AFTY vs. KWEB
AFTY (Pacer CSOP FTSE China A50 ETF) and KWEB (KraneShares CSI China Internet ETF) are both China Equities funds - AFTY tracks the FTSE China A 50 while KWEB tracks the CSI Overseas China Internet. Both are passively managed. A 0.54 correlation means they provide meaningful diversification when combined. AFTY charges 0.70%/yr vs 0.76%/yr for KWEB.
Performance
AFTY vs. KWEB - Performance Comparison
Loading charts...
Returns By Period
AFTY
- 1D
- —
- 1M
- —
- YTD
- —
- 6M
- —
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
KWEB
- 1D
- -3.92%
- 1M
- -4.79%
- YTD
- -20.06%
- 6M
- -22.24%
- 1Y
- -12.78%
- 3Y*
- 4.05%
- 5Y*
- -14.28%
- 10Y*
- 0.02%
AFTY vs. KWEB - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
AFTY Pacer CSOP FTSE China A50 ETF | 0.00% | 0.00% | 20.48% | -12.80% | -22.47% | -7.37% | 33.77% | 44.23% | -24.26% | 45.15% |
KWEB KraneShares CSI China Internet ETF | -20.06% | 23.55% | 12.01% | -9.06% | -17.24% | -49.01% | 58.23% | 29.92% | -33.80% | 69.73% |
Correlation
The correlation between AFTY and KWEB is 0.54, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (3Y) Calculated over the trailing 3-year period | 0.42 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.52 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.54 |
Correlation (All Time) Calculated using the full available price history since Mar 13, 2015 | 0.54 |
The correlation between AFTY and KWEB shifts across timeframes, from 0.42 (3 years) to 0.54 (10 years), reflecting how their relationship changes across market environments.
AFTY vs. KWEB - Sectors Allocation Comparison
Sectors
AFTY
KWEB
Financial Services
Basic Materials
-
Energy
-
Technology
Consumer Defensive
Industrials
Utilities
-
Communication Services
-
Consumer Cyclical
-
Healthcare
-
Real Estate
-
Financial Services
AFTY
KWEB
Basic Materials
AFTY
KWEB
-
Energy
AFTY
KWEB
-
Technology
AFTY
KWEB
Consumer Defensive
AFTY
KWEB
Industrials
AFTY
KWEB
Utilities
AFTY
KWEB
-
Communication Services
AFTY
-
KWEB
Consumer Cyclical
AFTY
-
KWEB
Healthcare
AFTY
-
KWEB
Real Estate
AFTY
-
KWEB
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
AFTY vs. KWEB — Risk / Return Rank
AFTY
KWEB
AFTY vs. KWEB - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Pacer CSOP FTSE China A50 ETF (AFTY) and KraneShares CSI China Internet ETF (KWEB). 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.
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
Loading charts...
Sharpe Ratios by Period
| AFTY | KWEB | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | — | -0.47 | — |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | — | -0.30 | — |
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 | — |
Drawdowns
AFTY vs. KWEB - Drawdown Comparison
Loading charts...
Drawdown Indicators
| AFTY | KWEB | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | — | -80.92% | — |
Max Drawdown (1Y)Largest decline over 1 year | — | -34.13% | — |
Max Drawdown (3Y)Largest decline over 3 years | — | -34.13% | — |
Max Drawdown (5Y)Largest decline over 5 years | — | -72.17% | — |
Max Drawdown (10Y)Largest decline over 10 years | — | -80.92% | — |
Current DrawdownCurrent decline from peak | — | -68.52% | — |
Average DrawdownAverage peak-to-trough decline | — | -35.24% | — |
Ulcer IndexDepth and duration of drawdowns from previous peaks | — | 16.85% | — |
Volatility
AFTY vs. KWEB - Volatility Comparison
Loading charts...
Volatility by Period
| AFTY | KWEB | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | — | 11.52% | — |
Volatility (6M)Calculated over the trailing 6-month period | — | 20.11% | — |
Volatility (1Y)Calculated over the trailing 1-year period | — | 27.25% | — |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | — | 47.67% | — |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | — | 39.99% | — |
AFTY vs. KWEB - Expense Ratio Comparison
AFTY has a 0.70% expense ratio, which is lower than KWEB's 0.76% expense ratio.
Dividends
AFTY vs. KWEB - Dividend Comparison
AFTY has not paid dividends to shareholders, while KWEB's dividend yield for the trailing twelve months is around 7.70%.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
AFTY Pacer CSOP FTSE China A50 ETF | 0.00% | 0.00% | 0.00% | 2.23% | 2.08% | 1.84% | 1.48% | 7.96% | 1.85% | 6.62% | 1.19% | 16.76% |
KWEB KraneShares CSI China Internet ETF | 7.70% | 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
AFTY and KWEB have a correlation of 0.54, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
On fees, AFTY is cheaper at 0.70% per year. The better choice depends on whether you care most about return, fees, risk, or income.
AFTY is cheaper with a 0.70% expense ratio, compared with 0.76% for KWEB.
KWEB has the higher dividend yield at 7.70%, compared with 0.00% for AFTY.
AFTY tracks FTSE China A 50, while KWEB tracks CSI Overseas China Internet. They also come from different issuers: Pacer and CICC. Their fees differ too: 0.70% for AFTY and 0.76% for KWEB.
Find the right allocation for AFTY and KWEB
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