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VONG vs. QQQI
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

VONG vs. QQQI - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Vanguard Russell 1000 Growth ETF (VONG) and NEOS Nasdaq-100 High Income ETF (QQQI). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, VONG achieves a 1.56% return, which is significantly lower than QQQI's 9.86% return.


VONG

1D
-1.57%
1M
-3.99%
YTD
1.56%
6M
0.27%
1Y
18.03%
3Y*
21.88%
5Y*
13.07%
10Y*
18.39%

QQQI

1D
-2.87%
1M
-0.93%
YTD
9.86%
6M
8.75%
1Y
24.88%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

VONG vs. QQQI - Yearly Performance Comparison


2026 (YTD)20252024
VONG
Vanguard Russell 1000 Growth ETF
1.56%18.45%26.74%
QQQI
NEOS Nasdaq-100 High Income ETF
9.86%18.62%19.44%

Correlation

The correlation between VONG and QQQI is 0.93, 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

0.93

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

0.95

The correlation between VONG and QQQI has been stable across timeframes, ranging from 0.93 to 0.95 - a consistent structural relationship.

VONG vs. QQQI - Sectors Allocation Comparison


Sectors
VONG
QQQI

Technology

54.1%
58.1%

Consumer Cyclical

12.5%
11.3%

Communication Services

12.0%
14.2%

Healthcare

6.9%
3.9%

Industrials

4.9%
3.0%

Financial Services

4.8%
0.2%

Consumer Defensive

2.5%
6.5%

Utilities

1.0%
1.3%

Real Estate

0.4%
0.1%

Energy

0.4%
0.5%

Basic Materials

0.3%
1.0%

Technology

VONG
54.1%
QQQI
58.1%

Consumer Cyclical

VONG
12.5%
QQQI
11.3%

Communication Services

VONG
12.0%
QQQI
14.2%

Healthcare

VONG
6.9%
QQQI
3.9%

Industrials

VONG
4.9%
QQQI
3.0%

Financial Services

VONG
4.8%
QQQI
0.2%

Consumer Defensive

VONG
2.5%
QQQI
6.5%

Utilities

VONG
1.0%
QQQI
1.3%

Real Estate

VONG
0.4%
QQQI
0.1%

Energy

VONG
0.4%
QQQI
0.5%

Basic Materials

VONG
0.3%
QQQI
1.0%

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Return for Risk

VONG vs. QQQI — Risk / Return Rank

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

VONG
VONG Risk / Return Rank: 2929
Overall Rank
VONG Sharpe Ratio Rank: 3232
Sharpe Ratio Rank
VONG Sortino Ratio Rank: 3030
Sortino Ratio Rank
VONG Omega Ratio Rank: 3030
Omega Ratio Rank
VONG Calmar Ratio Rank: 2424
Calmar Ratio Rank
VONG Martin Ratio Rank: 2727
Martin Ratio Rank

QQQI
QQQI Risk / Return Rank: 5353
Overall Rank
QQQI Sharpe Ratio Rank: 5151
Sharpe Ratio Rank
QQQI Sortino Ratio Rank: 4747
Sortino Ratio Rank
QQQI Omega Ratio Rank: 5252
Omega Ratio Rank
QQQI Calmar Ratio Rank: 5454
Calmar Ratio Rank
QQQI Martin Ratio Rank: 6464
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.

VONG vs. QQQI - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Vanguard Russell 1000 Growth ETF (VONG) and NEOS Nasdaq-100 High Income ETF (QQQI). 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.


VONGQQQIDifference
Sharpe ratioReturn per unit of total volatility

-0.57

Sortino ratioReturn per unit of downside risk

-0.67

Omega ratioGain probability vs. loss probability

1.20

1.32

-0.12

Calmar ratioReturn relative to maximum drawdown

1.12

2.60

-1.49

Martin ratioReturn relative to average drawdown

3.64

11.10

-7.47

VONG vs. QQQI - Sharpe Ratio Comparison

The current VONG Sharpe Ratio is 1.12, which is lower than the QQQI Sharpe Ratio of 1.69. The chart below compares the historical Sharpe Ratios of VONG and QQQI, 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

VONG vs. QQQI - Drawdown Comparison

The maximum VONG drawdown since its inception was -32.72%, which is greater than QQQI's maximum drawdown of -20.00%. Use the drawdown chart below to compare losses from any high point for VONG and QQQI.


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Drawdown Indicators


VONGQQQIDifference

Max Drawdown

Largest peak-to-trough decline

-32.72%

-20.00%

-12.72%

Max Drawdown (1Y)

Largest decline over 1 year

-16.23%

-9.61%

-6.62%

Max Drawdown (3Y)

Largest decline over 3 years

-23.27%

Max Drawdown (5Y)

Largest decline over 5 years

-32.72%

Max Drawdown (10Y)

Largest decline over 10 years

-32.72%

Current Drawdown

Current decline from peak

-6.82%

-3.32%

-3.50%

Average Drawdown

Average peak-to-trough decline

-4.88%

-2.20%

-2.68%

Ulcer Index

Depth and duration of drawdowns from previous peaks

4.97%

2.25%

+2.72%

Volatility

VONG vs. QQQI - Volatility Comparison

The current volatility for Vanguard Russell 1000 Growth ETF (VONG) is 6.04%, while NEOS Nasdaq-100 High Income ETF (QQQI) has a volatility of 7.63%. This indicates that VONG experiences smaller price fluctuations and is considered to be less risky than QQQI based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


VONGQQQIDifference

Volatility (1M)

Calculated over the trailing 1-month period

6.04%

7.63%

-1.59%

Volatility (6M)

Calculated over the trailing 6-month period

12.59%

11.99%

+0.60%

Volatility (1Y)

Calculated over the trailing 1-year period

16.17%

14.79%

+1.38%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

21.45%

17.53%

+3.92%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

20.92%

17.53%

+3.39%

VONG vs. QQQI - Expense Ratio Comparison

VONG has a 0.06% expense ratio, which is lower than QQQI's 0.68% expense ratio.


Dividends

VONG vs. QQQI - Dividend Comparison

VONG's dividend yield for the trailing twelve months is around 0.47%, less than QQQI's 14.97% yield.


PositionTTM20252024202320222021202020192018201720162015
QQQI
NEOS Nasdaq-100 High Income ETF
14.97%13.82%12.85%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
VONG
Vanguard Russell 1000 Growth ETF
0.47%0.45%0.55%0.71%0.98%0.58%0.77%1.03%1.18%1.19%1.48%1.47%

Frequently Asked Questions


With a correlation of 0.93, VONG and QQQI move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.

QQQI has higher volatility (7.63%) compared to VONG (6.04%). In terms of maximum drawdown, VONG dropped -32.72% vs QQQI's -20.00%.

On 1-year performance, QQQI leads with 24.88% vs 18.03% for VONG. On fees, VONG is cheaper at 0.06% per year. On volatility, VONG has been the lower-risk option at 6.04%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, QQQI has performed better with a 24.88% return vs 18.03%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

VONG is cheaper with a 0.06% expense ratio, compared with 0.68% for QQQI.

QQQI has the higher dividend yield at 14.97%, compared with 0.47% for VONG.

VONG is categorized as Large Cap Growth Equities, while QQQI is Nasdaq-100. They also come from different issuers: Vanguard and Neos. Their fees differ too: 0.06% for VONG and 0.68% for QQQI.

QQQI currently has the higher Sharpe Ratio (1.69 vs 1.12), 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 VONG and QQQI

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