XPP vs. FXI
XPP (ProShares Ultra FTSE China 50) and FXI (iShares China Large-Cap ETF) are both exchange-traded funds - XPP is a Leveraged Equities fund tracking the FTSE/Xinhua China 25 Index (200%), while FXI is a China Equities fund tracking the FTSE China 25 Index. Both are passively managed. Over the past 10 years, XPP returned -5.30%/yr vs 2.96%/yr for FXI. With a 1.00 correlation, they move nearly in lockstep. XPP charges 0.95%/yr vs 0.74%/yr for FXI.
Performance
XPP vs. FXI - Performance Comparison
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Returns By Period
In the year-to-date period, XPP achieves a -17.68% return, which is significantly lower than FXI's -7.18% return. Over the past 10 years, XPP has underperformed FXI with an annualized return of -5.30%, while FXI has yielded a comparatively higher 2.96% annualized return.
XPP
- 1D
- -4.83%
- 1M
- -6.40%
- YTD
- -17.68%
- 6M
- -20.01%
- 1Y
- -5.89%
- 3Y*
- 7.34%
- 5Y*
- -20.12%
- 10Y*
- -5.30%
FXI
- 1D
- -2.26%
- 1M
- -2.76%
- YTD
- -7.18%
- 6M
- -8.38%
- 1Y
- 2.05%
- 3Y*
- 11.73%
- 5Y*
- -3.18%
- 10Y*
- 2.96%
XPP vs. FXI - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
XPP ProShares Ultra FTSE China 50 | -17.68% | 45.84% | 38.18% | -34.77% | -50.06% | -40.45% | 7.07% | 24.88% | -31.36% | 80.21% |
FXI iShares China Large-Cap ETF | -7.18% | 28.95% | 28.98% | -12.42% | -20.66% | -20.06% | 8.92% | 14.90% | -13.28% | 36.26% |
Correlation
The correlation between XPP and FXI is 0.99 - these two move nearly in lockstep. At this level, holding both provides almost no diversification benefit. If you already own one, adding the other does little to reduce portfolio risk.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.99 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.99 |
Correlation (5Y) Calculated over the trailing 5-year period | 1.00 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.99 |
Correlation (All Time) Calculated using the full available price history since Jun 5, 2009 | 1.00 |
The correlation between XPP and FXI has been stable across timeframes, ranging from 0.99 to 1.00 - a consistent structural relationship.
XPP vs. FXI - Sectors Allocation Comparison
Sectors
XPP
FXI
Financial Services
Basic Materials
-
Communication Services
-
Consumer Cyclical
-
Consumer Defensive
-
Energy
-
Healthcare
-
Industrials
-
Real Estate
-
Technology
-
Utilities
-
Financial Services
XPP
FXI
Basic Materials
XPP
-
FXI
Communication Services
XPP
-
FXI
Consumer Cyclical
XPP
-
FXI
Consumer Defensive
XPP
-
FXI
Energy
XPP
-
FXI
Healthcare
XPP
-
FXI
Industrials
XPP
-
FXI
Real Estate
XPP
-
FXI
Technology
XPP
-
FXI
Utilities
XPP
-
FXI
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Return for Risk
XPP vs. FXI — Risk / Return Rank
XPP
FXI
XPP vs. FXI - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for ProShares Ultra FTSE China 50 (XPP) and iShares China Large-Cap ETF (FXI). 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.
| XPP | FXI | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.25 | ||
| Sortino ratioReturn per unit of downside risk | -0.23 | ||
| Omega ratioGain probability vs. loss probability | 1.01 | 1.03 | -0.03 |
| Calmar ratioReturn relative to maximum drawdown | -0.18 | 0.13 | -0.31 |
| Martin ratioReturn relative to average drawdown | -0.37 | 0.28 | -0.65 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| XPP | FXI | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | -0.15 | 0.10 | -0.25 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | -0.32 | -0.10 | -0.22 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | -0.10 | 0.11 | -0.20 |
Sharpe Ratio (All Time)Calculated using the full available price history | -0.09 | 0.17 | -0.26 |
Drawdowns
XPP vs. FXI - Drawdown Comparison
The maximum XPP drawdown since its inception was -89.90%, which is greater than FXI's maximum drawdown of -72.68%. Use the drawdown chart below to compare losses from any high point for XPP and FXI.
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Drawdown Indicators
| XPP | FXI | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -89.90% | -72.68% | -17.22% |
Max Drawdown (1Y)Largest decline over 1 year | -32.60% | -15.62% | -16.98% |
Max Drawdown (3Y)Largest decline over 3 years | -52.95% | -28.72% | -24.23% |
Max Drawdown (5Y)Largest decline over 5 years | -85.24% | -54.94% | -30.30% |
Max Drawdown (10Y)Largest decline over 10 years | -89.90% | -60.81% | -29.09% |
Current DrawdownCurrent decline from peak | -78.21% | -26.91% | -51.30% |
Average DrawdownAverage peak-to-trough decline | -47.82% | -31.22% | -16.60% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 15.95% | 7.22% | +8.73% |
Volatility
XPP vs. FXI - Volatility Comparison
ProShares Ultra FTSE China 50 (XPP) has a higher volatility of 14.45% compared to iShares China Large-Cap ETF (FXI) at 7.13%. This indicates that XPP's price experiences larger fluctuations and is considered to be riskier than FXI based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| XPP | FXI | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 14.45% | 7.13% | +7.32% |
Volatility (6M)Calculated over the trailing 6-month period | 28.79% | 14.35% | +14.44% |
Volatility (1Y)Calculated over the trailing 1-year period | 39.27% | 19.93% | +19.34% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 62.75% | 31.68% | +31.07% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 54.91% | 27.67% | +27.24% |
XPP vs. FXI - Expense Ratio Comparison
XPP has a 0.95% expense ratio, which is higher than FXI's 0.74% expense ratio.
Dividends
XPP vs. FXI - Dividend Comparison
XPP's dividend yield for the trailing twelve months is around 2.63%, more than FXI's 2.60% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
FXI iShares China Large-Cap ETF | 2.60% | 2.42% | 1.76% | 3.17% | 2.61% | 1.60% | 2.19% | 2.74% | 2.69% | 2.31% | 2.69% | 2.90% |
XPP ProShares Ultra FTSE China 50 | 2.63% | 2.32% | 2.96% | 2.87% | 0.00% | 0.00% | 0.00% | 3.81% | 1.47% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
With a correlation of 0.99, XPP and FXI move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.
XPP has higher volatility (14.45%) compared to FXI (7.13%). In terms of maximum drawdown, XPP dropped -89.90% vs FXI's -72.68%.
On 10-year performance, FXI leads with 2.96% vs -5.30% for XPP. On fees, FXI is cheaper at 0.74% per year. On volatility, FXI has been the lower-risk option at 7.13%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, FXI has performed better with a 2.96% return vs -5.30%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
FXI is cheaper with a 0.74% expense ratio, compared with 0.95% for XPP.
XPP has the higher dividend yield at 2.63%, compared with 2.60% for FXI.
XPP is categorized as Leveraged Equities, while FXI is China Equities. XPP tracks FTSE/Xinhua China 25 Index (200%), while FXI tracks FTSE China 25 Index. They also come from different issuers: ProShares and iShares. Their fees differ too: 0.95% for XPP and 0.74% for FXI.
FXI currently has the higher Sharpe Ratio (0.10 vs -0.15), 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.
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