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SPYI vs. SOXY
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SPYI vs. SOXY - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in NEOS S&P 500 High Income ETF (SPYI) and YieldMax Target 12™ Semiconductor Option Income ETF (SOXY). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, SPYI achieves a 9.18% return, which is significantly lower than SOXY's 59.66% return.


SPYI

1D
1.14%
1M
1.76%
6M
7.18%
YTD
9.18%
1Y
20.03%
3Y*
15.87%
5Y*
10Y*
ALL TIME*
14.81%

SOXY

1D
0.84%
1M
-11.28%
6M
41.13%
YTD
59.66%
1Y
95.22%
3Y*
5Y*
10Y*
ALL TIME*
59.08%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$2.13M$2.40M$2.09M
$155.96M$140.10M$149.40M

SPYI vs. SOXY - Yearly Performance Comparison


2026 (YTD)20252024
SPYI
NEOS S&P 500 High Income ETF
9.18%16.67%-1.99%
SOXY
YieldMax Target 12™ Semiconductor Option Income ETF
59.66%37.00%-0.99%

Correlation

The correlation between SPYI and SOXY is 0.74, which is moderate. They have sometimes moved together and sometimes differently, sharing some price drivers without tracking each other closely.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.74

Correlation (All Time)
Calculated using the full available price history since Dec 3, 2024

0.76

The correlation between SPYI and SOXY has been stable across timeframes, ranging from 0.74 to 0.76 - a consistent structural relationship.

SPYI vs. SOXY - Sectors Allocation Comparison


Sectors
SPYI
SOXY

Technology

38.3%
100.0%

Financial Services

11.7%
0.1%

Communication Services

10.0%
0.0%

Consumer Cyclical

9.6%
0.0%

Healthcare

8.9%
0.0%

Industrials

8.4%
0.0%

Consumer Defensive

4.6%
0.0%

Energy

3.0%
0.0%

Utilities

2.2%
0.0%

Real Estate

1.8%

-

Basic Materials

1.7%
0.0%

Technology

SPYI
38.3%
SOXY
100.0%

Financial Services

SPYI
11.7%
SOXY
0.1%

Communication Services

SPYI
10.0%
SOXY
0.0%

Consumer Cyclical

SPYI
9.6%
SOXY
0.0%

Healthcare

SPYI
8.9%
SOXY
0.0%

Industrials

SPYI
8.4%
SOXY
0.0%

Consumer Defensive

SPYI
4.6%
SOXY
0.0%

Energy

SPYI
3.0%
SOXY
0.0%

Utilities

SPYI
2.2%
SOXY
0.0%

Real Estate

SPYI
1.8%
SOXY

-

Basic Materials

SPYI
1.7%
SOXY
0.0%

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Return for Risk

SPYI vs. SOXY — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

SPYI
SPYI Risk / Return Rank: 8080
Overall Rank
SPYI Sharpe Ratio Rank: 8080
Sharpe Ratio Rank
SPYI Sortino Ratio Rank: 7979
Sortino Ratio Rank
SPYI Omega Ratio Rank: 8282
Omega Ratio Rank
SPYI Calmar Ratio Rank: 7474
Calmar Ratio Rank
SPYI Martin Ratio Rank: 8686
Martin Ratio Rank

SOXY
SOXY Risk / Return Rank: 8787
Overall Rank
SOXY Sharpe Ratio Rank: 9292
Sharpe Ratio Rank
SOXY Sortino Ratio Rank: 8484
Sortino Ratio Rank
SOXY Omega Ratio Rank: 8585
Omega Ratio Rank
SOXY Calmar Ratio Rank: 8585
Calmar Ratio Rank
SOXY Martin Ratio Rank: 9090
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

SPYI vs. SOXY - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for NEOS S&P 500 High Income ETF (SPYI) and YieldMax Target 12™ Semiconductor Option Income ETF (SOXY). 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.


SPYISOXYDifference
Sharpe ratioReturn per unit of total volatility

-0.53

Sortino ratioReturn per unit of downside risk

-0.23

Omega ratioGain probability vs. loss probability

1.36

1.38

-0.02

Calmar ratioReturn relative to maximum drawdown

2.61

3.35

-0.74

Martin ratioReturn relative to average drawdown

12.52

14.82

-2.30

SPYI vs. SOXY - Sharpe Ratio Comparison

The current SPYI Sharpe Ratio is 1.87, which is comparable to the SOXY Sharpe Ratio of 2.41. The chart below compares the historical Sharpe Ratios of SPYI and SOXY, 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

SPYI vs. SOXY - Drawdown Comparison

The maximum SPYI drawdown since its inception was -16.47%, smaller than the maximum SOXY drawdown of -30.22%. Use the drawdown chart below to compare losses from any high point for SPYI and SOXY.


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Drawdown Indicators


SPYISOXYDifference

Max Drawdown

Largest peak-to-trough decline

-16.47%

-30.22%

+13.75%

Max Drawdown (1Y)

Largest decline over 1 year

-7.72%

-28.56%

+20.84%

Max Drawdown (3Y)

Largest decline over 3 years

-16.47%

Current Drawdown

Current decline from peak

0.00%

-21.05%

+21.05%

Average Drawdown

Average peak-to-trough decline

-1.79%

-5.53%

+3.74%

Ulcer Index

Depth and duration of drawdowns from previous peaks

1.60%

6.45%

-4.85%

Volatility

SPYI vs. SOXY - Volatility Comparison

The current volatility for NEOS S&P 500 High Income ETF (SPYI) is 3.40%, while YieldMax Target 12™ Semiconductor Option Income ETF (SOXY) has a volatility of 17.94%. This indicates that SPYI experiences smaller price fluctuations and is considered to be less risky than SOXY based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SPYISOXYDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.40%

17.94%

-14.54%

Volatility (6M)

Calculated over the trailing 6-month period

8.75%

35.55%

-26.80%

Volatility (1Y)

Calculated over the trailing 1-year period

10.78%

39.88%

-29.10%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

12.97%

39.26%

-26.29%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

12.97%

39.26%

-26.29%

SPYI vs. SOXY - Expense Ratio Comparison

SPYI has a 0.68% expense ratio, which is lower than SOXY's 1.06% expense ratio.


Dividends

SPYI vs. SOXY - Dividend Comparison

SPYI's dividend yield for the trailing twelve months is around 11.80%, more than SOXY's 9.34% yield.


PositionTTM2025202420232022
SOXY
YieldMax Target 12™ Semiconductor Option Income ETF
9.34%11.47%0.00%0.00%0.00%
SPYI
NEOS S&P 500 High Income ETF
11.80%11.70%12.04%12.01%4.10%

Frequently Asked Questions


SPYI and SOXY have a correlation of 0.74, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SOXY has higher volatility (17.94%) compared to SPYI (3.40%). In terms of maximum drawdown, SPYI dropped -16.47% vs SOXY's -30.22%.

On 1-year performance, SOXY leads with 95.22% vs 20.03% for SPYI. On fees, SPYI is cheaper at 0.68% per year. On volatility, SPYI has been the lower-risk option at 3.40%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, SOXY has performed better with a 95.22% return vs 20.03%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SPYI is cheaper with a 0.68% expense ratio, compared with 1.06% for SOXY.

SPYI has the higher dividend yield at 11.80%, compared with 9.34% for SOXY.

They also come from different issuers: Neos and YieldMax. Their fees differ too: 0.68% for SPYI and 1.06% for SOXY.

SOXY currently has the higher Sharpe Ratio (2.41 vs 1.87), 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 SPYI and SOXY

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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