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QQQI vs. SMH
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

QQQI vs. SMH - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in NEOS Nasdaq-100 High Income ETF (QQQI) and VanEck Semiconductor ETF (SMH). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, QQQI achieves a 13.53% return, which is significantly lower than SMH's 79.69% return.


QQQI

1D
2.67%
1M
3.39%
YTD
13.53%
6M
14.57%
1Y
30.39%
3Y*
5Y*
10Y*

SMH

1D
4.38%
1M
16.31%
YTD
79.69%
6M
83.94%
1Y
152.58%
3Y*
62.32%
5Y*
39.72%
10Y*
38.18%
*Multi-year figures are annualized to reflect compound growth (CAGR)

QQQI vs. SMH - Yearly Performance Comparison


2026 (YTD)20252024
QQQI
NEOS Nasdaq-100 High Income ETF
13.53%18.62%19.44%
SMH
VanEck Semiconductor ETF
79.69%49.17%27.70%

Correlation

The correlation between QQQI and SMH is 0.84, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.84

Correlation (All Time)
Calculated using the full available price history since Jan 30, 2024

0.85

The correlation between QQQI and SMH has been stable across timeframes, ranging from 0.84 to 0.85 - a consistent structural relationship.

QQQI vs. SMH - Sectors Allocation Comparison


Sectors
QQQI
SMH

Technology

58.1%
100.0%

Communication Services

14.2%

-

Consumer Cyclical

11.3%

-

Consumer Defensive

6.5%

-

Healthcare

3.9%

-

Industrials

3.0%

-

Utilities

1.3%

-

Basic Materials

1.0%

-

Energy

0.5%

-

Financial Services

0.2%

-

Real Estate

0.1%

-

Technology

QQQI
58.1%
SMH
100.0%

Communication Services

QQQI
14.2%
SMH

-

Consumer Cyclical

QQQI
11.3%
SMH

-

Consumer Defensive

QQQI
6.5%
SMH

-

Healthcare

QQQI
3.9%
SMH

-

Industrials

QQQI
3.0%
SMH

-

Utilities

QQQI
1.3%
SMH

-

Basic Materials

QQQI
1.0%
SMH

-

Energy

QQQI
0.5%
SMH

-

Financial Services

QQQI
0.2%
SMH

-

Real Estate

QQQI
0.1%
SMH

-

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Return for Risk

QQQI vs. SMH — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

QQQI
QQQI Risk / Return Rank: 7474
Overall Rank
QQQI Sharpe Ratio Rank: 7575
Sharpe Ratio Rank
QQQI Sortino Ratio Rank: 6969
Sortino Ratio Rank
QQQI Omega Ratio Rank: 7676
Omega Ratio Rank
QQQI Calmar Ratio Rank: 7070
Calmar Ratio Rank
QQQI Martin Ratio Rank: 7979
Martin Ratio Rank

SMH
SMH Risk / Return Rank: 9696
Overall Rank
SMH Sharpe Ratio Rank: 9898
Sharpe Ratio Rank
SMH Sortino Ratio Rank: 9595
Sortino Ratio Rank
SMH Omega Ratio Rank: 9595
Omega Ratio Rank
SMH Calmar Ratio Rank: 9797
Calmar Ratio Rank
SMH Martin Ratio Rank: 9797
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

QQQI vs. SMH - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for NEOS Nasdaq-100 High Income ETF (QQQI) 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.


QQQISMHDifference
Sharpe ratioReturn per unit of total volatility

-2.47

Sortino ratioReturn per unit of downside risk

-1.80

Omega ratioGain probability vs. loss probability

1.40

1.65

-0.25

Calmar ratioReturn relative to maximum drawdown

3.18

10.28

-7.10

Martin ratioReturn relative to average drawdown

13.66

37.77

-24.10

QQQI vs. SMH - Sharpe Ratio Comparison

The current QQQI Sharpe Ratio is 2.14, which is lower than the SMH Sharpe Ratio of 4.61. The chart below compares the historical Sharpe Ratios of QQQI and SMH, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

QQQI vs. SMH - Drawdown Comparison

The maximum QQQI drawdown since its inception was -20.00%, smaller than the maximum SMH drawdown of -84.96%. Use the drawdown chart below to compare losses from any high point for QQQI and SMH.


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Drawdown Indicators


QQQISMHDifference

Max Drawdown

Largest peak-to-trough decline

-20.00%

-84.96%

+64.96%

Max Drawdown (1Y)

Largest decline over 1 year

-9.61%

-14.93%

+5.32%

Max Drawdown (3Y)

Largest decline over 3 years

-35.74%

Max Drawdown (5Y)

Largest decline over 5 years

-45.30%

Max Drawdown (10Y)

Largest decline over 10 years

-45.30%

Current Drawdown

Current decline from peak

-0.09%

0.00%

-0.09%

Average Drawdown

Average peak-to-trough decline

-2.21%

-41.04%

+38.83%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.23%

4.06%

-1.83%

Volatility

QQQI vs. SMH - Volatility Comparison

The current volatility for NEOS Nasdaq-100 High Income ETF (QQQI) is 6.63%, while VanEck Semiconductor ETF (SMH) has a volatility of 16.71%. This indicates that QQQI 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


QQQISMHDifference

Volatility (1M)

Calculated over the trailing 1-month period

6.63%

16.71%

-10.08%

Volatility (6M)

Calculated over the trailing 6-month period

11.63%

27.97%

-16.34%

Volatility (1Y)

Calculated over the trailing 1-year period

14.33%

33.39%

-19.06%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.41%

35.53%

-18.12%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

17.41%

32.86%

-15.45%

QQQI vs. SMH - Expense Ratio Comparison

QQQI has a 0.68% expense ratio, which is higher than SMH's 0.35% expense ratio.


Dividends

QQQI vs. SMH - Dividend Comparison

QQQI's dividend yield for the trailing twelve months is around 13.18%, more than SMH's 0.17% yield.


PositionTTM20252024202320222021202020192018201720162015
QQQI
NEOS Nasdaq-100 High Income ETF
13.18%13.82%12.85%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
SMH
VanEck Semiconductor ETF
0.17%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


QQQI and SMH have a correlation of 0.84, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SMH has higher volatility (16.71%) compared to QQQI (6.63%). In terms of maximum drawdown, QQQI dropped -20.00% vs SMH's -84.96%.

On 1-year performance, SMH leads with 152.58% vs 30.39% for QQQI. On fees, SMH is cheaper at 0.35% per year. On volatility, QQQI has been the lower-risk option at 6.63%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, SMH has performed better with a 152.58% return vs 30.39%. 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 0.68% for QQQI.

QQQI has the higher dividend yield at 13.18%, compared with 0.17% for SMH.

QQQI is categorized as Nasdaq-100, while SMH is Semiconductors. They also come from different issuers: Neos and VanEck. Their fees differ too: 0.68% for QQQI and 0.35% for SMH.

SMH currently has the higher Sharpe Ratio (4.61 vs 2.14), 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.

Portfolio Optimizer

Find the right allocation for QQQI and SMH

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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