Lyxor UCITS MSCI Asia Ex Japan C-EUR (APX.PA)

10-Year Study

APX.PA · FR · ETF

About Lyxor UCITS MSCI Asia Ex Japan C-EUR (APX.PA)

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

Fundamental Snapshot

Lyxor UCITS MSCI Asia Ex Japan C-EUR (APX.PA) charges an annual expense ratio of 50.00%, manages approximately $400.4M in net assets, and maintains a portfolio of 1 holdings. At the portfolio level, its underlying basket trades at 2.28x sales and 2.46x book value.

Executive Summary: Lyxor UCITS MSCI Asia Ex Japan C-EUR has compounded at 8.4% annually over the last 10 years, with a maximum drawdown of 27.7% 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 →
+37.7%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+21.0%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.3%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.4%

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$10,263
2016-09-01$10,459
2016-10-01$10,522
2016-11-01$10,491
2016-12-01$10,352
2017-01-01$10,763
2017-02-01$11,295
2017-03-01$11,592
2017-04-01$11,589
2017-05-01$11,671
2017-06-01$11,646
2017-07-01$12,091
2017-08-01$11,958
2017-09-01$12,080
2017-10-01$12,810
2017-11-01$12,640
2017-12-01$12,811
2018-01-01$13,288
2018-02-01$12,787
2018-03-01$12,593
2018-04-01$12,707
2018-05-01$13,053
2018-06-01$12,315
2018-07-01$12,708
2018-08-01$12,496
2018-09-01$12,296
2018-10-01$10,974
2018-11-01$11,823
2018-12-01$11,382
2019-01-01$12,304
2019-02-01$12,602
2019-03-01$12,904
2019-04-01$13,132
2019-05-01$12,104
2019-06-01$12,660
2019-07-01$12,646
2019-08-01$12,235
2019-09-01$12,573
2019-10-01$12,777
2019-11-01$13,253
2019-12-01$13,746
2020-01-01$13,219
2020-02-01$12,708
2020-03-01$11,392
2020-04-01$12,353
2020-05-01$12,045
2020-06-01$12,908
2020-07-01$13,265
2020-08-01$13,576
2020-09-01$13,559
2020-10-01$14,097
2020-11-01$14,906
2020-12-01$15,510
2021-01-01$16,290
2021-02-01$16,514
2021-03-01$16,618
2021-04-01$16,519
2021-05-01$16,373
2021-06-01$16,916
2021-07-01$15,805
2021-08-01$15,995
2021-09-01$15,705
2021-10-01$15,913
2021-11-01$15,671
2021-12-01$15,880
2022-01-01$15,636
2022-02-01$15,191
2022-03-01$14,788
2022-04-01$14,414
2022-05-01$14,564
2022-06-01$14,417
2022-07-01$14,662
2022-08-01$14,602
2022-09-01$13,196
2022-10-01$12,225
2022-11-01$13,610
2022-12-01$13,610
2023-01-01$14,369
2023-02-01$13,643
2023-03-01$13,816
2023-04-01$13,260
2023-05-01$13,349
2023-06-01$13,553
2023-07-01$14,239
2023-08-01$13,674
2023-09-01$13,454
2023-10-01$12,887
2023-11-01$13,306
2023-12-01$13,660
2024-01-01$13,265
2024-02-01$13,855
2024-03-01$14,355
2024-04-01$14,603
2024-05-01$14,671
2024-06-01$15,504
2024-07-01$15,393
2024-08-01$15,232
2024-09-01$16,236
2024-10-01$16,014
2024-11-01$16,053
2024-12-01$16,288
2025-01-01$16,466
2025-02-01$16,475
2025-03-01$15,927
2025-04-01$15,245
2025-05-01$15,960
2025-06-01$16,504
2025-07-01$17,269
2025-08-01$17,228
2025-09-01$18,282
2025-10-01$19,367
2025-11-01$18,906
2025-12-01$18,973
2026-01-01$20,239
2026-02-01$21,463
2026-03-01$19,385
2026-04-01$22,120
2026-05-01$24,400
2026-06-01$24,948
2026-07-01$23,081
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
27.7%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.36
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.54
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
15.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2017 · +23.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -14.3%
% 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
201723.8%
2018-11.2%
201920.8%
202012.8%
20212.4%
2022-14.3%
20230.4%
202419.2%
202516.5%
202621.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20266.76.0-9.714.110.32.2-7.521.7%
20251.10.1-3.3-4.34.73.44.6-0.26.15.9-2.40.416.5%
2024-2.94.53.61.70.55.7-0.7-1.06.6-1.40.21.519.2%
20235.6-5.11.3-4.00.71.55.1-4.0-1.6-4.23.22.70.4%
2022-1.5-2.9-2.7-2.51.0-1.01.7-0.4-9.6-7.411.30.0-14.3%
20215.01.40.6-0.6-0.93.3-6.61.2-1.81.3-1.51.32.4%
2020-3.8-3.9-10.48.4-2.57.22.82.3-0.14.05.74.112.8%
20198.12.42.41.8-7.84.6-0.1-3.22.81.63.73.720.8%
20183.7-3.8-1.50.92.7-5.73.2-1.7-1.6-10.77.7-3.7-11.2%
20174.04.92.6-0.00.7-0.23.8-1.11.06.0-1.31.423.8%
20162.61.90.6-0.3-1.33.5%

