Amundi ETF Govies 0-6 Months EuroMTS Investment Grade UCITS ETF DR (C3M.PA)

10-Year Study

C3M.PA · FR · ETF

About Amundi ETF Govies 0-6 Months EuroMTS Investment Grade UCITS ETF DR (C3M.PA)

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

Fundamental Snapshot

Amundi ETF Govies 0-6 Months EuroMTS Investment Grade UCITS ETF DR (C3M.PA) charges an annual expense ratio of 14.00%, manages approximately $912.2M in net assets, and maintains a portfolio of 4 holdings.

Executive Summary: Amundi ETF Govies 0-6 Months EuroMTS Investment Grade UCITS ETF DR has compounded at 0.6% annually over the last 10 years, with a maximum drawdown of 4.4% and an annualized volatility of 2.9%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+1.9%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+2.7%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+1.9%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+0.6%

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$9,993
2016-09-01$9,988
2016-10-01$9,985
2016-11-01$9,976
2016-12-01$9,974
2017-01-01$9,965
2017-02-01$9,958
2017-03-01$9,948
2017-04-01$9,945
2017-05-01$9,941
2017-06-01$9,932
2017-07-01$9,926
2017-08-01$9,916
2017-09-01$9,911
2017-10-01$9,907
2017-11-01$9,902
2017-12-01$9,896
2018-01-01$9,890
2018-02-01$9,883
2018-03-01$9,880
2018-04-01$9,874
2018-05-01$9,865
2018-06-01$9,857
2018-07-01$9,850
2018-08-01$9,847
2018-09-01$9,840
2018-10-01$9,839
2018-11-01$9,838
2018-12-01$9,828
2019-01-01$9,823
2019-02-01$9,819
2019-03-01$9,815
2019-04-01$9,808
2019-05-01$9,803
2019-06-01$9,801
2019-07-01$9,795
2019-08-01$9,791
2019-10-01$9,781
2019-11-01$9,772
2019-12-01$9,768
2020-01-01$9,764
2020-02-01$9,754
2020-03-01$9,739
2020-04-01$9,740
2020-05-01$9,741
2020-06-01$9,739
2020-07-01$9,735
2020-08-01$9,731
2020-09-01$9,724
2020-10-01$9,720
2020-11-01$9,715
2020-12-01$9,710
2021-01-01$9,699
2021-02-01$9,695
2021-03-01$9,690
2021-04-01$9,682
2021-05-01$9,676
2021-06-01$9,673
2021-07-01$9,667
2021-08-01$9,660
2021-09-01$9,655
2021-10-01$9,649
2021-11-01$9,647
2021-12-01$9,634
2022-01-01$9,627
2022-02-01$9,622
2022-03-01$9,612
2022-04-01$9,608
2022-05-01$9,600
2022-06-01$9,594
2022-07-01$9,586
2022-08-01$9,581
2022-09-01$9,564
2022-10-01$9,578
2022-11-01$9,584
2022-12-01$9,595
2023-01-01$9,599
2023-02-01$9,616
2023-03-01$9,643
2023-04-01$9,659
2023-05-01$9,680
2023-06-01$9,700
2023-07-01$9,724
2023-08-01$9,754
2023-09-01$9,783
2023-10-01$9,810
2023-11-01$9,837
2023-12-01$9,872
2024-01-01$9,899
2024-02-01$9,929
2024-03-01$9,958
2024-04-01$9,988
2024-05-01$10,020
2024-06-01$10,047
2024-07-01$10,079
2024-08-01$10,111
2024-09-01$10,144
2024-10-01$10,159
2024-11-01$10,194
2024-12-01$10,221
2025-01-01$10,239
2025-02-01$10,264
2025-03-01$10,281
2025-04-01$10,304
2025-05-01$10,323
2025-06-01$10,335
2025-07-01$10,350
2025-08-01$10,366
2025-09-01$10,380
2025-10-01$10,400
2025-11-01$10,415
2025-12-01$10,432
2026-01-01$10,449
2026-02-01$10,464
2026-03-01$10,477
2026-04-01$10,500
2026-05-01$10,517
2026-06-01$10,526
2026-07-01$10,551
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
4.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-7.84
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-35.15
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
0.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +3.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2017 · -0.8%
% 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
2017-0.8%
2018-0.7%
2019-0.6%
2020-0.6%
2021-0.8%
2022-0.4%
20232.9%
20243.5%
20252.1%
20261.1%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.20.10.10.20.20.10.21.1%
20250.20.20.20.20.20.10.10.20.10.20.10.22.1%
20240.30.30.30.30.30.30.30.30.30.10.30.33.5%
20230.00.20.30.20.20.20.20.30.30.30.30.42.9%
2022-0.1-0.0-0.1-0.0-0.1-0.1-0.1-0.0-0.20.10.10.1-0.4%
2021-0.1-0.0-0.1-0.1-0.1-0.0-0.1-0.1-0.1-0.1-0.0-0.1-0.8%
2020-0.0-0.1-0.20.00.0-0.0-0.0-0.0-0.1-0.0-0.1-0.1-0.6%
2019-0.1-0.0-0.0-0.1-0.1-0.0-0.1-0.0-0.1-0.1-0.0-0.6%
2018-0.1-0.1-0.0-0.1-0.1-0.1-0.1-0.0-0.1-0.0-0.0-0.1-0.7%
2017-0.1-0.1-0.1-0.0-0.0-0.1-0.1-0.1-0.1-0.0-0.1-0.1-0.8%
2016-0.1-0.1-0.0-0.1-0.0-0.3%

