SOXS vs. ^VXN
SOXS (Direxion Daily Semiconductor Bear 3x Shares) is Leveraged Equities fund tracking the PHLX Semiconductor Index (-300%), while ^VXN (CBOE NASDAQ 100 Voltility Index) is an index. Over the past 10 years, SOXS returned -78.81%/yr vs 4.47%/yr for ^VXN. A 0.63 correlation means they provide meaningful diversification when combined.
Performance
SOXS vs. ^VXN - Performance Comparison
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Returns By Period
In the year-to-date period, SOXS achieves a -91.68% return, which is significantly lower than ^VXN's 18.97% return. Over the past 10 years, SOXS has underperformed ^VXN with an annualized return of -78.81%, while ^VXN has yielded a comparatively higher 4.47% annualized return.
SOXS
- 1D
- -17.41%
- 1M
- -60.17%
- YTD
- -91.68%
- 6M
- -91.80%
- 1Y
- -97.83%
- 3Y*
- -86.41%
- 5Y*
- -79.75%
- 10Y*
- -78.81%
^VXN
- 1D
- 0.39%
- 1M
- 6.16%
- YTD
- 18.97%
- 6M
- 9.35%
- 1Y
- 19.76%
- 3Y*
- 6.45%
- 5Y*
- 0.02%
- 10Y*
- 4.47%
SOXS vs. ^VXN - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
SOXS Direxion Daily Semiconductor Bear 3x Shares | -91.68% | -85.53% | -59.55% | -84.56% | 15.76% | -80.94% | -92.90% | -83.81% | -19.39% | -69.39% |
^VXN CBOE NASDAQ 100 Voltility Index | 18.97% | -1.81% | 22.96% | -41.30% | 30.19% | -21.28% | 59.44% | -46.28% | 100.51% | -6.00% |
Correlation
The correlation between SOXS and ^VXN is 0.56, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.56 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.56 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.59 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.61 |
Correlation (All Time) Calculated using the full available price history since Mar 12, 2010 | 0.63 |
The correlation between SOXS and ^VXN has been stable across timeframes, ranging from 0.56 to 0.63 - a consistent structural relationship.
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Return for Risk
SOXS vs. ^VXN — Risk / Return Rank
SOXS
^VXN
SOXS vs. ^VXN - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Direxion Daily Semiconductor Bear 3x Shares (SOXS) and CBOE NASDAQ 100 Voltility Index (^VXN). 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.
| SOXS | ^VXN | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | -0.96 | 0.21 | -1.16 |
Sortino ratioReturn per unit of downside risk | -3.97 | 1.04 | -5.01 |
Omega ratioGain probability vs. loss probability | 0.58 | 1.12 | -0.54 |
Calmar ratioReturn relative to maximum drawdown | -1.00 | 0.24 | -1.24 |
Martin ratioReturn relative to average drawdown | -1.39 | 0.46 | -1.85 |
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
| SOXS | ^VXN | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | -0.96 | 0.21 | -1.16 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | -0.74 | 0.00 | -0.74 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | -0.79 | 0.04 | -0.83 |
Sharpe Ratio (All Time)Calculated using the full available price history | -0.79 | -0.04 | -0.75 |
Drawdowns
SOXS vs. ^VXN - Drawdown Comparison
The maximum SOXS drawdown since its inception was -100.00%, which is greater than ^VXN's maximum drawdown of -87.50%. Use the drawdown chart below to compare losses from any high point for SOXS and ^VXN.
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Drawdown Indicators
| SOXS | ^VXN | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -100.00% | -87.50% | -12.50% |
Max Drawdown (1Y)Largest decline over 1 year | -97.64% | -47.43% | -50.21% |
Max Drawdown (3Y)Largest decline over 3 years | -99.79% | -61.32% | -38.47% |
Max Drawdown (5Y)Largest decline over 5 years | -99.97% | -72.97% | -27.00% |
Max Drawdown (10Y)Largest decline over 10 years | -100.00% | -86.01% | -13.99% |
Current DrawdownCurrent decline from peak | -100.00% | -71.79% | -28.21% |
Average DrawdownAverage peak-to-trough decline | -92.60% | -69.40% | -23.20% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 70.48% | 25.05% | +45.43% |
Volatility
SOXS vs. ^VXN - Volatility Comparison
Direxion Daily Semiconductor Bear 3x Shares (SOXS) has a higher volatility of 44.74% compared to CBOE NASDAQ 100 Voltility Index (^VXN) at 14.48%. This indicates that SOXS's price experiences larger fluctuations and is considered to be riskier than ^VXN based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| SOXS | ^VXN | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 44.74% | 14.48% | +30.26% |
Volatility (6M)Calculated over the trailing 6-month period | 83.91% | 69.44% | +14.47% |
Volatility (1Y)Calculated over the trailing 1-year period | 102.16% | 96.75% | +5.41% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 108.22% | 97.25% | +10.97% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 100.49% | 108.72% | -8.23% |
Frequently Asked Questions
SOXS and ^VXN have a correlation of 0.56, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SOXS has higher volatility (44.74%) compared to ^VXN (14.48%). In terms of maximum drawdown, SOXS dropped -100.00% vs ^VXN's -87.50%.
^VXN currently has the higher Sharpe Ratio (0.21 vs -0.96), 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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