KWEB vs. CNYA
KWEB (KraneShares CSI China Internet ETF) and CNYA (iShares MSCI China A ETF) are both China Equities funds - KWEB tracks the CSI Overseas China Internet Index while CNYA tracks the MSCI China A Inclusion Index. Both are passively managed. Over the past 5 years, KWEB returned -14.33%/yr vs -1.13%/yr for CNYA. A 0.60 correlation means they provide meaningful diversification when combined. KWEB charges 0.70%/yr vs 0.60%/yr for CNYA.
Performance
KWEB vs. CNYA - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, KWEB achieves a -20.32% return, which is significantly lower than CNYA's 8.91% return.
KWEB
- 1D
- -0.33%
- 1M
- -4.91%
- YTD
- -20.32%
- 6M
- -22.46%
- 1Y
- -15.17%
- 3Y*
- 4.22%
- 5Y*
- -14.33%
- 10Y*
- -0.18%
CNYA
- 1D
- -0.36%
- 1M
- 1.89%
- YTD
- 8.91%
- 6M
- 13.45%
- 1Y
- 36.38%
- 3Y*
- 11.15%
- 5Y*
- -1.13%
- 10Y*
- —
KWEB vs. CNYA - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
KWEB KraneShares CSI China Internet ETF | -20.32% | 23.55% | 12.01% | -9.06% | -17.24% | -49.01% | 58.23% | 29.92% | -33.80% | 69.73% |
CNYA iShares MSCI China A ETF | 8.91% | 26.48% | 10.78% | -13.76% | -26.51% | 3.53% | 41.54% | 35.95% | -26.56% | 30.99% |
Correlation
The correlation between KWEB and CNYA is 0.57, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.57 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.65 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.63 |
Correlation (All Time) Calculated using the full available price history since Jun 16, 2016 | 0.60 |
The correlation between KWEB and CNYA has been stable across timeframes, ranging from 0.57 to 0.65 - a consistent structural relationship.
KWEB vs. CNYA - Sectors Allocation Comparison
Sectors
KWEB
CNYA
Consumer Cyclical
Communication Services
Technology
Healthcare
Real Estate
Industrials
Consumer Defensive
Financial Services
Basic Materials
-
Energy
-
Utilities
-
Consumer Cyclical
KWEB
CNYA
Communication Services
KWEB
CNYA
Technology
KWEB
CNYA
Healthcare
KWEB
CNYA
Real Estate
KWEB
CNYA
Industrials
KWEB
CNYA
Consumer Defensive
KWEB
CNYA
Financial Services
KWEB
CNYA
Basic Materials
KWEB
-
CNYA
Energy
KWEB
-
CNYA
Utilities
KWEB
-
CNYA
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
KWEB vs. CNYA — Risk / Return Rank
KWEB
CNYA
KWEB vs. CNYA - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for KraneShares CSI China Internet ETF (KWEB) and iShares MSCI China A ETF (CNYA). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
| KWEB | CNYA | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -2.67 | ||
| Sortino ratioReturn per unit of downside risk | -3.59 | ||
| Omega ratioGain probability vs. loss probability | 0.92 | 1.38 | -0.46 |
| Calmar ratioReturn relative to maximum drawdown | -0.45 | 4.81 | -5.26 |
| Martin ratioReturn relative to average drawdown | -0.90 | 14.19 | -15.09 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
Loading charts...
Sharpe Ratios by Period
| KWEB | CNYA | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | -0.56 | 2.11 | -2.67 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | -0.30 | -0.05 | -0.25 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | -0.00 | — | — |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.06 | 0.27 | -0.21 |
Drawdowns
KWEB vs. CNYA - Drawdown Comparison
The maximum KWEB drawdown since its inception was -80.92%, which is greater than CNYA's maximum drawdown of -49.49%. Use the drawdown chart below to compare losses from any high point for KWEB and CNYA.
Loading charts...
Drawdown Indicators
| KWEB | CNYA | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -80.92% | -49.49% | -31.43% |
Max Drawdown (1Y)Largest decline over 1 year | -34.13% | -7.59% | -26.54% |
Max Drawdown (3Y)Largest decline over 3 years | -34.13% | -33.35% | -0.78% |
Max Drawdown (5Y)Largest decline over 5 years | -72.17% | -44.70% | -27.47% |
Max Drawdown (10Y)Largest decline over 10 years | -80.92% | — | — |
Current DrawdownCurrent decline from peak | -68.62% | -13.73% | -54.89% |
Average DrawdownAverage peak-to-trough decline | -35.25% | -20.68% | -14.57% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 16.97% | 2.57% | +14.40% |
Volatility
KWEB vs. CNYA - Volatility Comparison
KraneShares CSI China Internet ETF (KWEB) has a higher volatility of 11.53% compared to iShares MSCI China A ETF (CNYA) at 6.44%. This indicates that KWEB's price experiences larger fluctuations and is considered to be riskier than CNYA based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| KWEB | CNYA | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 11.53% | 6.44% | +5.09% |
Volatility (6M)Calculated over the trailing 6-month period | 20.09% | 12.23% | +7.86% |
Volatility (1Y)Calculated over the trailing 1-year period | 27.25% | 17.31% | +9.94% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 47.67% | 23.80% | +23.87% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 39.98% | 23.55% | +16.43% |
KWEB vs. CNYA - Expense Ratio Comparison
KWEB has a 0.70% expense ratio, which is higher than CNYA's 0.60% expense ratio.
Dividends
KWEB vs. CNYA - Dividend Comparison
KWEB's dividend yield for the trailing twelve months is around 7.73%, more than CNYA's 1.76% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
CNYA iShares MSCI China A ETF | 1.76% | 1.92% | 2.51% | 4.23% | 2.69% | 1.11% | 1.06% | 1.21% | 3.92% | 0.97% | 1.38% | 0.00% |
KWEB KraneShares CSI China Internet ETF | 7.73% | 6.16% | 3.51% | 1.71% | 0.00% | 7.07% | 0.29% | 0.08% | 3.40% | 0.58% | 1.19% | 0.46% |
Frequently Asked Questions
KWEB and CNYA have a correlation of 0.57, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
KWEB has higher volatility (11.53%) compared to CNYA (6.44%). In terms of maximum drawdown, KWEB dropped -80.92% vs CNYA's -49.49%.
On 5-year performance, CNYA leads with -1.13% vs -14.33% for KWEB. On fees, CNYA is cheaper at 0.60% per year. On volatility, CNYA has been the lower-risk option at 6.44%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 5-year period, CNYA has performed better with a -1.13% return vs -14.33%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
CNYA is cheaper with a 0.60% expense ratio, compared with 0.70% for KWEB.
KWEB has the higher dividend yield at 7.73%, compared with 1.76% for CNYA.
KWEB tracks CSI Overseas China Internet Index, while CNYA tracks MSCI China A Inclusion Index. They also come from different issuers: KraneShares and iShares. Their fees differ too: 0.70% for KWEB and 0.60% for CNYA.
CNYA currently has the higher Sharpe Ratio (2.11 vs -0.56), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
Find the right allocation for KWEB and CNYA
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer