Asset Allocation
| Position | Category/Sector | Target Weight |
|---|---|---|
CNYA iShares MSCI China A ETF | China Equities | 50% |
MCHI iShares MSCI China ETF | China Equities | 50% |
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Add portfolio to the optimizer to find optimal allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
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Performance Chart
The chart shows the growth of an initial investment of $10,000 in China, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends. The portfolio is rebalanced Every 3 months.
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Returns By Period
| Position | 1D | 1M | YTD | 6M | 1Y | 3Y* | 5Y* | 10Y* |
|---|---|---|---|---|---|---|---|---|
Benchmark S&P 500 Index | 0.30% | 0.09% | 8.18% | 8.17% | 23.42% | 19.88% | 11.91% | 13.45% |
Portfolio China | -0.96% | -5.84% | -3.18% | -3.12% | 14.62% | 9.41% | -3.61% | — |
| Portfolio components: | ||||||||
CNYA iShares MSCI China A ETF | -0.99% | -4.23% | 4.11% | 6.49% | 30.18% | 9.91% | -1.67% | — |
MCHI iShares MSCI China ETF | -0.94% | -7.53% | -10.22% | -12.26% | 0.38% | 8.32% | -6.07% | 4.43% |
Monthly Returns
Based on dividend-adjusted daily data since Jun 15, 2016, China's average daily return is +0.03%, while the average monthly return is +0.62%. At this rate, an investment would double in approximately 9.3 years.
Historically, 56% of months were positive and 44% were negative. The best month was Nov 2022 with a return of +23.8%, while the worst month was Oct 2022 at -13.0%. The longest winning streak lasted 13 consecutive months, and the longest losing streak was 6 months.
On a daily basis, China closed higher 50% of trading days. The best single day was Mar 16, 2022 with a return of +15.0%, while the worst single day was Oct 8, 2024 at -12.9%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 2.70% | -1.23% | -5.14% | 5.15% | -1.17% | -3.17% | -3.18% | ||||||
| 2025 | 0.91% | 6.38% | 0.94% | -4.25% | 2.25% | 4.76% | 3.80% | 9.77% | 4.93% | -1.79% | -1.58% | 0.69% | 29.32% |
| 2024 | -9.24% | 8.15% | 0.87% | 3.91% | 1.88% | -3.41% | -0.36% | -0.64% | 21.60% | -3.41% | -2.18% | -0.63% | 14.43% |
| 2023 | 11.67% | -8.06% | 2.11% | -2.80% | -8.82% | 1.18% | 8.94% | -8.87% | -2.54% | -3.74% | 1.47% | -1.92% | -12.86% |
| 2022 | -4.06% | -2.34% | -9.86% | -7.47% | 3.36% | 9.30% | -9.12% | -2.23% | -11.75% | -13.00% | 23.77% | 1.14% | -24.60% |
| 2021 | 5.85% | -0.71% | -6.04% | 1.79% | 3.27% | -0.55% | -9.55% | 0.06% | -1.70% | 2.06% | -2.70% | -0.81% | -9.52% |
Benchmark Metrics
China has an annualized alpha of -1.26%, beta of 0.66, and R2 of 0.25 versus S&P 500 Index. Calculated based on daily prices since June 15, 2016.
- This portfolio participated in 65.89% of S&P 500 Index downside but only 46.91% of its upside - more exposed to losses than it benefited from rallies.
- Beta of 0.66 may look defensive, but with R2 of 0.25 this portfolio is largely uncorrelated with S&P 500 Index - low beta reflects independence, not downside protection. See the Volatility section for a true picture of this portfolio's risk.
- R2 of 0.25 means this portfolio moves largely independently of S&P 500 Index - capture ratios reflect limited market correlation rather than active downside protection. Consider using a more representative benchmark.
- Alpha
- -1.26%
- Beta
- 0.66
- R²
- 0.25
- Upside Capture
- 46.91%
- Downside Capture
- 65.89%
Expense Ratio
China has an expense ratio of 0.60%, placing it in the medium range. Below, you can find the expense ratios of the portfolio's funds side by side and easily compare their relative costs.
Return for Risk
Risk / Return Rank
China ranks 12 for risk / return — in the bottom 12% of Portfolios on our site. This means you're taking on significantly more risk than the returns justify. Consider whether the potential upside is worth the volatility, or explore alternatives with better risk / return profiles.
