Amundi Euro Stoxx Banks UCITS ETF Acc (BNKE.PA)

10-Year Study

BNKE.PA · FR · ETF

About Amundi Euro Stoxx Banks UCITS ETF Acc (BNKE.PA)

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

Fundamental Snapshot

Amundi Euro Stoxx Banks UCITS ETF Acc (BNKE.PA) charges an annual expense ratio of 30.00%, manages approximately $5.9B in net assets, and maintains a portfolio of 10 holdings. At the portfolio level, its underlying basket trades at 2.53x sales and 1.33x book value.

Executive Summary: Amundi Euro Stoxx Banks UCITS ETF Acc has compounded at 18.0% annually over the last 10 years, with a maximum drawdown of 58.0% and an annualized volatility of 31.1%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+49.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+51.6%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+33.6%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+18.0%

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$10,664
2016-09-01$10,268
2016-10-01$11,596
2016-11-01$11,678
2016-12-01$13,076
2017-01-01$13,151
2017-02-01$12,713
2017-03-01$14,222
2017-04-01$14,852
2017-05-01$14,788
2017-06-01$14,976
2017-07-01$15,507
2017-08-01$15,059
2017-09-01$15,783
2017-10-01$15,541
2017-11-01$15,145
2017-12-01$14,944
2018-01-01$16,160
2018-02-01$15,436
2018-03-01$14,408
2018-04-01$15,036
2018-05-01$13,035
2018-06-01$13,045
2018-07-01$13,802
2018-08-01$12,348
2018-09-01$12,624
2018-10-01$11,504
2018-11-01$11,507
2018-12-01$10,309
2019-01-01$10,860
2019-02-01$11,708
2019-03-01$11,124
2019-04-01$12,159
2019-05-01$10,723
2019-06-01$10,955
2019-07-01$10,728
2019-08-01$10,043
2019-09-01$10,936
2019-10-01$11,222
2019-11-01$11,680
2019-12-01$12,156
2020-01-01$11,458
2020-02-01$10,531
2020-03-01$6,826
2020-04-01$7,002
2020-05-01$7,306
2020-06-01$7,981
2020-07-01$7,432
2020-08-01$7,866
2020-09-01$6,918
2020-10-01$6,792
2020-11-01$9,371
2020-12-01$9,406
2021-01-01$8,932
2021-02-01$10,651
2021-03-01$11,175
2021-04-01$11,688
2021-05-01$12,600
2021-06-01$12,013
2021-07-01$11,921
2021-08-01$12,387
2021-09-01$12,928
2021-10-01$13,447
2021-11-01$12,315
2021-12-01$13,152
2022-01-01$14,008
2022-02-01$12,312
2022-03-01$11,991
2022-04-01$11,543
2022-05-01$12,572
2022-06-01$10,994
2022-07-01$10,950
2022-08-01$10,834
2022-09-01$10,777
2022-10-01$12,058
2022-11-01$13,136
2022-12-01$13,286
2023-01-01$15,395
2023-02-01$16,407
2023-03-01$14,176
2023-04-01$14,614
2023-05-01$14,186
2023-06-01$15,494
2023-07-01$16,442
2023-08-01$16,137
2023-09-01$16,153
2023-10-01$15,642
2023-11-01$17,013
2023-12-01$17,301
2024-01-01$17,792
2024-02-01$17,887
2024-03-01$20,557
2024-04-01$21,318
2024-05-01$22,452
2024-06-01$20,939
2024-07-01$22,132
2024-08-01$21,935
2024-09-01$22,276
2024-10-01$22,390
2024-11-01$21,678
2024-12-01$22,827
2025-01-01$25,270
2025-02-01$28,677
2025-03-01$29,176
2025-04-01$29,387
2025-05-01$32,560
2025-06-01$32,505
2025-07-01$35,584
2025-08-01$36,341
2025-09-01$37,968
2025-10-01$37,999
2025-11-01$40,004
2025-12-01$43,294
2026-01-01$45,262
2026-02-01$44,147
2026-03-01$39,270
2026-04-01$43,314
2026-05-01$46,096
2026-06-01$49,644
2026-07-01$52,415
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
58.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.65
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.87
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
28.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +89.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -31.0%
% 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
201714.3%
2018-31.0%
201917.9%
2020-22.6%
202139.8%
20221.0%
202330.2%
202431.9%
202589.7%
202621.1%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20264.5-2.5-11.010.36.47.75.621.1%
202510.713.51.70.710.8-0.29.52.14.50.15.38.289.7%
20242.80.514.93.75.3-6.75.7-0.91.60.5-3.25.331.9%
202315.96.6-13.63.1-2.99.26.1-1.80.1-3.28.81.730.2%
20226.5-12.1-2.6-3.78.9-12.5-0.4-1.1-0.511.98.91.11.0%
2021-5.019.24.94.67.8-4.7-0.83.94.44.0-8.46.839.8%
2020-5.7-8.1-35.22.64.39.2-6.95.8-12.1-1.838.00.4-22.6%
20195.37.8-5.09.3-11.82.2-2.1-6.48.92.64.14.117.9%
20188.1-4.5-6.74.4-13.30.15.8-10.52.2-8.90.0-10.4-31.0%
20170.6-3.311.94.4-0.41.33.5-2.94.8-1.5-2.5-1.314.3%
20166.6-3.712.90.712.030.8%

