Amundi Index Solutions - Amundi MSCI China UCITS ETF-C USD (CC1U.PA)

10-Year Study

CC1U.PA · FR · ETF

About Amundi Index Solutions - Amundi MSCI China UCITS ETF-C USD (CC1U.PA)

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

Fundamental Snapshot

Amundi Index Solutions - Amundi MSCI China UCITS ETF-C USD (CC1U.PA) charges an annual expense ratio of low annual fee, manages approximately $40.8M in net assets, and maintains a portfolio of 7 holdings. At the portfolio level, its underlying basket trades at 1.35x sales and 2.46x book value.

Executive Summary: Amundi Index Solutions - Amundi MSCI China UCITS ETF-C USD has compounded at 2.0% annually over the last 10 years, with a maximum drawdown of 48.0% and an annualized volatility of 22.7%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-6.7%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.3%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+0.9%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+2.0%

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$10,662
2016-09-01$10,696
2016-10-01$10,568
2016-11-01$10,833
2016-12-01$10,319
2017-01-01$10,741
2017-02-01$11,377
2017-03-01$11,344
2017-04-01$11,255
2017-05-01$11,322
2017-06-01$11,595
2017-07-01$12,177
2017-08-01$12,711
2017-09-01$12,398
2017-10-01$13,066
2017-11-01$13,285
2017-12-01$13,324
2018-01-01$15,413
2018-02-01$13,943
2018-03-01$13,595
2018-04-01$13,893
2018-05-01$13,686
2018-06-01$12,183
2018-07-01$12,739
2018-08-01$12,347
2018-09-01$12,509
2018-10-01$11,456
2018-11-01$11,906
2018-12-01$11,583
2019-01-01$12,721
2019-02-01$13,162
2019-03-01$12,875
2019-04-01$13,072
2019-05-01$11,932
2019-06-01$12,606
2019-07-01$12,306
2019-08-01$11,530
2019-09-01$11,725
2019-10-01$12,074
2019-11-01$12,228
2019-12-01$12,891
2020-01-01$11,528
2020-02-01$11,698
2020-03-01$11,119
2020-04-01$11,246
2020-05-01$10,719
2020-06-01$10,949
2020-07-01$11,396
2020-08-01$11,179
2020-09-01$10,616
2020-10-01$11,018
2020-11-01$12,690
2020-12-01$12,478
2021-01-01$12,932
2021-02-01$13,300
2021-03-01$13,396
2021-04-01$13,211
2021-05-01$13,577
2021-06-01$13,189
2021-07-01$12,452
2021-08-01$12,688
2021-09-01$12,421
2021-10-01$12,834
2021-11-01$11,988
2021-12-01$12,179
2022-01-01$12,731
2022-02-01$12,752
2022-03-01$11,988
2022-04-01$11,501
2022-05-01$11,795
2022-06-01$12,142
2022-07-01$11,292
2022-08-01$11,006
2022-09-01$9,879
2022-10-01$8,807
2022-11-01$10,653
2022-12-01$11,228
2023-01-01$12,220
2023-02-01$11,417
2023-03-01$11,515
2023-04-01$11,811
2023-05-01$11,316
2023-06-01$11,973
2023-07-01$12,620
2023-08-01$11,097
2023-09-01$10,359
2023-10-01$9,598
2023-11-01$9,862
2023-12-01$9,407
2024-01-01$8,016
2024-02-01$8,893
2024-03-01$9,491
2024-04-01$9,320
2024-05-01$9,238
2024-06-01$8,546
2024-07-01$8,207
2024-08-01$8,287
2024-09-01$10,706
2024-10-01$10,476
2024-11-01$9,889
2024-12-01$10,181
2025-01-01$10,355
2025-02-01$11,312
2025-03-01$10,881
2025-04-01$10,322
2025-05-01$10,536
2025-06-01$11,156
2025-07-01$11,854
2025-08-01$13,834
2025-09-01$15,302
2025-10-01$14,867
2025-11-01$13,922
2025-12-01$14,076
2026-01-01$14,472
2026-02-01$14,283
2026-03-01$13,097
2026-04-01$14,181
2026-05-01$14,166
2026-06-01$13,006
2026-07-01$12,990
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
48.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.03
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.07
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
23.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +38.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · -16.2%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
40%