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-10.1%
VEA.US8.6%
VWO.US67.7%
QQQ.US10.5%
VTV.US4.1%
IJR.US1.6%
QUAL.US-0.8%
SHV.US0.1%
TLT.US3.0%
LQD.US2.1%
HYG.US-2.0%
GLD.US-0.1%
USO.US-0.1%
VNQ.US-0.9%
BTC-USD.CC-0.4%
CPER.US0.6%
VIX.INDX-1.2%
UUP.US10.1%
TIP.US-0.2%
Idiosyncratic7.5%

Lyxor UCITS MSCI Asia Ex Japan C-EUR ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
50.00%
99th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
36th pct
larger than 36% 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/E13.63x
Portfolio Price-to-Sales2.28x
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 →
-4.3%
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 →
+8.6%
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 →
11.4% 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 →
1.02
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+2.1%
50.0% retracement+7.2%
61.8% retracement+12.8%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

APX.PA — 10-Year Return & Risk Profile

Lyxor UCITS MSCI Asia Ex Japan C-EUR (APX.PA) has delivered solid annualized growth of 8.4% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $22,373, representing a total return of 124%. Over this period, APX.PA generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for APX.PA was 2017, with a return of +23.8%. The worst year was 2022, when the asset declined 14.3%. 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 0.36 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.

APX.PA — Drawdown, Volatility & Downside Risk

APX.PA's annualized volatility of 15.1% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in APX.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 27.7% — 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 28% drawdown, for example, requires a 38% gain just to break even.

When evaluating APX.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.

APX.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 67.7% of APX.PA's return variance to Emerging Market Equities. This means that when Emerging Market Equities rises or falls sharply, APX.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 APX.PA allocation.

The second-largest macro driver is US Growth / Technology, contributing 10.5% of variance. 7.5% of APX.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 APX.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding APX.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 Asia Ex Japan C-EUR a high-risk investment?

Lyxor UCITS MSCI Asia Ex Japan C-EUR (APX.PA) has an annualized volatility of 15.9% and experienced a maximum drawdown of 27.7% over the last 10 years. Its primary macro risk driver is VWO.US.

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

Over the past 10 years, APX.PA has generated a Compound Annual Growth Rate (CAGR) of 8.4%. A $10,000 investment would have grown to approximately $22,373. It has had a positive return in 80% of calendar years.

What is APX.PA's Sharpe ratio?

APX.PA has a Sharpe ratio of 0.36 and a Sortino ratio of 0.54 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 APX.PA's dividend yield?

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

APX.PA is currently above its 200-day moving average by 8.6%. 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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