ARKQ vs. SMH
ARKQ (ARK Autonomous Technology & Robotics ETF) and SMH (VanEck Semiconductor ETF) are both exchange-traded funds - ARKQ is a Robotics fund actively managed by ARK, while SMH is a Semiconductors fund tracking the MVIS US Listed Semiconductor 25 Index. ARKQ is actively managed, while SMH is passively managed. Over the past 10 years, ARKQ returned 22.42%/yr vs 37.49%/yr for SMH. A 0.72 correlation means they provide meaningful diversification when combined. ARKQ charges 0.75%/yr vs 0.35%/yr for SMH.
Performance
ARKQ vs. SMH - Performance Comparison
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Returns By Period
In the year-to-date period, ARKQ achieves a 21.70% return, which is significantly lower than SMH's 74.25% return. Over the past 10 years, ARKQ has underperformed SMH with an annualized return of 22.42%, while SMH has yielded a comparatively higher 37.49% annualized return.
ARKQ
- 1D
- 0.51%
- 1M
- 9.53%
- YTD
- 21.70%
- 6M
- 21.88%
- 1Y
- 73.83%
- 3Y*
- 39.06%
- 5Y*
- 11.51%
- 10Y*
- 22.42%
SMH
- 1D
- -1.63%
- 1M
- 20.06%
- YTD
- 74.25%
- 6M
- 74.08%
- 1Y
- 150.04%
- 3Y*
- 63.96%
- 5Y*
- 38.76%
- 10Y*
- 37.49%
ARKQ vs. SMH - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
ARKQ ARK Autonomous Technology & Robotics ETF | 21.70% | 48.81% | 33.88% | 40.70% | -46.75% | 1.74% | 107.20% | 25.94% | -7.89% | 52.26% |
SMH VanEck Semiconductor ETF | 74.25% | 49.17% | 39.10% | 73.38% | -33.53% | 42.13% | 55.53% | 64.45% | -9.05% | 38.48% |
Correlation
The correlation between ARKQ and SMH is 0.65, 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 | 0.65 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.68 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.73 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.74 |
Correlation (All Time) Calculated using the full available price history since Oct 1, 2014 | 0.72 |
The correlation between ARKQ and SMH has been stable across timeframes, ranging from 0.65 to 0.74 - a consistent structural relationship.
ARKQ vs. SMH - Sectors Allocation Comparison
Sectors
ARKQ
SMH
Industrials
-
Technology
Consumer Cyclical
-
Communication Services
-
Healthcare
-
Energy
-
Utilities
-
Basic Materials
-
-
Consumer Defensive
-
-
Financial Services
-
-
Real Estate
-
-
Industrials
ARKQ
SMH
-
Technology
ARKQ
SMH
Consumer Cyclical
ARKQ
SMH
-
Communication Services
ARKQ
SMH
-
Healthcare
ARKQ
SMH
-
Energy
ARKQ
SMH
-
Utilities
ARKQ
SMH
-
Basic Materials
ARKQ
-
SMH
-
Consumer Defensive
ARKQ
-
SMH
-
Financial Services
ARKQ
-
SMH
-
Real Estate
ARKQ
-
SMH
-
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Return for Risk
ARKQ vs. SMH — Risk / Return Rank
ARKQ
SMH
ARKQ vs. SMH - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for ARK Autonomous Technology & Robotics ETF (ARKQ) 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.
| ARKQ | SMH | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -2.66 | ||
| Sortino ratioReturn per unit of downside risk | -2.23 | ||
| Omega ratioGain probability vs. loss probability | 1.35 | 1.69 | -0.35 |
| Calmar ratioReturn relative to maximum drawdown | 3.61 | 10.11 | -6.50 |
| Martin ratioReturn relative to average drawdown | 10.92 | 38.76 | -27.84 |
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
| ARKQ | SMH | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.29 | 4.94 | -2.66 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.36 | 1.11 | -0.75 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.75 | 1.15 | -0.40 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.66 | 0.34 | +0.33 |
Drawdowns
ARKQ vs. SMH - Drawdown Comparison
The maximum ARKQ drawdown since its inception was -59.89%, smaller than the maximum SMH drawdown of -84.96%. Use the drawdown chart below to compare losses from any high point for ARKQ and SMH.
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Drawdown Indicators
| ARKQ | SMH | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -59.89% | -84.96% | +25.07% |
Max Drawdown (1Y)Largest decline over 1 year | -20.58% | -14.93% | -5.65% |
Max Drawdown (3Y)Largest decline over 3 years | -30.76% | -35.74% | +4.98% |
Max Drawdown (5Y)Largest decline over 5 years | -55.71% | -45.30% | -10.41% |
Max Drawdown (10Y)Largest decline over 10 years | -59.89% | -45.30% | -14.59% |
Current DrawdownCurrent decline from peak | -2.98% | -1.63% | -1.35% |
Average DrawdownAverage peak-to-trough decline | -17.23% | -41.08% | +23.85% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 6.79% | 3.89% | +2.90% |
Volatility
ARKQ vs. SMH - Volatility Comparison
The current volatility for ARK Autonomous Technology & Robotics ETF (ARKQ) is 10.40%, while VanEck Semiconductor ETF (SMH) has a volatility of 11.58%. This indicates that ARKQ experiences smaller price fluctuations and is considered to be less risky 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
| ARKQ | SMH | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 10.40% | 11.58% | -1.18% |
Volatility (6M)Calculated over the trailing 6-month period | 24.44% | 24.35% | +0.09% |
Volatility (1Y)Calculated over the trailing 1-year period | 32.48% | 30.57% | +1.91% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 32.22% | 35.01% | -2.79% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 29.83% | 32.57% | -2.74% |
ARKQ vs. SMH - Expense Ratio Comparison
ARKQ has a 0.75% expense ratio, which is higher than SMH's 0.35% expense ratio.
Dividends
ARKQ vs. SMH - Dividend Comparison
ARKQ's dividend yield for the trailing twelve months is around 0.22%, more than SMH's 0.18% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
ARKQ ARK Autonomous Technology & Robotics ETF | 0.22% | 0.27% | 0.00% | 0.00% | 0.00% | 0.80% | 0.86% | 0.00% | 2.86% | 1.54% | 0.00% | 0.98% |
SMH VanEck Semiconductor ETF | 0.18% | 0.31% | 0.44% | 0.60% | 1.18% | 0.51% | 0.69% | 1.50% | 1.88% | 1.43% | 0.80% | 2.14% |
Frequently Asked Questions
ARKQ and SMH have a correlation of 0.65, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SMH has higher volatility (11.58%) compared to ARKQ (10.40%). In terms of maximum drawdown, ARKQ dropped -59.89% vs SMH's -84.96%.
On 10-year performance, SMH leads with 37.49% vs 22.42% for ARKQ. On fees, SMH is cheaper at 0.35% per year. On volatility, ARKQ has been the lower-risk option at 10.40%. 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 37.49% return vs 22.42%. 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 0.75% for ARKQ.
ARKQ has the higher dividend yield at 0.22%, compared with 0.18% for SMH.
ARKQ is categorized as Robotics, while SMH is Semiconductors. They also come from different issuers: ARK and VanEck. Their fees differ too: 0.75% for ARKQ and 0.35% for SMH.
SMH currently has the higher Sharpe Ratio (4.94 vs 2.29), 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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