Annual Returns

View full annual returns data
YearReturn
201729.1%
2018-13.1%
201911.3%
2020-3.2%
2021-2.4%
2022-7.8%
2023-16.2%
20248.2%
202538.3%
2026-7.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.8-1.3-8.38.3-0.1-8.2-0.1-7.7%
20251.79.2-3.8-5.12.15.96.316.710.6-2.8-6.41.138.3%
2024-14.810.96.7-1.8-0.9-7.5-4.01.029.2-2.1-5.62.98.2%
20238.8-6.60.92.6-4.25.85.4-12.1-6.6-7.42.8-4.6-16.2%
20224.50.2-6.0-4.12.62.9-7.0-2.5-10.2-10.921.05.4-7.8%
20213.62.80.7-1.42.8-2.9-5.61.9-2.13.3-6.61.6-2.4%
2020-10.61.5-4.91.1-4.72.14.1-1.9-5.03.815.2-1.7-3.2%
20199.83.5-2.21.5-8.75.6-2.4-6.31.73.01.35.411.3%
201815.7-9.5-2.52.2-1.5-11.04.6-3.11.3-8.43.9-2.7-13.1%
20174.15.9-0.3-0.80.62.45.04.4-2.55.41.70.329.1%
20166.60.3-1.22.5-4.73.2%

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
22.7%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-4.5%
VEA.US-5.0%
VWO.US67.0%
QQQ.US1.6%
VTV.US15.2%
IJR.US-2.7%
QUAL.US-4.9%
SHV.US2.3%
TLT.US-2.1%
LQD.US3.6%
HYG.US0.5%
GLD.US-0.8%
USO.US1.4%
VNQ.US0.1%
BTC-USD.CC0.8%
CPER.US-2.6%
VIX.INDX-1.1%
UUP.US-1.2%
TIP.US5.5%
Idiosyncratic27.0%

Amundi Index Solutions - Amundi MSCI China UCITS ETF-C USD ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Fund Size vs Peers
8th pct
larger than 8% of 1,446 ETFs we track
Holdings Count7
Distribution Yield
0.0%
10th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E17.99x
Portfolio Price-to-Sales1.35x
Portfolio Price-to-Book2.46x

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 →
-2.5%
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 →
-7.1%
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 →
16.4% 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 →
0.33
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 →
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-8.4%
50.0% retracement-5.6%
61.8% retracement-2.7%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

CC1U.PA — 10-Year Return & Risk Profile

Amundi Index Solutions - Amundi MSCI China UCITS ETF-C USD (CC1U.PA) has delivered near-flat annualized growth of 2.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $12,186, representing a total return of 22%. Over this period, CC1U.PA generated positive annual returns in 4 out of 10 calendar years (40%).

The best single calendar year for CC1U.PA was 2025, with a return of +38.3%. The worst year was 2023, when the asset declined 16.2%. 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 0.03 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.

CC1U.PA — Drawdown, Volatility & Downside Risk

CC1U.PA's annualized volatility of 23.0% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in CC1U.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 48.0% — 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 48% drawdown, for example, requires a 92% gain just to break even.

When evaluating CC1U.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.

CC1U.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 67.0% of CC1U.PA's return variance to Emerging Market Equities. This means that when Emerging Market Equities rises or falls sharply, CC1U.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 CC1U.PA allocation.

The second-largest macro driver is US Value Equities, contributing 15.2% of variance. 27.0% of CC1U.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 CC1U.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding CC1U.PA alongside assets with low correlation to Emerging Market Equities — 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 MSCI China UCITS ETF-C USD a high-risk investment?

Amundi Index Solutions - Amundi MSCI China UCITS ETF-C USD (CC1U.PA) has an annualized volatility of 22.7% and experienced a maximum drawdown of 48.0% over the last 10 years. Its primary macro risk driver is VWO.US.

What is the 10-year return of CC1U.PA?

Over the past 10 years, CC1U.PA has generated a Compound Annual Growth Rate (CAGR) of 2.0%. A $10,000 investment would have grown to approximately $12,186. It has had a positive return in 40% of calendar years.

What is CC1U.PA's Sharpe ratio?

CC1U.PA has a Sharpe ratio of 0.03 and a Sortino ratio of 0.07 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 CC1U.PA's dividend yield?

CC1U.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 CC1U.PA above its 200-day moving average?

CC1U.PA is currently below its 200-day moving average by 7.1%. 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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