Amundi Index Solutions - Amundi Global Emerging Bond Markit IBOXX UCITS ETF DR - C (AGEB.PA)

10-Year Study

AGEB.PA · FR · ETF

About Amundi Index Solutions - Amundi Global Emerging Bond Markit IBOXX UCITS ETF DR - C (AGEB.PA)

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

Fundamental Snapshot

Amundi Index Solutions - Amundi Global Emerging Bond Markit IBOXX UCITS ETF DR - C (AGEB.PA) charges an annual expense ratio of 30.00%, manages approximately $181.1M in net assets, and maintains a portfolio of 9 holdings.

Executive Summary: Amundi Index Solutions - Amundi Global Emerging Bond Markit IBOXX UCITS ETF DR - C has compounded at 1.5% annually over the last 10 years, with a maximum drawdown of 24.1% and an annualized volatility of 9.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+5.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.6%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+1.1%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+1.5%

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$10,180
2016-09-01$10,173
2016-10-01$9,900
2016-11-01$9,329
2016-12-01$9,430
2017-01-01$9,604
2017-02-01$9,827
2017-03-01$9,878
2017-04-01$10,085
2017-05-01$10,146
2017-06-01$10,077
2017-07-01$10,112
2017-08-01$10,263
2017-09-01$10,243
2017-10-01$10,195
2017-11-01$10,145
2017-12-01$10,238
2018-01-01$10,142
2018-02-01$9,898
2018-03-01$9,906
2018-04-01$9,727
2018-05-01$9,567
2018-06-01$9,529
2018-07-01$9,726
2018-08-01$9,457
2018-09-01$9,719
2018-10-01$9,538
2018-11-01$9,556
2018-12-01$9,744
2019-01-01$10,153
2019-02-01$10,210
2019-03-01$10,319
2019-04-01$10,304
2019-05-01$10,296
2019-06-01$10,798
2019-07-01$10,987
2019-08-01$10,917
2019-09-01$10,858
2019-10-01$10,855
2019-11-01$10,807
2019-12-01$11,137
2020-01-01$11,286
2020-02-01$10,977
2020-03-01$9,593
2020-04-01$9,918
2020-05-01$10,298
2020-06-01$10,623
2020-07-01$11,019
2020-08-01$10,966
2020-09-01$10,849
2020-10-01$10,840
2020-11-01$11,388
2020-12-01$11,604
2021-01-01$11,361
2021-02-01$10,908
2021-03-01$10,816
2021-04-01$11,034
2021-05-01$11,214
2021-06-01$11,377
2021-07-01$11,419
2021-08-01$11,523
2021-09-01$11,218
2021-10-01$11,226
2021-11-01$11,072
2021-12-01$11,309
2022-01-01$10,885
2022-02-01$10,552
2022-03-01$10,442
2022-04-01$9,791
2022-05-01$9,817
2022-06-01$9,184
2022-07-01$9,436
2022-08-01$9,444
2022-09-01$8,809
2022-10-01$8,864
2022-11-01$9,523
2022-12-01$9,503
2023-01-01$9,733
2023-02-01$9,524
2023-03-01$9,700
2023-04-01$9,776
2023-05-01$9,549
2023-06-01$9,765
2023-07-01$9,893
2023-08-01$9,709
2023-09-01$9,356
2023-10-01$9,206
2023-11-01$9,864
2023-12-01$10,398
2024-01-01$10,176
2024-02-01$10,262
2024-03-01$10,416
2024-04-01$10,061
2024-05-01$10,326
2024-06-01$10,380
2024-07-01$10,594
2024-08-01$10,920
2024-09-01$11,064
2024-10-01$10,665
2024-11-01$10,733
2024-12-01$10,452
2025-01-01$10,617
2025-02-01$10,822
2025-03-01$10,755
2025-04-01$10,683
2025-05-01$10,680
2025-06-01$11,026
2025-07-01$11,094
2025-08-01$11,282
2025-09-01$11,478
2025-10-01$11,663
2025-11-01$11,729
2025-12-01$11,767
2026-01-01$11,765
2026-02-01$11,975
2026-03-01$11,540
2026-04-01$11,893
2026-05-01$11,964
2026-06-01$12,055
2026-07-01$11,830
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
24.1%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.24
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.30
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
9.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +14.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -16.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

