iShares MSCI China A UCITS USD (36BZ.XETRA)

10-Year Study

36BZ.XETRA · DE · ETF

About iShares MSCI China A UCITS USD (36BZ.XETRA)

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Source: EODHD Financial Datasets
Fundamentals updated: Apr 26, 2026

Fundamental Snapshot

iShares MSCI China A UCITS USD (36BZ.XETRA) charges an annual expense ratio of 40.00%, manages approximately institutional assets in net assets, and maintains a portfolio of 10 holdings. At the portfolio level, its underlying basket trades at 1.55x sales and 1.79x book value.

Executive Summary: iShares MSCI China A UCITS USD has compounded at 5.1% annually over the last 10 years, with a maximum drawdown of 38.8% and an annualized volatility of 27.2%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+9.7%
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 →
-1.2%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+5.1%

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$10,422
2016-09-01$10,006
2016-10-01$10,260
2016-11-01$11,091
2016-12-01$10,282
2017-01-01$10,780
2017-02-01$11,167
2017-03-01$11,031
2017-04-01$10,511
2017-05-01$10,327
2017-06-01$10,783
2017-07-01$10,872
2017-08-01$11,053
2017-09-01$11,221
2017-10-01$11,754
2017-11-01$11,817
2017-12-01$11,814
2018-01-01$12,195
2018-02-01$11,775
2018-03-01$11,424
2018-04-01$11,239
2018-05-01$11,618
2018-06-01$10,447
2018-07-01$10,331
2018-08-01$9,702
2018-09-01$10,078
2018-10-01$9,401
2018-11-01$9,440
2018-12-01$9,039
2019-01-01$9,983
2019-02-01$11,246
2019-03-01$11,946
2019-04-01$12,012
2019-05-01$10,948
2019-06-01$11,514
2019-07-01$11,800
2019-08-01$11,522
2019-09-01$11,618
2019-10-01$11,687
2019-11-01$11,743
2019-12-01$12,402
2020-01-01$11,456
2020-02-01$12,277
2020-03-01$11,592
2020-04-01$12,328
2020-05-01$11,906
2020-06-01$12,994
2020-07-01$14,139
2020-08-01$14,653
2020-09-01$14,423
2020-10-01$15,054
2020-11-01$15,446
2020-12-01$15,937
2021-01-01$16,965
2021-02-01$16,882
2021-03-01$16,334
2021-04-01$16,499
2021-05-01$17,282
2021-06-01$17,571
2021-07-01$16,426
2021-08-01$16,600
2021-09-01$17,199
2021-10-01$17,460
2021-11-01$17,897
2021-12-01$18,075
2022-01-01$16,762
2022-02-01$17,190
2022-03-01$15,671
2022-04-01$14,925
2022-05-01$15,114
2022-06-01$17,098
2022-07-01$16,270
2022-08-01$15,828
2022-09-01$14,819
2022-10-01$13,248
2022-11-01$14,551
2022-12-01$14,232
2023-01-01$15,347
2023-02-01$14,933
2023-03-01$14,554
2023-04-01$14,049
2023-05-01$13,295
2023-06-01$12,967
2023-07-01$13,671
2023-08-01$12,766
2023-09-01$12,880
2023-10-01$12,337
2023-11-01$12,142
2023-12-01$11,795
2024-01-01$11,061
2024-02-01$12,082
2024-03-01$12,112
2024-04-01$12,548
2024-05-01$12,241
2024-06-01$11,954
2024-07-01$11,922
2024-08-01$11,441
2024-09-01$13,798
2024-10-01$13,624
2024-11-01$13,979
2024-12-01$14,144
2025-01-01$13,836
2025-02-01$13,960
2025-03-01$13,441
2025-04-01$12,398
2025-05-01$12,707
2025-06-01$12,715
2025-07-01$13,549
2025-08-01$14,938
2025-09-01$15,285
2025-10-01$15,552
2025-11-01$15,246
2025-12-01$15,593
2026-01-01$15,842
2026-02-01$16,248
2026-03-01$15,587
2026-04-01$16,673
2026-05-01$17,130
2026-06-01$17,929
2026-07-01$16,261
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
38.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.12
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.24
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
18.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +37.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -23.5%
% 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
201714.9%
2018-23.5%
201937.2%
202028.5%
202113.4%
2022-21.3%
2023-17.1%
202419.9%
202510.2%
20264.3%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20261.62.6-4.17.02.74.7-9.34.3%
2025-2.20.9-3.7-7.82.50.16.610.32.31.7-2.02.310.2%
2024-6.29.20.23.6-2.5-2.3-0.3-4.020.6-1.32.61.219.9%
20237.8-2.7-2.5-3.5-5.4-2.55.4-6.60.9-4.2-1.6-2.9-17.1%
2022-7.32.6-8.8-4.81.313.1-4.8-2.7-6.4-10.69.8-2.2-21.3%
20216.4-0.5-3.31.04.71.7-6.51.13.61.52.51.013.4%
2020-7.67.2-5.66.3-3.49.18.83.6-1.64.42.63.228.5%
201910.412.76.20.6-8.95.22.5-2.40.80.60.55.637.2%
20183.2-3.4-3.0-1.63.4-10.1-1.1-6.13.9-6.70.4-4.2-23.5%
20174.83.6-1.2-4.7-1.84.40.81.71.54.70.5-0.014.9%
20164.2-4.02.58.1-7.32.8%

