XPP vs. VTI
XPP (ProShares Ultra FTSE China 50) and VTI (Vanguard Total Stock Market ETF) are both exchange-traded funds - XPP is a Leveraged Equities fund tracking the FTSE/Xinhua China 25 Index (200%), while VTI is a Large Cap Blend Equities fund tracking the CRSP US Total Market Index. Both are passively managed. Over the past 10 years, XPP returned -5.30%/yr vs 15.05%/yr for VTI. A 0.58 correlation means they provide meaningful diversification when combined. XPP charges 0.95%/yr vs 0.03%/yr for VTI.
Performance
XPP vs. VTI - 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 VTI's 11.20% return. Over the past 10 years, XPP has underperformed VTI with an annualized return of -5.30%, while VTI has yielded a comparatively higher 15.05% 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%
VTI
- 1D
- -0.72%
- 1M
- 4.99%
- YTD
- 11.20%
- 6M
- 11.09%
- 1Y
- 28.18%
- 3Y*
- 22.07%
- 5Y*
- 12.69%
- 10Y*
- 15.05%
XPP vs. VTI - 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% |
VTI Vanguard Total Stock Market ETF | 11.20% | 17.10% | 23.81% | 26.05% | -19.52% | 25.68% | 21.08% | 30.67% | -5.23% | 21.21% |
Correlation
The correlation between XPP and VTI is 0.46, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.46 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.40 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.41 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.51 |
Correlation (All Time) Calculated using the full available price history since Jun 5, 2009 | 0.58 |
The correlation between XPP and VTI shifts across timeframes, from 0.40 (3 years) to 0.58 (all time), reflecting how their relationship changes across market environments.
XPP vs. VTI - Sectors Allocation Comparison
Sectors
XPP
VTI
Financial Services
Basic Materials
-
Communication Services
-
Consumer Cyclical
-
Consumer Defensive
-
Energy
-
Healthcare
-
Industrials
-
Real Estate
-
Technology
-
Utilities
-
Financial Services
XPP
VTI
Basic Materials
XPP
-
VTI
Communication Services
XPP
-
VTI
Consumer Cyclical
XPP
-
VTI
Consumer Defensive
XPP
-
VTI
Energy
XPP
-
VTI
Healthcare
XPP
-
VTI
Industrials
XPP
-
VTI
Real Estate
XPP
-
VTI
Technology
XPP
-
VTI
Utilities
XPP
-
VTI
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Return for Risk
XPP vs. VTI — Risk / Return Rank
XPP
VTI
XPP vs. VTI - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for ProShares Ultra FTSE China 50 (XPP) and Vanguard Total Stock Market ETF (VTI). 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 | VTI | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | -0.15 | 2.33 | -2.48 |
Sortino ratioReturn per unit of downside risk | 0.06 | 3.18 | -3.13 |
Omega ratioGain probability vs. loss probability | 1.01 | 1.42 | -0.41 |
Calmar ratioReturn relative to maximum drawdown | -0.18 | 3.17 | -3.36 |
Martin ratioReturn relative to average drawdown | -0.37 | 14.62 | -14.99 |
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 | VTI | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | -0.15 | 2.33 | -2.48 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | -0.32 | 0.73 | -1.06 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | -0.10 | 0.82 | -0.92 |
Sharpe Ratio (All Time)Calculated using the full available price history | -0.09 | 0.51 | -0.60 |
Drawdowns
XPP vs. VTI - Drawdown Comparison
The maximum XPP drawdown since its inception was -89.90%, which is greater than VTI's maximum drawdown of -55.45%. Use the drawdown chart below to compare losses from any high point for XPP and VTI.
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Drawdown Indicators
| XPP | VTI | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -89.90% | -55.45% | -34.45% |
Max Drawdown (1Y)Largest decline over 1 year | -32.60% | -8.92% | -23.68% |
Max Drawdown (3Y)Largest decline over 3 years | -52.95% | -19.30% | -33.65% |
Max Drawdown (5Y)Largest decline over 5 years | -85.24% | -25.36% | -59.88% |
Max Drawdown (10Y)Largest decline over 10 years | -89.90% | -35.00% | -54.90% |
Current DrawdownCurrent decline from peak | -78.21% | -0.72% | -77.49% |
Average DrawdownAverage peak-to-trough decline | -47.82% | -8.03% | -39.79% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 15.95% | 1.93% | +14.02% |
Volatility
XPP vs. VTI - Volatility Comparison
ProShares Ultra FTSE China 50 (XPP) has a higher volatility of 14.45% compared to Vanguard Total Stock Market ETF (VTI) at 2.96%. This indicates that XPP's price experiences larger fluctuations and is considered to be riskier than VTI based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| XPP | VTI | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 14.45% | 2.96% | +11.49% |
Volatility (6M)Calculated over the trailing 6-month period | 28.79% | 9.13% | +19.66% |
Volatility (1Y)Calculated over the trailing 1-year period | 39.27% | 12.17% | +27.10% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 62.75% | 17.40% | +45.35% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 54.91% | 18.30% | +36.61% |
XPP vs. VTI - Expense Ratio Comparison
XPP has a 0.95% expense ratio, which is higher than VTI's 0.03% expense ratio.
Dividends
XPP vs. VTI - Dividend Comparison
XPP's dividend yield for the trailing twelve months is around 2.63%, more than VTI's 1.01% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
VTI Vanguard Total Stock Market ETF | 1.01% | 1.12% | 1.27% | 1.44% | 1.66% | 1.21% | 1.42% | 1.78% | 2.04% | 1.71% | 1.92% | 1.98% |
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
XPP and VTI have a correlation of 0.46, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
XPP has higher volatility (14.45%) compared to VTI (2.96%). In terms of maximum drawdown, XPP dropped -89.90% vs VTI's -55.45%.
On 10-year performance, VTI leads with 15.05% vs -5.30% for XPP. On fees, VTI is cheaper at 0.03% per year. On volatility, VTI has been the lower-risk option at 2.96%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, VTI has performed better with a 15.05% return vs -5.30%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
VTI is cheaper with a 0.03% expense ratio, compared with 0.95% for XPP.
XPP has the higher dividend yield at 2.63%, compared with 1.01% for VTI.
XPP is categorized as Leveraged Equities, while VTI is Large Cap Blend Equities. XPP tracks FTSE/Xinhua China 25 Index (200%), while VTI tracks CRSP US Total Market Index. They also come from different issuers: ProShares and Vanguard. Their fees differ too: 0.95% for XPP and 0.03% for VTI.
VTI currently has the higher Sharpe Ratio (2.33 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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