^UTY vs. SOXL
^UTY (PHLX Utility Sector Index) is an index, while SOXL (Direxion Daily Semiconductor Bull 3X ETF) is Leveraged Equities fund tracking the ICE Semiconductor Index. Over the past 10 years, ^UTY returned 5.82%/yr vs 58.09%/yr for SOXL. At a 0.20 correlation, their price movements are largely independent.
Performance
^UTY vs. SOXL - Performance Comparison
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Returns By Period
In the year-to-date period, ^UTY achieves a 3.05% return, which is significantly lower than SOXL's 334.31% return. Over the past 10 years, ^UTY has underperformed SOXL with an annualized return of 5.82%, while SOXL has yielded a comparatively higher 58.09% annualized return.
^UTY
- 1D
- 0.68%
- 1M
- -4.52%
- YTD
- 3.05%
- 6M
- 2.21%
- 1Y
- 9.86%
- 3Y*
- 9.51%
- 5Y*
- 5.39%
- 10Y*
- 5.82%
SOXL
- 1D
- -30.51%
- 1M
- 10.06%
- YTD
- 334.31%
- 6M
- 292.56%
- 1Y
- 873.79%
- 3Y*
- 104.66%
- 5Y*
- 36.47%
- 10Y*
- 58.09%
^UTY vs. SOXL - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
^UTY PHLX Utility Sector Index | 3.05% | 13.45% | 16.89% | -12.33% | -2.35% | 14.64% | -0.62% | 22.62% | -0.16% | 8.96% |
SOXL Direxion Daily Semiconductor Bull 3X ETF | 334.31% | 54.91% | -12.31% | 226.98% | -85.66% | 118.84% | 70.04% | 231.83% | -39.07% | 141.71% |
Correlation
The correlation between ^UTY and SOXL is 0.08, 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 | 0.08 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.04 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.12 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.13 |
Correlation (All Time) Calculated using the full available price history since Mar 12, 2010 | 0.20 |
The correlation between ^UTY and SOXL shifts across timeframes, from 0.04 (3 years) to 0.20 (all time), reflecting how their relationship changes across market environments.
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Return for Risk
^UTY vs. SOXL — Risk / Return Rank
^UTY
SOXL
^UTY vs. SOXL - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for PHLX Utility Sector Index (^UTY) and Direxion Daily Semiconductor Bull 3X ETF (SOXL). 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.
| ^UTY | SOXL | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -7.57 | ||
| Sortino ratioReturn per unit of downside risk | -3.06 | ||
| Omega ratioGain probability vs. loss probability | 1.13 | 1.59 | -0.46 |
| Calmar ratioReturn relative to maximum drawdown | 1.06 | 20.30 | -19.24 |
| Martin ratioReturn relative to average drawdown | 2.37 | 68.57 | -66.20 |
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
| ^UTY | SOXL | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 0.69 | 8.26 | -7.57 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.31 | 0.34 | -0.03 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.30 | 0.59 | -0.29 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.26 | 0.47 | -0.21 |
Drawdowns
^UTY vs. SOXL - Drawdown Comparison
The maximum ^UTY drawdown since its inception was -48.16%, smaller than the maximum SOXL drawdown of -90.46%. Use the drawdown chart below to compare losses from any high point for ^UTY and SOXL.
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Drawdown Indicators
| ^UTY | SOXL | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -48.16% | -90.46% | +42.30% |
Max Drawdown (1Y)Largest decline over 1 year | -9.28% | -43.47% | +34.19% |
Max Drawdown (3Y)Largest decline over 3 years | -18.50% | -87.88% | +69.38% |
Max Drawdown (5Y)Largest decline over 5 years | -29.12% | -90.46% | +61.34% |
Max Drawdown (10Y)Largest decline over 10 years | -36.10% | -90.46% | +54.36% |
Current DrawdownCurrent decline from peak | -7.43% | -34.93% | +27.50% |
Average DrawdownAverage peak-to-trough decline | -12.46% | -35.01% | +22.55% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.15% | 12.85% | -8.70% |
Volatility
^UTY vs. SOXL - Volatility Comparison
The current volatility for PHLX Utility Sector Index (^UTY) is 5.61%, while Direxion Daily Semiconductor Bull 3X ETF (SOXL) has a volatility of 55.19%. This indicates that ^UTY experiences smaller price fluctuations and is considered to be less risky than SOXL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| ^UTY | SOXL | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 5.61% | 55.19% | -49.58% |
Volatility (6M)Calculated over the trailing 6-month period | 11.47% | 89.77% | -78.30% |
Volatility (1Y)Calculated over the trailing 1-year period | 14.44% | 106.94% | -92.50% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 17.53% | 108.10% | -90.57% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 19.54% | 99.53% | -79.99% |
Frequently Asked Questions
^UTY and SOXL have a correlation of 0.08, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SOXL has higher volatility (55.19%) compared to ^UTY (5.61%). In terms of maximum drawdown, ^UTY dropped -48.16% vs SOXL's -90.46%.
SOXL currently has the higher Sharpe Ratio (8.26 vs 0.69), 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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