SEF vs. USD
SEF (ProShares Short Financials) and USD (ProShares Ultra Semiconductors) are both exchange-traded funds - SEF is a Inverse Equities fund tracking the Dow Jones U.S. Financials Index (-100%), while USD is a Leveraged Equities fund tracking the Dow Jones U.S. Semiconductors Index (200%). Both are passively managed. Over the past 10 years, SEF returned -11.50%/yr vs 62.16%/yr for USD. At a correlation of -0.56, they often move in opposite directions. Both charge a 0.95% expense ratio.
Performance
SEF vs. USD - Performance Comparison
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Returns By Period
In the year-to-date period, SEF achieves a 8.89% return, which is significantly lower than USD's 114.00% return. Over the past 10 years, SEF has underperformed USD with an annualized return of -11.50%, while USD has yielded a comparatively higher 62.16% annualized return.
SEF
- 1D
- 1.10%
- 1M
- 1.81%
- YTD
- 8.89%
- 6M
- 6.43%
- 1Y
- 3.73%
- 3Y*
- -10.34%
- 5Y*
- -5.21%
- 10Y*
- -11.50%
USD
- 1D
- -1.14%
- 1M
- 44.53%
- YTD
- 114.00%
- 6M
- 111.06%
- 1Y
- 274.62%
- 3Y*
- 127.67%
- 5Y*
- 69.52%
- 10Y*
- 62.16%
SEF vs. USD - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
SEF ProShares Short Financials | 8.89% | -9.82% | -17.81% | -8.81% | 11.85% | -27.02% | -16.93% | -23.51% | 10.34% | -17.12% |
USD ProShares Ultra Semiconductors | 114.00% | 62.08% | 139.64% | 228.79% | -68.57% | 104.27% | 68.16% | 110.37% | -26.88% | 81.72% |
Correlation
The correlation between SEF and USD is -0.17, meaning they tend to move in opposite directions. This is especially valuable for risk management - when one declines, the other has historically tended to hold steady or rise.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | -0.17 |
Correlation (3Y) Calculated over the trailing 3-year period | -0.26 |
Correlation (5Y) Calculated over the trailing 5-year period | -0.44 |
Correlation (10Y) Calculated over the trailing 10-year period | -0.48 |
Correlation (All Time) Calculated using the full available price history since Jun 13, 2008 | -0.56 |
Over the past year, the inverse relationship between SEF and USD has weakened: their correlation has moved from -0.56 to -0.17, meaning they move in opposite directions less often than they have historically.
SEF vs. USD - Sectors Allocation Comparison
Sectors
SEF
USD
Financial Services
Basic Materials
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Communication Services
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Consumer Cyclical
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Consumer Defensive
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-
Energy
-
Healthcare
-
-
Industrials
-
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Real Estate
-
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Technology
-
Utilities
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-
Financial Services
SEF
USD
Basic Materials
SEF
-
USD
-
Communication Services
SEF
-
USD
-
Consumer Cyclical
SEF
-
USD
-
Consumer Defensive
SEF
-
USD
-
Energy
SEF
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USD
Healthcare
SEF
-
USD
-
Industrials
SEF
-
USD
-
Real Estate
SEF
-
USD
-
Technology
SEF
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USD
Utilities
SEF
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USD
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Return for Risk
SEF vs. USD — Risk / Return Rank
SEF
USD
SEF vs. USD - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for ProShares Short Financials (SEF) and ProShares Ultra Semiconductors (USD). 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.
| SEF | USD | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 0.26 | 4.53 | -4.27 |
Sortino ratioReturn per unit of downside risk | 0.50 | 3.81 | -3.31 |
Omega ratioGain probability vs. loss probability | 1.06 | 1.51 | -0.46 |
Calmar ratioReturn relative to maximum drawdown | 0.39 | 8.70 | -8.31 |
Martin ratioReturn relative to average drawdown | 0.73 | 25.16 | -24.43 |
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
| SEF | USD | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 0.26 | 4.53 | -4.27 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | -0.29 | 0.91 | -1.21 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | -0.56 | 0.90 | -1.46 |
Sharpe Ratio (All Time)Calculated using the full available price history | -0.49 | 0.49 | -0.98 |
Drawdowns
SEF vs. USD - Drawdown Comparison
The maximum SEF drawdown since its inception was -96.51%, which is greater than USD's maximum drawdown of -88.63%. Use the drawdown chart below to compare losses from any high point for SEF and USD.
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Drawdown Indicators
| SEF | USD | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -96.51% | -88.63% | -7.88% |
Max Drawdown (1Y)Largest decline over 1 year | -9.72% | -31.80% | +22.08% |
Max Drawdown (3Y)Largest decline over 3 years | -39.40% | -64.46% | +25.06% |
Max Drawdown (5Y)Largest decline over 5 years | -41.62% | -77.85% | +36.23% |
Max Drawdown (10Y)Largest decline over 10 years | -75.66% | -77.85% | +2.19% |
Current DrawdownCurrent decline from peak | -96.09% | -1.14% | -94.95% |
Average DrawdownAverage peak-to-trough decline | -82.72% | -32.35% | -50.37% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 5.14% | 10.97% | -5.83% |
Volatility
SEF vs. USD - Volatility Comparison
The current volatility for ProShares Short Financials (SEF) is 3.01%, while ProShares Ultra Semiconductors (USD) has a volatility of 20.36%. This indicates that SEF experiences smaller price fluctuations and is considered to be less risky than USD based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| SEF | USD | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 3.01% | 20.36% | -17.35% |
Volatility (6M)Calculated over the trailing 6-month period | 10.85% | 46.39% | -35.54% |
Volatility (1Y)Calculated over the trailing 1-year period | 14.34% | 61.22% | -46.88% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 17.96% | 76.55% | -58.59% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 20.52% | 69.23% | -48.71% |
SEF vs. USD - Expense Ratio Comparison
Both SEF and USD have an expense ratio of 0.95%.
Dividends
SEF vs. USD - Dividend Comparison
SEF's dividend yield for the trailing twelve months is around 3.35%, more than USD's 0.21% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
SEF ProShares Short Financials | 3.35% | 4.33% | 5.72% | 4.43% | 0.39% | 0.00% | 0.12% | 1.25% | 0.41% | 0.00% | 0.00% | 0.00% |
USD ProShares Ultra Semiconductors | 0.21% | 0.39% | 0.10% | 0.05% | 0.30% | 0.00% | 0.14% | 0.72% | 0.93% | 0.32% | 0.46% | 0.39% |
Frequently Asked Questions
SEF and USD have a correlation of -0.17, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
USD has higher volatility (20.36%) compared to SEF (3.01%). In terms of maximum drawdown, SEF dropped -96.51% vs USD's -88.63%.
On 10-year performance, USD leads with 62.16% vs -11.50% for SEF. Both ETFs have the same 0.95% expense ratio. On volatility, SEF has been the lower-risk option at 3.01%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, USD has performed better with a 62.16% return vs -11.50%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SEF and USD have the same expense ratio: 0.95% per year.
SEF has the higher dividend yield at 3.35%, compared with 0.21% for USD.
SEF is categorized as Inverse Equities, while USD is Leveraged Equities. SEF tracks Dow Jones U.S. Financials Index (-100%), while USD tracks Dow Jones U.S. Semiconductors Index (200%).
USD currently has the higher Sharpe Ratio (4.53 vs 0.26), 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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