Lyxor UCITS MSCI AC Asia-Pacific Ex Japan C-E (AEJ.PA)

10-Year Study

AEJ.PA · FR · ETF

About Lyxor UCITS MSCI AC Asia-Pacific Ex Japan C-E (AEJ.PA)

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

Fundamental Snapshot

Lyxor UCITS MSCI AC Asia-Pacific Ex Japan C-E (AEJ.PA) charges an annual expense ratio of low annual fee, manages approximately $795.7M in net assets, and maintains a portfolio of 1 holdings. At the portfolio level, its underlying basket trades at 2.35x sales and 2.47x book value.

Executive Summary: Lyxor UCITS MSCI AC Asia-Pacific Ex Japan C-E has compounded at 8.1% annually over the last 10 years, with a maximum drawdown of 23.4% and an annualized volatility of 15.9%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+34.7%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+19.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.2%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.1%

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$10,124
2016-09-01$10,354
2016-10-01$10,340
2016-11-01$10,481
2016-12-01$10,327
2017-01-01$10,737
2017-02-01$11,264
2017-03-01$11,559
2017-04-01$11,501
2017-05-01$11,380
2017-06-01$11,468
2017-07-01$11,626
2017-08-01$11,631
2017-09-01$11,697
2017-10-01$12,324
2017-11-01$12,147
2017-12-01$12,364
2018-01-01$12,714
2018-02-01$12,271
2018-03-01$12,047
2018-04-01$12,293
2018-05-01$12,614
2018-06-01$12,124
2018-07-01$12,259
2018-08-01$12,110
2018-09-01$11,950
2018-10-01$11,039
2018-11-01$11,536
2018-12-01$11,184
2019-01-01$11,957
2019-02-01$12,184
2019-03-01$12,583
2019-04-01$12,797
2019-05-01$11,938
2019-06-01$12,454
2019-07-01$12,500
2019-08-01$12,071
2019-09-01$12,487
2019-10-01$12,584
2019-11-01$12,836
2019-12-01$13,398
2020-01-01$12,790
2020-02-01$12,344
2020-03-01$10,845
2020-04-01$11,817
2020-05-01$11,562
2020-06-01$12,479
2020-07-01$12,685
2020-08-01$13,007
2020-09-01$13,111
2020-10-01$13,455
2020-11-01$14,318
2020-12-01$14,905
2021-01-01$15,598
2021-02-01$15,854
2021-03-01$15,996
2021-04-01$15,847
2021-05-01$15,845
2021-06-01$16,331
2021-07-01$15,327
2021-08-01$15,541
2021-09-01$15,242
2021-10-01$15,552
2021-11-01$15,199
2021-12-01$15,522
2022-01-01$15,105
2022-02-01$14,882
2022-03-01$14,807
2022-04-01$14,809
2022-05-01$14,527
2022-06-01$14,101
2022-07-01$14,458
2022-08-01$14,507
2022-09-01$13,189
2022-10-01$12,503
2022-11-01$14,041
2022-12-01$13,468
2023-01-01$14,461
2023-02-01$13,724
2023-03-01$13,806
2023-04-01$13,361
2023-05-01$13,327
2023-06-01$13,575
2023-07-01$14,174
2023-08-01$13,463
2023-09-01$13,406
2023-10-01$12,855
2023-11-01$13,394
2023-12-01$13,783
2024-01-01$13,468
2024-02-01$14,000
2024-03-01$14,438
2024-04-01$14,592
2024-05-01$14,706
2024-06-01$15,491
2024-07-01$15,440
2024-08-01$15,289
2024-09-01$16,234
2024-10-01$16,042
2024-11-01$16,208
2024-12-01$16,157
2025-01-01$16,545
2025-02-01$16,388
2025-03-01$15,719
2025-04-01$15,128
2025-05-01$15,822
2025-06-01$16,303
2025-07-01$17,025
2025-08-01$17,016
2025-09-01$17,878
2025-10-01$18,819
2025-11-01$18,383
2025-12-01$18,553
2026-01-01$19,675
2026-02-01$20,951
2026-03-01$18,956
2026-04-01$21,431
2026-05-01$23,356
2026-06-01$23,816
2026-07-01$22,338
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
23.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.35
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.53
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
14.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · +20.4%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -13.2%
% 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
201719.7%
2018-9.5%
201919.8%
202011.2%
20214.1%
2022-13.2%
20232.3%
202417.2%
202514.8%
202620.4%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20266.06.5-9.513.19.02.0-6.220.4%
20252.4-0.9-4.1-3.84.63.04.4-0.15.15.3-2.30.914.8%
2024-2.34.03.11.10.85.3-0.3-1.06.2-1.21.0-0.317.2%
20237.4-5.10.6-3.2-0.31.94.4-5.0-0.4-4.14.22.92.3%
2022-2.7-1.5-0.50.0-1.9-2.92.50.3-9.1-5.212.3-4.1-13.2%
20214.71.60.9-0.9-0.03.1-6.11.4-1.92.0-2.32.14.1%
2020-4.5-3.5-12.19.0-2.27.91.62.50.82.66.44.111.2%
20196.91.93.31.7-6.74.30.4-3.43.40.82.04.419.8%
20182.8-3.5-1.82.02.6-3.91.1-1.2-1.3-7.64.5-3.0-9.5%
20174.04.92.6-0.5-1.00.81.40.00.65.4-1.41.819.7%
20161.22.3-0.11.4-1.53.3%