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
31.1%
View full factor risk breakdown
FactorRisk Exposure
VTI.US50.0%
VEA.US57.1%
VWO.US1.5%
QQQ.US-8.7%
VTV.US-4.9%
IJR.US-2.7%
QUAL.US-11.7%
SHV.US1.9%
TLT.US-0.0%
LQD.US-0.9%
HYG.US9.2%
GLD.US-0.9%
USO.US1.0%
VNQ.US-3.4%
BTC-USD.CC0.3%
CPER.US0.5%
VIX.INDX-3.3%
UUP.US-1.2%
TIP.US1.7%
Idiosyncratic14.5%

Amundi Euro Stoxx Banks UCITS ETF Acc 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
81st pct
larger than 81% of 1,446 ETFs we track
Holdings Count10
Distribution Yield
0.0%
10th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E10.94x
Portfolio Price-to-Sales2.53x
Portfolio Price-to-Book1.33x

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 →
+7.1%
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 →
+19.9%
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 →
1.10
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 →
61
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+13.9%
50.0% retracement+19.0%
61.8% retracement+24.6%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BNKE.PA — 10-Year Return & Risk Profile

Amundi Euro Stoxx Banks UCITS ETF Acc (BNKE.PA) has delivered exceptional annualized growth of 18.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $52,515, representing a total return of 425%. Over this period, BNKE.PA generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for BNKE.PA was 2025, with a return of +89.7%. The worst year was 2018, when the asset declined 31.0%. 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 0.65 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.

BNKE.PA — Drawdown, Volatility & Downside Risk

BNKE.PA's annualized volatility of 28.4% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BNKE.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 58.0% — 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 58% drawdown, for example, requires a 138% gain just to break even.

When evaluating BNKE.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.

BNKE.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 57.1% of BNKE.PA's return variance to Developed Market Equities (ex-US). This means that when Developed Market Equities (ex-US) rises or falls sharply, BNKE.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 BNKE.PA allocation.

The second-largest macro driver is US Equity (broad market), contributing 50.0% of variance. 14.5% of BNKE.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 BNKE.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BNKE.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 Amundi Euro Stoxx Banks UCITS ETF Acc a high-risk investment?

Amundi Euro Stoxx Banks UCITS ETF Acc (BNKE.PA) has an annualized volatility of 31.1% and experienced a maximum drawdown of 58.0% over the last 10 years. Its primary macro risk driver is VEA.US.

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

Over the past 10 years, BNKE.PA has generated a Compound Annual Growth Rate (CAGR) of 18.0%. A $10,000 investment would have grown to approximately $52,515. It has had a positive return in 80% of calendar years.

What is BNKE.PA's Sharpe ratio?

BNKE.PA has a Sharpe ratio of 0.65 and a Sortino ratio of 0.87 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 BNKE.PA's dividend yield?

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

BNKE.PA is currently above its 200-day moving average by 19.9%. 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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