Return / Risk — by metrics
The table below presents risk-adjusted performance metrics for China and compares them with S&P 500 Index.
| Portfolio | Benchmark | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | 0.83 | 1.94 | -1.11 |
| Sortino ratioReturn per unit of downside risk | 1.24 | 2.63 | -1.38 |
| Omega ratioGain probability vs. loss probability | 1.16 | 1.35 | -0.20 |
| Calmar ratioReturn relative to maximum drawdown | 1.36 | 2.59 | -1.23 |
| Martin ratioReturn relative to average drawdown | 3.59 | 11.84 | -8.26 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
How much return does each position deliver for the risk it carries? Higher values mean better reward for the risk taken.
| Position | Risk / Return Rank | Sharpe ratio | Sortino ratio | Omega ratio | Calmar ratio | Martin ratio |
|---|---|---|---|---|---|---|
CNYA iShares MSCI China A ETF | 64 | 1.71 | 2.39 | 1.31 | 3.99 | 11.48 |
MCHI iShares MSCI China ETF | 9 | 0.02 | 0.17 | 1.02 | 0.02 | 0.04 |
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Dividends
Dividend yield
China provided a 2.10% dividend yield over the last twelve months.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Portfolio | 2.10% | 2.02% | 2.41% | 3.45% | 2.23% | 1.08% | 1.05% | 1.33% | 2.76% | 1.27% | 1.52% | 1.38% |
| Portfolio components: | ||||||||||||
CNYA iShares MSCI China A ETF | 1.84% | 1.92% | 2.51% | 4.23% | 2.69% | 1.11% | 1.06% | 1.21% | 3.92% | 0.97% | 1.38% | 0.00% |
MCHI iShares MSCI China ETF | 2.36% | 2.12% | 2.31% | 2.66% | 1.78% | 1.04% | 1.04% | 1.45% | 1.60% | 1.56% | 1.66% | 2.76% |
Drawdowns
Drawdowns Chart
The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.
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Worst Drawdowns
The table below displays the maximum drawdowns of the China. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.
The maximum drawdown for the China was 55.23%, occurring on Feb 2, 2024. The portfolio has not yet recovered.
The current China drawdown is 27.84%.
Related event | Drawdown | Fall | Recovery | Underwater |
|---|---|---|---|---|
2024 bear market2024 | -55.23%Feb 2024 | 2y 11mo | — | 5y 3moFeb 2021 - now |
2019 bear market2019 | -33.69%Jan 2019 | 11mo 9d | 1y 6mo | 2y 5moJan 2018 - Jul 2020 |
2016 pullback2016 | -8.84%Dec 2016 | 3mo 6d | 1mo 25d | 5mo 1dSep 2016 - Feb 2017 |
2020 pullback2020 | -7.30%Sep 2020 | 8d | 1mo 2d | 1mo 10dSep 2020 - Oct 2020 |
2017 pullback2017 | -7.13%Dec 2017 | 15d | 27d | 1mo 12dNov 2017 - Jan 2018 |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
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Diversification
Diversification Metrics
Number of Effective Assets
The portfolio contains 2 assets, with an effective number of assets of 2.00, reflecting the diversification based on asset allocation. Your capital is spread almost evenly across your holdings, indicating a well-balanced allocation. Note that true diversification also depends on the correlations between assets — check the diversification ratio below.
Diversification Ratio
1Y | 3Y | 5Y | All Time | |
|---|---|---|---|---|
Diversification Ratio | 1.06 | 1.05 | 1.05 | 1.06 |
The portfolio has a diversification ratio of 1.06, placing it in the bottom quartile across portfolios — positions are highly correlated. Consider adding assets from different classes or sectors to reduce risk.
China correlation to the S&P 500 Index
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.47 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.36 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.38 |
Correlation (All Time) Calculated using the full available price history since Jun 15, 2016 | 0.48 |
Benchmark Correlations
Correlation vs. S&P 500 Index. MCHI has the highest benchmark correlation at 0.52, while CNYA has the lowest at 0.38.
Asset Correlations Table
Find what China is missing
See which holdings overlap, where China is concentrated, and which low-correlation assets could fill the gaps.
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