MSFW vs. CNYA
MSFW (Roundhill MSFT WeeklyPay™ ETF) and CNYA (iShares MSCI China A ETF) are both exchange-traded funds - MSFW is a Derivative Income fund actively managed by Roundhill, while CNYA is a China Equities fund tracking the MSCI China A Inclusion Index. MSFW is actively managed, while CNYA is passively managed. At a correlation of -0.05, they often move in opposite directions. MSFW charges 0.99%/yr vs 0.60%/yr for CNYA.
Performance
MSFW vs. CNYA - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, MSFW achieves a -21.45% return, which is significantly lower than CNYA's 3.25% return.
MSFW
- 1D
- 1.71%
- 1M
- 1.75%
- 6M
- -15.87%
- YTD
- -21.45%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
CNYA
- 1D
- -2.70%
- 1M
- -5.39%
- 6M
- -0.46%
- YTD
- 3.25%
- 1Y
- 24.03%
- 3Y*
- 9.14%
- 5Y*
- -1.47%
- 10Y*
- 5.27%
MSFW vs. CNYA - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
MSFW Roundhill MSFT WeeklyPay™ ETF | -21.45% | -7.80% |
CNYA iShares MSCI China A ETF | 3.25% | 15.81% |
Correlation
The correlation between MSFW and CNYA is -0.05, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.
| Correlation | |
|---|---|
Correlation (All Time) Calculated using the full available price history since Jul 24, 2025 | -0.05 |
MSFW vs. CNYA - Sectors Allocation Comparison
Sectors
MSFW
CNYA
Technology
Basic Materials
-
Communication Services
-
Consumer Cyclical
-
Consumer Defensive
-
Energy
-
Financial Services
-
Healthcare
-
Industrials
-
Real Estate
-
Utilities
-
Technology
MSFW
CNYA
Basic Materials
MSFW
-
CNYA
Communication Services
MSFW
-
CNYA
Consumer Cyclical
MSFW
-
CNYA
Consumer Defensive
MSFW
-
CNYA
Energy
MSFW
-
CNYA
Financial Services
MSFW
-
CNYA
Healthcare
MSFW
-
CNYA
Industrials
MSFW
-
CNYA
Real Estate
MSFW
-
CNYA
Utilities
MSFW
-
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
MSFW vs. CNYA — Risk / Return Rank
MSFW
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
CNYA
MSFW vs. CNYA - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Roundhill MSFT WeeklyPay™ ETF (MSFW) 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.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| MSFW | CNYA | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | — | — | |
| Sortino ratioReturn per unit of downside risk | — | — | |
| Omega ratioGain probability vs. loss probability | — | 1.22 | — |
| Calmar ratioReturn relative to maximum drawdown | — | 3.05 | — |
| Martin ratioReturn relative to average drawdown | — | 8.01 | — |
Loading charts...
Drawdowns
MSFW vs. CNYA - Drawdown Comparison
The maximum MSFW drawdown since its inception was -41.85%, smaller than the maximum CNYA drawdown of -49.49%. Use the drawdown chart below to compare losses from any high point for MSFW and CNYA.
Loading charts...
Drawdown Indicators
| MSFW | CNYA | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -41.85% | -49.49% | +7.64% |
Max Drawdown (1Y)Largest decline over 1 year | — | -7.91% | — |
Max Drawdown (3Y)Largest decline over 3 years | — | -33.35% | — |
Max Drawdown (5Y)Largest decline over 5 years | — | -44.65% | — |
Max Drawdown (10Y)Largest decline over 10 years | — | -49.49% | — |
Current DrawdownCurrent decline from peak | -32.08% | -18.21% | -13.87% |
Average DrawdownAverage peak-to-trough decline | -19.41% | -20.61% | +1.20% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | — | 3.01% | — |
Volatility
MSFW vs. CNYA - Volatility Comparison
Loading charts...
Volatility by Period
| MSFW | CNYA | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | — | 8.85% | — |
Volatility (6M)Calculated over the trailing 6-month period | — | 15.30% | — |
Volatility (1Y)Calculated over the trailing 1-year period | 33.58% | 19.74% | +13.84% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 33.58% | 24.07% | +9.51% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 33.58% | 23.61% | +9.97% |
MSFW vs. CNYA - Expense Ratio Comparison
MSFW has a 0.99% expense ratio, which is higher than CNYA's 0.60% expense ratio.
Dividends
MSFW vs. CNYA - Dividend Comparison
MSFW's dividend yield for the trailing twelve months is around 48.07%, more than CNYA's 1.82% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 |
|---|---|---|---|---|---|---|---|---|---|---|---|
CNYA iShares MSCI China A ETF | 1.82% | 1.92% | 2.51% | 4.23% | 2.69% | 1.11% | 1.06% | 1.21% | 3.92% | 0.97% | 1.38% |
MSFW Roundhill MSFT WeeklyPay™ ETF | 48.07% | 20.25% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
MSFW and CNYA have a correlation of -0.05, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
On fees, CNYA is cheaper at 0.60% per year. The better choice depends on whether you care most about return, fees, risk, or income.
CNYA is cheaper with a 0.60% expense ratio, compared with 0.99% for MSFW.
MSFW has the higher dividend yield at 48.07%, compared with 1.82% for CNYA.
MSFW is categorized as Derivative Income, while CNYA is China Equities. They also come from different issuers: Roundhill and iShares. Their fees differ too: 0.99% for MSFW and 0.60% for CNYA.
Find the right allocation for MSFW 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