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
27.2%
View full factor risk breakdown
FactorRisk Exposure
VTI.US6.2%
VEA.US-0.8%
VWO.US28.6%
QQQ.US-3.6%
VTV.US-1.0%
IJR.US0.9%
QUAL.US1.8%
SHV.US45.5%
TLT.US-0.5%
LQD.US1.0%
HYG.US0.3%
GLD.US-0.2%
USO.US0.0%
VNQ.US-0.6%
BTC-USD.CC0.1%
CPER.US-0.7%
VIX.INDX-0.4%
UUP.US6.6%
TIP.US3.1%
Idiosyncratic13.6%

iShares MSCI China A UCITS USD ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
40.00%
98th pct of 1250 ETFs · median 0.50%
Holdings Count10
Distribution Yield
0.0%

Portfolio Valuation Multiples

Portfolio P/E Ratio15.33x
Portfolio Forward P/E15.33x
Portfolio Price-to-Sales1.55x
Portfolio Price-to-Book1.79x

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 →
-4.7%
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 →
+0.3%
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 →
10.1% 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 →
42
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-0.4%
50.0% retracement+3.1%
61.8% retracement+6.8%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

36BZ.XETRA — 10-Year Return & Risk Profile

iShares MSCI China A UCITS USD (36BZ.XETRA) has delivered modest annualized growth of 5.1% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $16,388, representing a total return of 64%. Over this period, 36BZ.XETRA generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for 36BZ.XETRA was 2019, with a return of +37.2%. The worst year was 2018, when the asset declined 23.5%. 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 0.12 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.

36BZ.XETRA — Drawdown, Volatility & Downside Risk

36BZ.XETRA's annualized volatility of 18.5% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in 36BZ.XETRA 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 38.8% — 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 39% drawdown, for example, requires a 63% gain just to break even.

When evaluating 36BZ.XETRA 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.

36BZ.XETRA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 45.5% of 36BZ.XETRA's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, 36BZ.XETRA 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 36BZ.XETRA allocation.

The second-largest macro driver is Emerging Market Equities, contributing 28.6% of variance. 13.6% of 36BZ.XETRA'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 36BZ.XETRA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding 36BZ.XETRA 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 iShares MSCI China A UCITS USD a high-risk investment?

iShares MSCI China A UCITS USD (36BZ.XETRA) has an annualized volatility of 27.2% and experienced a maximum drawdown of 38.8% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of 36BZ.XETRA?

Over the past 10 years, 36BZ.XETRA has generated a Compound Annual Growth Rate (CAGR) of 5.1%. A $10,000 investment would have grown to approximately $16,388. It has had a positive return in 70% of calendar years.

What is 36BZ.XETRA's Sharpe ratio?

36BZ.XETRA has a Sharpe ratio of 0.12 and a Sortino ratio of 0.24 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 36BZ.XETRA's dividend yield?

36BZ.XETRA 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 36BZ.XETRA above its 200-day moving average?

36BZ.XETRA is currently above its 200-day moving average by 0.3%. 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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