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QQQI vs. VYM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

QQQI vs. VYM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in NEOS Nasdaq-100 High Income ETF (QQQI) and Vanguard High Dividend Yield ETF (VYM). 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 10.04% return, which is significantly lower than VYM's 13.19% return.


QQQI

1D
1.77%
1M
-2.68%
6M
10.99%
YTD
10.04%
1Y
19.87%
3Y*
5Y*
10Y*
ALL TIME*
19.68%

VYM

1D
0.68%
1M
1.45%
6M
10.83%
YTD
13.19%
1Y
22.20%
3Y*
16.77%
5Y*
12.25%
10Y*
11.43%
ALL TIME*
9.34%
*Multi-year figures are annualized to reflect compound growth (CAGR)

QQQI vs. VYM - Yearly Performance Comparison


2026 (YTD)20252024
QQQI
NEOS Nasdaq-100 High Income ETF
10.04%18.62%19.44%
VYM
Vanguard High Dividend Yield ETF
13.19%15.42%15.84%

Correlation

The correlation between QQQI and VYM is 0.51, 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

0.51

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

0.54

The correlation between QQQI and VYM has been stable across timeframes, ranging from 0.51 to 0.54 - a consistent structural relationship.

QQQI vs. VYM - Sectors Allocation Comparison


Sectors
QQQI
VYM

Technology

58.9%
17.8%

Communication Services

13.2%
3.0%

Consumer Cyclical

10.5%
6.8%

Consumer Defensive

6.2%
8.1%

Industrials

4.1%
12.6%

Healthcare

3.6%
13.2%

Utilities

1.1%
5.7%

Basic Materials

1.0%
3.3%

Energy

0.5%
8.6%

Financial Services

0.2%
21.0%

Real Estate

0.1%
0.0%

Technology

QQQI
58.9%
VYM
17.8%

Communication Services

QQQI
13.2%
VYM
3.0%

Consumer Cyclical

QQQI
10.5%
VYM
6.8%

Consumer Defensive

QQQI
6.2%
VYM
8.1%

Industrials

QQQI
4.1%
VYM
12.6%

Healthcare

QQQI
3.6%
VYM
13.2%

Utilities

QQQI
1.1%
VYM
5.7%

Basic Materials

QQQI
1.0%
VYM
3.3%

Energy

QQQI
0.5%
VYM
8.6%

Financial Services

QQQI
0.2%
VYM
21.0%

Real Estate

QQQI
0.1%
VYM
0.0%

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Return for Risk

QQQI vs. VYM — Risk / Return Rank

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

QQQI
QQQI Risk / Return Rank: 5353
Overall Rank
QQQI Sharpe Ratio Rank: 4949
Sharpe Ratio Rank
QQQI Sortino Ratio Rank: 4646
Sortino Ratio Rank
QQQI Omega Ratio Rank: 4949
Omega Ratio Rank
QQQI Calmar Ratio Rank: 5656
Calmar Ratio Rank
QQQI Martin Ratio Rank: 6464
Martin Ratio Rank

VYM
VYM Risk / Return Rank: 8686
Overall Rank
VYM Sharpe Ratio Rank: 8888
Sharpe Ratio Rank
VYM Sortino Ratio Rank: 8989
Sortino Ratio Rank
VYM Omega Ratio Rank: 8787
Omega Ratio Rank
VYM Calmar Ratio Rank: 8484
Calmar Ratio Rank
VYM Martin Ratio Rank: 8484
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. VYM - Risk-Adjusted Trends Comparison

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


QQQIVYMDifference
Sharpe ratioReturn per unit of total volatility

-0.91

Sortino ratioReturn per unit of downside risk

-1.39

Omega ratioGain probability vs. loss probability

1.24

1.40

-0.16

Calmar ratioReturn relative to maximum drawdown

2.08

3.33

-1.25

Martin ratioReturn relative to average drawdown

8.34

12.37

-4.03

QQQI vs. VYM - Sharpe Ratio Comparison

The current QQQI Sharpe Ratio is 1.27, which is lower than the VYM Sharpe Ratio of 2.18. The chart below compares the historical Sharpe Ratios of QQQI and VYM, 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. VYM - Drawdown Comparison

The maximum QQQI drawdown since its inception was -20.00%, smaller than the maximum VYM drawdown of -56.98%. Use the drawdown chart below to compare losses from any high point for QQQI and VYM.


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Drawdown Indicators


QQQIVYMDifference

Max Drawdown

Largest peak-to-trough decline

-20.00%

-56.98%

+36.98%

Max Drawdown (1Y)

Largest decline over 1 year

-9.61%

-6.69%

-2.92%

Max Drawdown (3Y)

Largest decline over 3 years

-14.46%

Max Drawdown (5Y)

Largest decline over 5 years

-15.84%

Max Drawdown (10Y)

Largest decline over 10 years

-35.21%

Current Drawdown

Current decline from peak

-3.16%

-0.35%

-2.81%

Average Drawdown

Average peak-to-trough decline

-2.22%

-7.15%

+4.93%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.39%

1.80%

+0.59%

Volatility

QQQI vs. VYM - Volatility Comparison

NEOS Nasdaq-100 High Income ETF (QQQI) has a higher volatility of 6.40% compared to Vanguard High Dividend Yield ETF (VYM) at 1.89%. This indicates that QQQI's price experiences larger fluctuations and is considered to be riskier than VYM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


QQQIVYMDifference

Volatility (1M)

Calculated over the trailing 1-month period

6.40%

1.89%

+4.51%

Volatility (6M)

Calculated over the trailing 6-month period

13.06%

7.52%

+5.54%

Volatility (1Y)

Calculated over the trailing 1-year period

15.68%

10.22%

+5.46%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.62%

13.86%

+3.76%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

17.62%

16.29%

+1.33%

QQQI vs. VYM - Expense Ratio Comparison

QQQI has a 0.68% expense ratio, which is higher than VYM's 0.04% expense ratio.


Dividends

QQQI vs. VYM - Dividend Comparison

QQQI's dividend yield for the trailing twelve months is around 13.81%, more than VYM's 2.26% yield.


PositionTTM20252024202320222021202020192018201720162015
QQQI
NEOS Nasdaq-100 High Income ETF
13.81%13.82%12.85%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
VYM
Vanguard High Dividend Yield ETF
2.26%2.44%2.74%3.12%3.01%2.76%3.18%3.03%3.40%2.80%2.91%3.22%

Frequently Asked Questions


QQQI and VYM have a correlation of 0.51, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

QQQI has higher volatility (6.40%) compared to VYM (1.89%). In terms of maximum drawdown, QQQI dropped -20.00% vs VYM's -56.98%.

On 1-year performance, VYM leads with 22.20% vs 19.87% for QQQI. On fees, VYM is cheaper at 0.04% per year. On volatility, VYM has been the lower-risk option at 1.89%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, VYM has performed better with a 22.20% return vs 19.87%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

VYM is cheaper with a 0.04% expense ratio, compared with 0.68% for QQQI.

QQQI has the higher dividend yield at 13.81%, compared with 2.26% for VYM.

QQQI is categorized as Nasdaq-100, while VYM is Dividend. They also come from different issuers: Neos and Vanguard. Their fees differ too: 0.68% for QQQI and 0.04% for VYM.

VYM currently has the higher Sharpe Ratio (2.18 vs 1.27), 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 VYM

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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