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XPP vs. BIL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

XPP vs. BIL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in ProShares Ultra FTSE China 50 (XPP) and SPDR Bloomberg 1-3 Month T-Bill ETF (BIL). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, XPP achieves a -28.87% return, which is significantly lower than BIL's 1.67% return. Over the past 10 years, XPP has underperformed BIL with an annualized return of -6.09%, while BIL has yielded a comparatively higher 2.20% annualized return.


XPP

1D
-3.49%
1M
-13.68%
YTD
-28.87%
6M
-29.70%
1Y
-21.92%
3Y*
3.54%
5Y*
-22.11%
10Y*
-6.09%

BIL

1D
0.01%
1M
0.28%
YTD
1.67%
6M
1.76%
1Y
3.84%
3Y*
4.60%
5Y*
3.45%
10Y*
2.20%
*Multi-year figures are annualized to reflect compound growth (CAGR)

XPP vs. BIL - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
XPP
ProShares Ultra FTSE China 50
-28.87%45.84%38.18%-34.77%-50.06%-40.45%7.07%24.88%-31.36%80.21%
BIL
SPDR Bloomberg 1-3 Month T-Bill ETF
1.67%4.15%5.19%4.94%1.40%-0.10%0.40%2.03%1.74%0.69%

Correlation

The correlation between XPP and BIL is -0.10, 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 (1Y)
Calculated over the trailing 1-year period

-0.10

Correlation (3Y)
Calculated over the trailing 3-year period

-0.06

Correlation (5Y)
Calculated over the trailing 5-year period

0.01

Correlation (10Y)
Calculated over the trailing 10-year period

0.00

Correlation (All Time)
Calculated using the full available price history since Jun 4, 2009

-0.01

The correlation between XPP and BIL shifts across timeframes, from -0.10 (1 year) to 0.01 (5 years), reflecting how their relationship changes across market environments.

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Return for Risk

XPP vs. BIL — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

XPP
XPP Risk / Return Rank: 44
Overall Rank
XPP Sharpe Ratio Rank: 55
Sharpe Ratio Rank
XPP Sortino Ratio Rank: 55
Sortino Ratio Rank
XPP Omega Ratio Rank: 55
Omega Ratio Rank
XPP Calmar Ratio Rank: 44
Calmar Ratio Rank
XPP Martin Ratio Rank: 33
Martin Ratio Rank

BIL
BIL Risk / Return Rank: 100100
Overall Rank
BIL Sharpe Ratio Rank: 100100
Sharpe Ratio Rank
BIL Sortino Ratio Rank: 100100
Sortino Ratio Rank
BIL Omega Ratio Rank: 100100
Omega Ratio Rank
BIL Calmar Ratio Rank: 100100
Calmar Ratio Rank
BIL Martin Ratio Rank: 100100
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

XPP vs. BIL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for ProShares Ultra FTSE China 50 (XPP) and SPDR Bloomberg 1-3 Month T-Bill ETF (BIL). 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.


XPPBILDifference
Sharpe ratioReturn per unit of total volatility

-19.88

Sortino ratioReturn per unit of downside risk

-173.27

Omega ratioGain probability vs. loss probability

0.93

87.16

-86.23

Calmar ratioReturn relative to maximum drawdown

-0.55

352.24

-352.79

Martin ratioReturn relative to average drawdown

-1.23

2,793.11

-2,794.34

XPP vs. BIL - Sharpe Ratio Comparison

The current XPP Sharpe Ratio is -0.56, which is lower than the BIL Sharpe Ratio of 19.32. The chart below compares the historical Sharpe Ratios of XPP and BIL, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

XPP vs. BIL - Drawdown Comparison

The maximum XPP drawdown since its inception was -89.90%, which is greater than BIL's maximum drawdown of -0.78%. Use the drawdown chart below to compare losses from any high point for XPP and BIL.


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Drawdown Indicators


XPPBILDifference

Max Drawdown

Largest peak-to-trough decline

-89.90%

-0.78%

-89.12%

Max Drawdown (1Y)

Largest decline over 1 year

-40.13%

-0.01%

-40.12%

Max Drawdown (3Y)

Largest decline over 3 years

-52.95%

-0.01%

-52.94%

Max Drawdown (5Y)

Largest decline over 5 years

-85.24%

-0.09%

-85.15%

Max Drawdown (10Y)

Largest decline over 10 years

-89.90%

-0.21%

-89.69%

Current Drawdown

Current decline from peak

-81.17%

0.00%

-81.17%

Average Drawdown

Average peak-to-trough decline

-47.90%

-0.26%

-47.64%

Ulcer Index

Depth and duration of drawdowns from previous peaks

17.79%

0.00%

+17.79%

Volatility

XPP vs. BIL - Volatility Comparison

ProShares Ultra FTSE China 50 (XPP) has a higher volatility of 12.54% compared to SPDR Bloomberg 1-3 Month T-Bill ETF (BIL) at 0.07%. This indicates that XPP's price experiences larger fluctuations and is considered to be riskier than BIL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


XPPBILDifference

Volatility (1M)

Calculated over the trailing 1-month period

12.54%

0.07%

+12.47%

Volatility (6M)

Calculated over the trailing 6-month period

29.54%

0.14%

+29.40%

Volatility (1Y)

Calculated over the trailing 1-year period

39.48%

0.20%

+39.28%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

62.84%

0.26%

+62.58%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

54.79%

0.26%

+54.53%

XPP vs. BIL - Expense Ratio Comparison

XPP has a 0.95% expense ratio, which is higher than BIL's 0.14% expense ratio.


Dividends

XPP vs. BIL - Dividend Comparison

XPP's dividend yield for the trailing twelve months is around 3.05%, less than BIL's 3.85% yield.


PositionTTM2025202420232022202120202019201820172016
BIL
SPDR Bloomberg 1-3 Month T-Bill ETF
3.85%4.13%5.03%4.92%1.35%0.00%0.30%2.05%1.66%0.68%0.07%
XPP
ProShares Ultra FTSE China 50
3.05%2.32%2.96%2.87%0.00%0.00%0.00%3.81%1.47%0.00%0.00%

Frequently Asked Questions


XPP and BIL have a correlation of -0.10, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

XPP has higher volatility (12.54%) compared to BIL (0.07%). In terms of maximum drawdown, XPP dropped -89.90% vs BIL's -0.78%.

On 10-year performance, BIL leads with 2.20% vs -6.09% for XPP. On fees, BIL is cheaper at 0.14% per year. On volatility, BIL has been the lower-risk option at 0.07%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 10-year period, BIL has performed better with a 2.20% return vs -6.09%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

BIL is cheaper with a 0.14% expense ratio, compared with 0.95% for XPP.

BIL has the higher dividend yield at 3.85%, compared with 3.05% for XPP.

XPP is categorized as Leveraged Equities, while BIL is Government Bonds. XPP tracks FTSE/Xinhua China 25 Index (200%), while BIL tracks Bloomberg 1-3 Month U.S. Treasury Bill Index. They also come from different issuers: ProShares and State Street. Their fees differ too: 0.95% for XPP and 0.14% for BIL.

BIL currently has the higher Sharpe Ratio (19.32 vs -0.56), 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.

Portfolio Optimizer

Find the right allocation for XPP and BIL

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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