AFTY vs. KBA
AFTY (Pacer CSOP FTSE China A50 ETF) and KBA (KraneShares Bosera MSCI China A Share ETF) are both China Equities funds - AFTY tracks the FTSE China A 50 while KBA tracks the MSCI China A Index. Both are passively managed. Their correlation of 0.82 suggests significant overlap in exposure. AFTY charges 0.70%/yr vs 0.60%/yr for KBA.
Performance
AFTY vs. KBA - Performance Comparison
Loading charts...
Returns By Period
AFTY
- 1D
- —
- 1M
- —
- YTD
- —
- 6M
- —
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
KBA
- 1D
- 0.14%
- 1M
- 4.32%
- YTD
- 12.62%
- 6M
- 16.80%
- 1Y
- 49.12%
- 3Y*
- 16.22%
- 5Y*
- 6.46%
- 10Y*
- 10.15%
AFTY vs. KBA - 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% |
KBA KraneShares Bosera MSCI China A Share ETF | 12.62% | 33.88% | 15.73% | -16.77% | -3.49% | 3.17% | 41.62% | 35.44% | -26.28% | 30.69% |
Correlation
The correlation between AFTY and KBA is 0.82, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.
| Correlation | |
|---|---|
Correlation (3Y) Calculated over the trailing 3-year period | 0.57 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.75 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.82 |
Correlation (All Time) Calculated using the full available price history since Mar 13, 2015 | 0.82 |
The correlation between AFTY and KBA shifts across timeframes, from 0.57 (3 years) to 0.82 (all time), reflecting how their relationship changes across market environments.
AFTY vs. KBA - Sectors Allocation Comparison
Sectors
AFTY
KBA
Financial Services
Basic Materials
Energy
Technology
Consumer Defensive
Industrials
Utilities
Communication Services
-
Consumer Cyclical
-
Healthcare
-
Real Estate
-
Financial Services
AFTY
KBA
Basic Materials
AFTY
KBA
Energy
AFTY
KBA
Technology
AFTY
KBA
Consumer Defensive
AFTY
KBA
Industrials
AFTY
KBA
Utilities
AFTY
KBA
Communication Services
AFTY
-
KBA
Consumer Cyclical
AFTY
-
KBA
Healthcare
AFTY
-
KBA
Real Estate
AFTY
-
KBA
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. KBA — Risk / Return Rank
AFTY
KBA
AFTY vs. KBA - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Pacer CSOP FTSE China A50 ETF (AFTY) and KraneShares Bosera MSCI China A Share ETF (KBA). 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 | KBA | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | — | 2.80 | — |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | — | 0.24 | — |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | — | 0.40 | — |
Sharpe Ratio (All Time)Calculated using the full available price history | — | 0.35 | — |
Drawdowns
AFTY vs. KBA - Drawdown Comparison
Loading charts...
Drawdown Indicators
| AFTY | KBA | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | — | -53.24% | — |
Max Drawdown (1Y)Largest decline over 1 year | — | -7.65% | — |
Max Drawdown (3Y)Largest decline over 3 years | — | -31.23% | — |
Max Drawdown (5Y)Largest decline over 5 years | — | -39.95% | — |
Max Drawdown (10Y)Largest decline over 10 years | — | -45.32% | — |
Current DrawdownCurrent decline from peak | — | -1.25% | — |
Average DrawdownAverage peak-to-trough decline | — | -25.81% | — |
Ulcer IndexDepth and duration of drawdowns from previous peaks | — | 2.85% | — |
Volatility
AFTY vs. KBA - Volatility Comparison
Loading charts...
Volatility by Period
| AFTY | KBA | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | — | 7.29% | — |
Volatility (6M)Calculated over the trailing 6-month period | — | 12.44% | — |
Volatility (1Y)Calculated over the trailing 1-year period | — | 17.65% | — |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | — | 27.20% | — |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | — | 25.32% | — |
AFTY vs. KBA - Expense Ratio Comparison
AFTY has a 0.70% expense ratio, which is higher than KBA's 0.60% expense ratio.
Dividends
AFTY vs. KBA - Dividend Comparison
AFTY has not paid dividends to shareholders, while KBA's dividend yield for the trailing twelve months is around 1.39%.
| 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% |
KBA KraneShares Bosera MSCI China A Share ETF | 1.39% | 1.56% | 2.18% | 2.34% | 49.05% | 9.07% | 0.65% | 1.53% | 3.77% | 1.46% | 6.62% | 29.08% |
Frequently Asked Questions
AFTY and KBA have a correlation of 0.82, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
On fees, KBA is cheaper at 0.60% per year. The better choice depends on whether you care most about return, fees, risk, or income.
KBA is cheaper with a 0.60% expense ratio, compared with 0.70% for AFTY.
KBA has the higher dividend yield at 1.39%, compared with 0.00% for AFTY.
AFTY tracks FTSE China A 50, while KBA tracks MSCI China A Index. They also come from different issuers: Pacer and CICC. Their fees differ too: 0.70% for AFTY and 0.60% for KBA.
Find the right allocation for AFTY and KBA
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