SSG vs. SMH
SSG (Proshares Ultrashort Semiconductors) and SMH (VanEck Semiconductor ETF) are both exchange-traded funds - SSG is a Leveraged Equities fund tracking the Dow Jones U.S. Semiconductors Index (-200%), while SMH is a Semiconductors fund tracking the MVIS US Listed Semiconductor 25 Index. Both are passively managed. Over the past 10 years, SSG returned -60.80%/yr vs 34.16%/yr for SMH. Their -0.95 correlation means they have often moved in opposite directions in the past. SSG charges 0.95%/yr vs 0.35%/yr for SMH.
Performance
SSG vs. SMH - Performance Comparison
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Returns By Period
In the year-to-date period, SSG achieves a -54.20% return, which is significantly lower than SMH's 50.09% return. Over the past 10 years, SSG has underperformed SMH with an annualized return of -60.80%, while SMH has yielded a comparatively higher 34.16% annualized return.
SSG
- 1D
- -1.00%
- 1M
- 3.51%
- 6M
- -48.20%
- YTD
- -54.20%
- 1Y
- -68.86%
- 3Y*
- -71.03%
- 5Y*
- -64.98%
- 10Y*
- -60.80%
- ALL TIME*
- -48.52%
SMH
- 1D
- 0.30%
- 1M
- -8.74%
- 6M
- 33.97%
- YTD
- 50.09%
- 1Y
- 90.95%
- 3Y*
- 50.56%
- 5Y*
- 33.46%
- 10Y*
- 34.16%
- ALL TIME*
- 11.06%
Liquidity Comparison
| Position | Avg. Volume Value (2W) | Avg. Volume Value (1M) | Avg. Volume Value (3M) |
|---|---|---|---|
| $8.28B | $7.64B | $7.07B | |
| $11.79M | $12.75M | $12.54M |
SSG vs. SMH - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
SSG Proshares Ultrashort Semiconductors | -54.20% | -70.03% | -77.59% | -78.69% | 37.90% | -67.46% | -76.50% | -63.33% | -0.79% | -51.60% |
SMH VanEck Semiconductor ETF | 50.09% | 49.17% | 39.10% | 73.38% | -33.53% | 42.13% | 55.53% | 64.45% | -9.05% | 38.48% |
Correlation
The correlation between SSG and SMH is -0.92, meaning they have often moved in opposite directions in the past. This relationship can weaken or reverse as market conditions change.
| Correlation | |
|---|---|
Correlation (1Y) Focuses on recent behavior, but can change the most. | -0.92 |
Correlation (3Y) Balances recent behavior with more history. | -0.94 |
Correlation (5Y) Shows whether the relationship held over a longer period. | -0.96 |
Correlation (10Y) Provides a long-term view across more market conditions. | -0.95 |
Correlation (All Time) Calculated using the full available price history since Feb 1, 2007 | -0.95 |
The correlation between SSG and SMH has been stable across timeframes, ranging from -0.96 to -0.92 - a consistent structural relationship.
SSG vs. SMH - Sectors Allocation Comparison
Sectors
SSG
SMH
Financial Services
-
Basic Materials
-
-
Communication Services
-
-
Consumer Cyclical
-
-
Consumer Defensive
-
-
Energy
-
-
Healthcare
-
-
Industrials
-
-
Real Estate
-
-
Technology
-
Utilities
-
-
Financial Services
SSG
SMH
-
Basic Materials
SSG
-
SMH
-
Communication Services
SSG
-
SMH
-
Consumer Cyclical
SSG
-
SMH
-
Consumer Defensive
SSG
-
SMH
-
Energy
SSG
-
SMH
-
Healthcare
SSG
-
SMH
-
Industrials
SSG
-
SMH
-
Real Estate
SSG
-
SMH
-
Technology
SSG
-
SMH
Utilities
SSG
-
SMH
-
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Return for Risk
SSG vs. SMH — Risk / Return Rank
SSG
SMH
SSG vs. SMH - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Proshares Ultrashort Semiconductors (SSG) and VanEck Semiconductor ETF (SMH). 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.
