96.83.45.1-3.8-0.72.53.96.7-7.95.738.6%
2020-4.9-8.1-29.31.4-0.45.5-5.33.5-10.50.830.2-0.7-24.7%
20194.64.6-3.78.6-10.21.8-2.8-6.28.92.32.44.013.2%
20185.5-3.5-6.33.4-7.9-0.54.5-7.71.3-7.7-0.5-7.4-24.9%
20172.6-1.55.83.0-0.51.12.9-3.34.7-1.2-2.10.712.1%
20168.8-2.78.74.26.828.1%

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
26.7%
View full factor risk breakdown
FactorRisk Exposure
VTI.US54.4%
VEA.US61.4%
VWO.US3.2%
QQQ.US-10.1%
VTV.US-5.8%
IJR.US-2.8%
QUAL.US-13.1%
SHV.US0.5%
TLT.US-0.3%
LQD.US-1.4%
HYG.US6.4%
GLD.US-1.3%
USO.US0.9%
VNQ.US-2.9%
BTC-USD.CC0.4%
CPER.US1.1%
VIX.INDX-3.3%
UUP.US-2.1%
TIP.US0.2%
Idiosyncratic14.5%

Lyxor Index Fund - Lyxor Stoxx Europe 600 Banks UCITS ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
30.00%
96th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
45th pct
larger than 45% 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/E6.59x
Portfolio Price-to-Sales1.52x
Portfolio Price-to-Book0.69x

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 →
+7.2%
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 →
+20.3%
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 →
0.0% 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 →
1.24
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 →
✦ Golden Cross
Bullish — 50 SMA above 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 →
63
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+14.6%
50.0% retracement+20.0%
61.8% retracement+25.9%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BNK.PA — 10-Year Return & Risk Profile

Lyxor Index Fund - Lyxor Stoxx Europe 600 Banks UCITS ETF (BNK.PA) has delivered strong annualized growth of 16.5% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $45,861, representing a total return of 359%. Over this period, BNK.PA generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for BNK.PA was 2025, with a return of +75.1%. The worst year was 2018, when the asset declined 24.9%. 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 0.66 is considered acceptable 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.

BNK.PA — Drawdown, Volatility & Downside Risk

BNK.PA's annualized volatility of 23.7% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BNK.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 53.5% — a severe bear-market collapse. 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 54% drawdown, for example, requires a 115% gain just to break even.

When evaluating BNK.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.

BNK.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 61.4% of BNK.PA's return variance to Developed Market Equities (ex-US). This means that when Developed Market Equities (ex-US) rises or falls sharply, BNK.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 BNK.PA allocation.

The second-largest macro driver is US Equity (broad market), contributing 54.4% of variance. 14.5% of BNK.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 BNK.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BNK.PA 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 Lyxor Index Fund - Lyxor Stoxx Europe 600 Banks UCITS ETF a high-risk investment?

Lyxor Index Fund - Lyxor Stoxx Europe 600 Banks UCITS ETF (BNK.PA) has an annualized volatility of 26.7% and experienced a maximum drawdown of 53.5% over the last 10 years. Its primary macro risk driver is VEA.US.

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

Over the past 10 years, BNK.PA has generated a Compound Annual Growth Rate (CAGR) of 16.5%. A $10,000 investment would have grown to approximately $45,861. It has had a positive return in 80% of calendar years.

What is BNK.PA's Sharpe ratio?

BNK.PA has a Sharpe ratio of 0.66 and a Sortino ratio of 0.89 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 BNK.PA's dividend yield?

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

BNK.PA is currently above its 200-day moving average by 20.3%. The current trend signal is: Bullish — 50 SMA above 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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