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
15.9%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-11.2%
VEA.US12.4%
VWO.US52.7%
QQQ.US11.7%
VTV.US3.8%
IJR.US2.7%
QUAL.US-2.5%
SHV.US8.0%
TLT.US0.1%
LQD.US7.0%
HYG.US-3.0%
GLD.US0.5%
USO.US-0.3%
VNQ.US2.2%
BTC-USD.CC-0.1%
CPER.US-0.3%
VIX.INDX-0.8%
UUP.US11.0%
TIP.US0.6%
Idiosyncratic5.4%

Lyxor UCITS MSCI AC Asia-Pacific Ex Japan C-E ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Fund Size vs Peers
50th pct
larger than 50% of 1,446 ETFs we track
Holdings Count1
Distribution Yield
0.0%
10th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E14.02x
Portfolio Price-to-Sales2.35x
Portfolio Price-to-Book2.47x

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 →
-3.5%
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 →
+8.5%
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 →
9.7% 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 →
1.01
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 →
43
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+3.0%
50.0% retracement+7.7%
61.8% retracement+12.8%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

AEJ.PA — 10-Year Return & Risk Profile

Lyxor UCITS MSCI AC Asia-Pacific Ex Japan C-E (AEJ.PA) has delivered solid annualized growth of 8.1% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $21,865, representing a total return of 119%. Over this period, AEJ.PA generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for AEJ.PA was 2026, with a return of +20.4%. The worst year was 2022, when the asset declined 13.2%. 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 0.35 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.

AEJ.PA — Drawdown, Volatility & Downside Risk

AEJ.PA's annualized volatility of 14.3% 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 23.4% — 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 31% gain just to break even.

When evaluating AEJ.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.

AEJ.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 52.7% of AEJ.PA's return variance to Emerging Market Equities. This means that when Emerging Market Equities rises or falls sharply, AEJ.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 AEJ.PA allocation.

The second-largest macro driver is Developed Market Equities (ex-US), contributing 12.4% of variance. 5.4% of AEJ.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 AEJ.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding AEJ.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 Lyxor UCITS MSCI AC Asia-Pacific Ex Japan C-E a high-risk investment?

Lyxor UCITS MSCI AC Asia-Pacific Ex Japan C-E (AEJ.PA) has an annualized volatility of 15.9% and experienced a maximum drawdown of 23.4% over the last 10 years. Its primary macro risk driver is VWO.US.

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

Over the past 10 years, AEJ.PA has generated a Compound Annual Growth Rate (CAGR) of 8.1%. A $10,000 investment would have grown to approximately $21,865. It has had a positive return in 80% of calendar years.

What is AEJ.PA's Sharpe ratio?

AEJ.PA has a Sharpe ratio of 0.35 and a Sortino ratio of 0.53 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 AEJ.PA's dividend yield?

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

AEJ.PA is currently above its 200-day moving average by 8.5%. 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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