Amundi Index Solutions - Amundi Index MSCI Europe UCITS ETF DR EUR (10AI.XETRA)

10-Year Study

10AI.XETRA · DE · ETF

About Amundi Index Solutions - Amundi Index MSCI Europe UCITS ETF DR EUR (10AI.XETRA)

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

Fundamental Snapshot

Amundi Index Solutions - Amundi Index MSCI Europe UCITS ETF DR EUR (10AI.XETRA) charges an annual expense ratio of 12.00%, manages approximately institutional assets in net assets, and maintains a portfolio of 10 holdings. At the portfolio level, its underlying basket trades at 1.71x sales and 2.24x book value.

Executive Summary: Amundi Index Solutions - Amundi Index MSCI Europe UCITS ETF DR EUR has compounded at 9.7% annually over the last 10 years, with a maximum drawdown of 23.3% and an annualized volatility of 16.0%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+23.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+16.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+11.0%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+9.7%

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
2018-04-01$10,000
2018-05-01$10,146
2018-06-01$10,096
2018-07-01$10,412
2018-08-01$10,259
2018-09-01$10,304
2018-10-01$9,679
2018-11-01$9,600
2018-12-01$8,879
2019-01-01$9,637
2019-02-01$10,024
2019-03-01$10,183
2019-04-01$10,575
2019-05-01$10,126
2019-06-01$10,510
2019-07-01$10,599
2019-08-01$10,455
2019-09-01$10,804
2019-10-01$10,940
2019-11-01$11,237
2019-12-01$11,575
2020-01-01$11,461
2020-02-01$10,384
2020-03-01$8,879
2020-04-01$9,414
2020-05-01$9,666
2020-06-01$9,997
2020-07-01$9,975
2020-08-01$10,149
2020-09-01$9,998
2020-10-01$9,501
2020-11-01$10,831
2020-12-01$11,171
2021-01-01$11,228
2021-02-01$11,313
2021-03-01$12,041
2021-04-01$12,268
2021-05-01$12,607
2021-06-01$12,845
2021-07-01$13,077
2021-08-01$13,308
2021-09-01$12,922
2021-10-01$13,515
2021-11-01$13,187
2021-12-01$13,984
2022-01-01$13,479
2022-02-01$13,066
2022-03-01$13,199
2022-04-01$13,134
2022-05-01$13,008
2022-06-01$12,000
2022-07-01$12,932
2022-08-01$12,287
2022-09-01$11,509
2022-10-01$12,230
2022-11-01$13,095
2022-12-01$12,678
2023-01-01$13,519
2023-02-01$13,732
2023-03-01$13,734
2023-04-01$14,072
2023-05-01$13,743
2023-06-01$14,072
2023-07-01$14,338
2023-08-01$13,983
2023-09-01$13,777
2023-10-01$13,254
2023-11-01$14,132
2023-12-01$14,661
2024-01-01$14,880
2024-02-01$15,158
2024-03-01$15,764
2024-04-01$15,613
2024-05-01$16,165
2024-06-01$15,983
2024-07-01$16,182
2024-08-01$16,447
2024-09-01$16,399
2024-10-01$15,863
2024-11-01$16,017
2024-12-01$15,875
2025-01-01$17,000
2025-02-01$17,612
2025-03-01$16,890
2025-04-01$16,770
2025-05-01$17,592
2025-06-01$17,354
2025-07-01$17,484
2025-08-01$17,667
2025-09-01$17,937
2025-10-01$18,427
2025-11-01$18,604
2025-12-01$19,085
2026-01-01$19,710
2026-02-01$20,484
2026-03-01$18,890
2026-04-01$19,877
2026-05-01$20,530
2026-06-01$21,197
2026-07-01$21,394
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
23.3%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.44
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.58
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
14.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +30.4%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -9.3%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
75%