| SSG | SMH | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -3.20 | ||
| Sortino ratioReturn per unit of downside risk | -4.28 | ||
| Omega ratioGain probability vs. loss probability | 0.83 | 1.36 | -0.53 |
| Calmar ratioReturn relative to maximum drawdown | -0.90 | 3.58 | -4.49 |
| Martin ratioReturn relative to average drawdown | -1.50 | 14.64 | -16.14 |
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Drawdowns
SSG vs. SMH - Drawdown Comparison
The maximum SSG drawdown since its inception was -100.00%, which is greater than SMH's maximum drawdown of -84.96%. Use the drawdown chart below to compare losses from any high point for SSG and SMH.
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Drawdown Indicators
| SSG | SMH | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -100.00% | -84.96% | -15.04% |
Max Drawdown (1Y)Largest decline over 1 year | -75.10% | -24.62% | -50.48% |
Max Drawdown (3Y)Largest decline over 3 years | -98.56% | -35.74% | -62.82% |
Max Drawdown (5Y)Largest decline over 5 years | -99.66% | -45.30% | -54.36% |
Max Drawdown (10Y)Largest decline over 10 years | -99.99% | -45.30% | -54.69% |
Current DrawdownCurrent decline from peak | -100.00% | -19.19% | -80.81% |
Average DrawdownAverage peak-to-trough decline | -88.67% | -40.89% | -47.78% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 44.99% | 6.01% | +38.98% |
Volatility
SSG vs. SMH - Volatility Comparison
Proshares Ultrashort Semiconductors (SSG) has a higher volatility of 28.95% compared to VanEck Semiconductor ETF (SMH) at 14.70%. This indicates that SSG's price experiences larger fluctuations and is considered to be riskier than SMH based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| SSG | SMH | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 28.95% | 14.70% | +14.25% |
Volatility (6M)Calculated over the trailing 6-month period | 62.00% | 33.13% | +28.87% |
Volatility (1Y)Calculated over the trailing 1-year period | 74.90% | 38.57% | +36.33% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 79.59% | 36.50% | +43.09% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 70.22% | 33.32% | +36.90% |
SSG vs. SMH - Expense Ratio Comparison
SSG has a 0.95% expense ratio, which is higher than SMH's 0.35% expense ratio.
Dividends
SSG vs. SMH - Dividend Comparison
SSG's dividend yield for the trailing twelve months is around 8.90%, more than SMH's 0.20% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
SMH VanEck Semiconductor ETF | 0.20% | 0.31% | 0.44% | 0.60% | 1.18% | 0.51% | 0.69% | 1.50% | 1.88% | 1.43% | 0.80% | 2.14% |
SSG Proshares Ultrashort Semiconductors | 8.90% | 9.19% | 7.67% | 6.73% | 0.75% | 0.00% | 0.34% | 1.81% | 0.62% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
SSG and SMH have a correlation of -0.92, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SSG has higher volatility (28.95%) compared to SMH (14.70%). In terms of maximum drawdown, SSG dropped -100.00% vs SMH's -84.96%.
On 10-year performance, SMH leads with 34.16% vs -60.80% for SSG. On fees, SMH is cheaper at 0.35% per year. On volatility, SMH has been the lower-risk option at 14.70%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, SMH has performed better with a 34.16% return vs -60.80%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SMH is cheaper with a 0.35% expense ratio, compared with 0.95% for SSG.
SSG has the higher dividend yield at 8.90%, compared with 0.20% for SMH.
SSG is categorized as Leveraged Equities, while SMH is Semiconductors. SSG tracks Dow Jones U.S. Semiconductors Index (-200%), while SMH tracks MVIS US Listed Semiconductor 25 Index. They also come from different issuers: ProShares and VanEck. Their fees differ too: 0.95% for SSG and 0.35% for SMH.
SMH currently has the higher Sharpe Ratio (2.29 vs -0.91), 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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