View full annual returns data
YearReturn
20178.6%
2018-4.8%
201914.3%
20204.2%
2021-2.5%
2022-16.0%
20239.4%
20240.5%
202512.6%
20260.5%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-0.01.8-3.63.10.60.8-1.90.5%
20251.61.9-0.6-0.7-0.03.20.61.71.71.60.60.312.6%
2024-2.10.91.5-3.42.60.52.13.11.3-3.60.6-2.60.5%
20232.4-2.11.80.8-2.32.31.3-1.9-3.6-1.67.15.49.4%
2022-3.7-3.1-1.0-6.20.3-6.42.70.1-6.70.67.4-0.2-16.0%
2021-2.1-4.0-0.82.01.61.50.40.9-2.60.1-1.42.1-2.5%
20201.3-2.7-12.63.43.83.23.7-0.5-1.1-0.15.11.94.2%
20194.20.61.1-0.1-0.14.91.8-0.6-0.5-0.0-0.43.114.3%
2018-0.9-2.40.1-1.8-1.6-0.42.1-2.82.8-1.90.22.0-4.8%
20171.82.30.52.10.6-0.70.31.5-0.2-0.5-0.50.98.6%
20161.8-0.1-2.7-5.81.1-5.7%

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
9.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US23.6%
VEA.US-1.6%
VWO.US3.3%
QQQ.US-4.5%
VTV.US-4.9%
IJR.US0.2%
QUAL.US7.0%
SHV.US4.2%
TLT.US27.9%
LQD.US8.1%
HYG.US13.8%
GLD.US-0.7%
USO.US-0.4%
VNQ.US1.5%
BTC-USD.CC-1.2%
CPER.US1.9%
VIX.INDX-4.2%
UUP.US18.5%
TIP.US-3.6%
Idiosyncratic11.2%

Amundi Index Solutions - Amundi Global Emerging Bond Markit IBOXX UCITS ETF DR - C 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
22nd pct
larger than 22% of 1,446 ETFs we track
Holdings Count9
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 →
-1.3%
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 →
+0.0%
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 →
2.2% 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 →
1.12
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 →
31
OversoldNeutralOverbought
Neutral
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+1.8%
61.8% retracement+2.7%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

AGEB.PA — 10-Year Return & Risk Profile

Amundi Index Solutions - Amundi Global Emerging Bond Markit IBOXX UCITS ETF DR - C (AGEB.PA) has delivered near-flat annualized growth of 1.5% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $11,659, representing a total return of 17%. Over this period, AGEB.PA generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for AGEB.PA was 2019, with a return of +14.3%. The worst year was 2022, when the asset declined 16.0%. 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 -0.24 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.

AGEB.PA — Drawdown, Volatility & Downside Risk

AGEB.PA's annualized volatility of 9.6% is classified as 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 24.1% — 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 24% drawdown, for example, requires a 32% gain just to break even.

When evaluating AGEB.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.

AGEB.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 27.9% of AGEB.PA's return variance to Long-Term US Treasury Bonds. This means that when Long-Term US Treasury Bonds rises or falls sharply, AGEB.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 AGEB.PA allocation.

The second-largest macro driver is US Equity (broad market), contributing 23.6% of variance. 11.2% of AGEB.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 AGEB.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding AGEB.PA alongside assets with low correlation to Long-Term US Treasury Bonds — 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 Global Emerging Bond Markit IBOXX UCITS ETF DR - C a high-risk investment?

Amundi Index Solutions - Amundi Global Emerging Bond Markit IBOXX UCITS ETF DR - C (AGEB.PA) has an annualized volatility of 9.3% and experienced a maximum drawdown of 24.1% over the last 10 years. Its primary macro risk driver is TLT.US.

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

Over the past 10 years, AGEB.PA has generated a Compound Annual Growth Rate (CAGR) of 1.5%. A $10,000 investment would have grown to approximately $11,659. It has had a positive return in 70% of calendar years.

What is AGEB.PA's Sharpe ratio?

AGEB.PA has a Sharpe ratio of -0.24 and a Sortino ratio of -0.30 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 AGEB.PA's dividend yield?

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

AGEB.PA is currently above its 200-day moving average by 0.0%. 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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