Annual Returns

View full annual returns data
YearReturn
201930.4%
2020-3.5%
202125.2%
2022-9.3%
202315.6%
20248.3%
202520.2%
202612.1%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20263.33.9-7.85.23.33.20.912.1%
20257.13.6-4.1-0.74.9-1.30.71.01.52.71.02.620.2%
20241.51.94.0-1.03.5-1.11.21.6-0.3-3.31.0-0.98.3%
20236.61.60.02.5-2.32.41.9-2.5-1.5-3.86.63.715.6%
2022-3.6-3.11.0-0.5-1.0-7.77.8-5.0-6.36.37.1-3.2-9.3%
20210.50.86.41.92.81.91.81.8-2.94.6-2.46.025.2%
2020-1.0-9.4-14.56.02.73.4-0.21.7-1.5-5.014.03.1-3.5%
20198.54.01.63.8-4.23.80.9-1.43.31.32.73.030.4%
20181.5-0.53.1-1.50.4-6.1-0.8-7.5-11.2%

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
16.0%
View full factor risk breakdown
FactorRisk Exposure
VTI.US2.9%
VEA.US67.5%
VWO.US-1.4%
QQQ.US-9.7%
VTV.US-3.7%
IJR.US-0.8%
QUAL.US12.7%
SHV.US27.1%
TLT.US0.9%
LQD.US-2.0%
HYG.US1.5%
GLD.US-1.1%
USO.US0.8%
VNQ.US-1.8%
BTC-USD.CC0.1%
CPER.US1.8%
VIX.INDX0.5%
UUP.US0.4%
TIP.US0.8%
Idiosyncratic3.6%

Amundi Index Solutions - Amundi Index MSCI Europe UCITS ETF DR EUR ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
12.00%
87th pct of 1250 ETFs · median 0.50%
Holdings Count10
Distribution Yield
2.4%
57th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio14.62x
Portfolio Forward P/E14.62x
Portfolio Price-to-Sales1.71x
Portfolio Price-to-Book2.24x

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 →
+8.4%
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 →
0.6% 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 →
1.00
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 →
✦ 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 →
59
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+7.4%
50.0% retracement+10.2%
61.8% retracement+13.1%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

10AI.XETRA — 10-Year Return & Risk Profile

Amundi Index Solutions - Amundi Index MSCI Europe UCITS ETF DR EUR (10AI.XETRA) has delivered solid annualized growth of 9.7% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $25,142, representing a total return of 151%. Over this period, 10AI.XETRA generated positive annual returns in 8 out of 10 calendar years (75%).

The best single calendar year for 10AI.XETRA was 2019, with a return of +30.4%. The worst year was 2022, when the asset declined 9.3%. 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 0.44 is considered weak 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.

10AI.XETRA — Drawdown, Volatility & Downside Risk

10AI.XETRA's annualized volatility of 14.4% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This below-average volatility profile suggests the asset has historically experienced smaller day-to-day price swings than the broad market, which may appeal to risk-conscious or income-oriented investors.

The asset's maximum peak-to-trough decline over the study period was 23.3% — a significant bear-market drawdown. 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 23% drawdown, for example, requires a 30% gain just to break even.

When evaluating 10AI.XETRA 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.

10AI.XETRA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 67.5% of 10AI.XETRA's return variance to Developed Market Equities (ex-US). This means that when Developed Market Equities (ex-US) rises or falls sharply, 10AI.XETRA 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 10AI.XETRA allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 27.1% of variance. 3.6% of 10AI.XETRA'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 10AI.XETRA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 10AI.XETRA 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 Index Solutions - Amundi Index MSCI Europe UCITS ETF DR EUR a high-risk investment?

Amundi Index Solutions - Amundi Index MSCI Europe UCITS ETF DR EUR (10AI.XETRA) has an annualized volatility of 16.0% and experienced a maximum drawdown of 23.3% over the last 10 years. Its primary macro risk driver is VEA.US.

What is the 10-year return of 10AI.XETRA?

Over the past 10 years, 10AI.XETRA has generated a Compound Annual Growth Rate (CAGR) of 9.7%. A $10,000 investment would have grown to approximately $25,142. It has had a positive return in 75% of calendar years.

What is 10AI.XETRA's Sharpe ratio?

10AI.XETRA has a Sharpe ratio of 0.44 and a Sortino ratio of 0.58 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 10AI.XETRA's dividend yield?

10AI.XETRA has an average trailing dividend yield of 2.41%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is 10AI.XETRA above its 200-day moving average?

10AI.XETRA is currently above its 200-day moving average by 8.4%. 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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