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
2.9%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-0.0%
VEA.US0.0%
VWO.US0.0%
QQQ.US-0.1%
VTV.US0.0%
IJR.US0.0%
QUAL.US0.3%
SHV.US99.0%
TLT.US-0.0%
LQD.US-0.0%
HYG.US-0.0%
GLD.US-0.0%
USO.US0.0%
VNQ.US0.0%
BTC-USD.CC0.0%
CPER.US-0.0%
VIX.INDX0.0%
UUP.US-0.0%
TIP.US0.1%
Idiosyncratic0.6%

Amundi ETF Govies 0-6 Months EuroMTS Investment Grade UCITS ETF DR ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
14.00%
88th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
52nd pct
larger than 52% of 1,446 ETFs we track
Holdings Count4
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 →
+0.2%
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 →
+0.8%
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 →
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 →
✦ 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 →
75
OversoldNeutralOverbought
Overbought
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+0.8%
50.0% retracement+1.0%
61.8% retracement+1.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

C3M.PA — 10-Year Return & Risk Profile

Amundi ETF Govies 0-6 Months EuroMTS Investment Grade UCITS ETF DR (C3M.PA) has delivered near-flat annualized growth of 0.6% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $10,574, representing a total return of 6%. Over this period, C3M.PA generated positive annual returns in 4 out of 10 calendar years (40%).

The best single calendar year for C3M.PA was 2024, with a return of +3.5%. The worst year was 2017, when the asset declined 0.8%. 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 -7.84 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.

C3M.PA — Drawdown, Volatility & Downside Risk

C3M.PA's annualized volatility of 0.5% is classified as very low 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 4.4% — a shallow correction. 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 4% drawdown, for example, requires a 5% gain just to break even.

When evaluating C3M.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.

C3M.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 99.0% of C3M.PA's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, C3M.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 C3M.PA allocation.

The second-largest macro driver is US Quality Factor, contributing 0.3% of variance. 0.6% of C3M.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 C3M.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding C3M.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 Amundi ETF Govies 0-6 Months EuroMTS Investment Grade UCITS ETF DR a high-risk investment?

Amundi ETF Govies 0-6 Months EuroMTS Investment Grade UCITS ETF DR (C3M.PA) has an annualized volatility of 2.9% and experienced a maximum drawdown of 4.4% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of C3M.PA?

Over the past 10 years, C3M.PA has generated a Compound Annual Growth Rate (CAGR) of 0.6%. A $10,000 investment would have grown to approximately $10,574. It has had a positive return in 40% of calendar years.

What is C3M.PA's Sharpe ratio?

C3M.PA has a Sharpe ratio of -7.84 and a Sortino ratio of -35.15 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 C3M.PA's dividend yield?

C3M.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 C3M.PA above its 200-day moving average?

C3M.PA is currently above its 200-day moving average by 0.8%. 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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