VONG vs. QTUM
VONG (Vanguard Russell 1000 Growth ETF) and QTUM (Defiance Quantum ETF) are both exchange-traded funds - VONG is a Large Cap Growth Equities fund tracking the Russell 1000 Growth Index, while QTUM is a Technology Equities fund tracking the BlueStar Machine Learning and Quantum Computing Index. Both are passively managed. Over the past 5 years, VONG returned 14.57%/yr vs 27.81%/yr for QTUM. Their correlation of 0.82 suggests significant overlap in exposure. VONG charges 0.06%/yr vs 0.40%/yr for QTUM.
Performance
VONG vs. QTUM - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, VONG achieves a 4.12% return, which is significantly lower than QTUM's 44.14% return.
VONG
- 1D
- 0.21%
- 1M
- -0.46%
- YTD
- 4.12%
- 6M
- 3.06%
- 1Y
- 21.24%
- 3Y*
- 23.77%
- 5Y*
- 14.57%
- 10Y*
- 18.32%
QTUM
- 1D
- 3.25%
- 1M
- 8.85%
- YTD
- 44.14%
- 6M
- 39.20%
- 1Y
- 80.80%
- 3Y*
- 48.48%
- 5Y*
- 27.81%
- 10Y*
- —
VONG vs. QTUM - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | |
|---|---|---|---|---|---|---|---|---|---|
VONG Vanguard Russell 1000 Growth ETF | 4.12% | 18.45% | 33.20% | 42.67% | -29.18% | 27.60% | 38.30% | 36.06% | -15.25% |
QTUM Defiance Quantum ETF | 44.14% | 36.65% | 50.54% | 39.86% | -28.80% | 35.18% | 42.05% | 47.99% | -19.44% |
Correlation
The correlation between VONG and QTUM is 0.75, 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 | 0.75 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.76 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.83 |
Correlation (All Time) Calculated using the full available price history since Sep 5, 2018 | 0.82 |
The correlation between VONG and QTUM has been stable across timeframes, ranging from 0.75 to 0.83 - a consistent structural relationship.
VONG vs. QTUM - Sectors Allocation Comparison
Sectors
VONG
QTUM
Technology
Communication Services
Consumer Cyclical
Healthcare
Industrials
Financial Services
-
Consumer Defensive
-
Real Estate
-
Energy
-
Basic Materials
-
Utilities
-
Technology
VONG
QTUM
Communication Services
VONG
QTUM
Consumer Cyclical
VONG
QTUM
Healthcare
VONG
QTUM
Industrials
VONG
QTUM
Financial Services
VONG
QTUM
-
Consumer Defensive
VONG
QTUM
-
Real Estate
VONG
QTUM
-
Energy
VONG
QTUM
-
Basic Materials
VONG
QTUM
-
Utilities
VONG
QTUM
-
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
VONG vs. QTUM — Risk / Return Rank
VONG
QTUM
VONG vs. QTUM - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Vanguard Russell 1000 Growth ETF (VONG) and Defiance Quantum ETF (QTUM). 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.
| VONG | QTUM | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.57 | ||
| Sortino ratioReturn per unit of downside risk | -1.55 | ||
| Omega ratioGain probability vs. loss probability | 1.24 | 1.47 | -0.22 |
| Calmar ratioReturn relative to maximum drawdown | 1.31 | 5.32 | -4.01 |
| Martin ratioReturn relative to average drawdown | 4.39 | 19.76 | -15.37 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
Loading charts...
Sharpe Ratios by Period
| VONG | QTUM | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 1.36 | 2.94 | -1.57 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.69 | 1.04 | -0.36 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.88 | — | — |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.89 | 1.03 | -0.14 |
Drawdowns
VONG vs. QTUM - Drawdown Comparison
The maximum VONG drawdown since its inception was -32.72%, smaller than the maximum QTUM drawdown of -38.45%. Use the drawdown chart below to compare losses from any high point for VONG and QTUM.
Loading charts...
Drawdown Indicators
| VONG | QTUM | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -32.72% | -38.45% | +5.73% |
Max Drawdown (1Y)Largest decline over 1 year | -16.23% | -15.26% | -0.97% |
Max Drawdown (3Y)Largest decline over 3 years | -23.27% | -25.39% | +2.12% |
Max Drawdown (5Y)Largest decline over 5 years | -32.72% | -38.45% | +5.73% |
Max Drawdown (10Y)Largest decline over 10 years | -32.72% | — | — |
Current DrawdownCurrent decline from peak | -4.47% | -6.53% | +2.06% |
Average DrawdownAverage peak-to-trough decline | -4.88% | -8.25% | +3.37% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.85% | 4.10% | +0.75% |
Volatility
VONG vs. QTUM - Volatility Comparison
The current volatility for Vanguard Russell 1000 Growth ETF (VONG) is 4.78%, while Defiance Quantum ETF (QTUM) has a volatility of 13.41%. This indicates that VONG experiences smaller price fluctuations and is considered to be less risky than QTUM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| VONG | QTUM | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 4.78% | 13.41% | -8.63% |
Volatility (6M)Calculated over the trailing 6-month period | 12.08% | 22.31% | -10.23% |
Volatility (1Y)Calculated over the trailing 1-year period | 15.71% | 27.73% | -12.02% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 21.38% | 26.85% | -5.47% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 20.90% | 27.34% | -6.44% |
VONG vs. QTUM - Expense Ratio Comparison
VONG has a 0.06% expense ratio, which is lower than QTUM's 0.40% expense ratio.
Dividends
VONG vs. QTUM - Dividend Comparison
VONG's dividend yield for the trailing twelve months is around 0.44%, less than QTUM's 0.74% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
QTUM Defiance Quantum ETF | 0.74% | 1.01% | 0.61% | 0.81% | 1.46% | 0.48% | 0.42% | 0.61% | 0.21% | 0.00% | 0.00% | 0.00% |
VONG Vanguard Russell 1000 Growth ETF | 0.44% | 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
VONG and QTUM have a correlation of 0.75, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
QTUM has higher volatility (13.41%) compared to VONG (4.78%). In terms of maximum drawdown, VONG dropped -32.72% vs QTUM's -38.45%.
On 5-year performance, QTUM leads with 27.81% vs 14.57% for VONG. On fees, VONG is cheaper at 0.06% per year. On volatility, VONG has been the lower-risk option at 4.78%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 5-year period, QTUM has performed better with a 27.81% return vs 14.57%. 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 0.40% for QTUM.
QTUM has the higher dividend yield at 0.74%, compared with 0.44% for VONG.
VONG is categorized as Large Cap Growth Equities, while QTUM is Technology Equities. VONG tracks Russell 1000 Growth Index, while QTUM tracks BlueStar Machine Learning and Quantum Computing Index. They also come from different issuers: Vanguard and Defiance. Their fees differ too: 0.06% for VONG and 0.40% for QTUM.
QTUM currently has the higher Sharpe Ratio (2.94 vs 1.36), 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.
Find the right allocation for VONG and QTUM
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer