VONG vs. FTEC
VONG (Vanguard Russell 1000 Growth ETF) and FTEC (Fidelity MSCI Information Technology Index ETF) are both exchange-traded funds - VONG is a Large Cap Growth Equities fund tracking the Russell 1000 Growth Index, while FTEC is a Technology Equities fund tracking the MSCI USA IMI Information Technology 25/50 Index. Both are passively managed. Over the past 10 years, VONG returned 18.29%/yr vs 24.98%/yr for FTEC. Their correlation of 0.95 suggests significant overlap in exposure. VONG charges 0.06%/yr vs 0.08%/yr for FTEC.
Performance
VONG vs. FTEC - Performance Comparison
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Returns By Period
In the year-to-date period, VONG achieves a 2.96% return, which is significantly lower than FTEC's 24.27% return. Over the past 10 years, VONG has underperformed FTEC with an annualized return of 18.29%, while FTEC has yielded a comparatively higher 24.98% annualized return.
VONG
- 1D
- 0.10%
- 1M
- -2.20%
- YTD
- 2.96%
- 6M
- 3.46%
- 1Y
- 20.50%
- 3Y*
- 22.47%
- 5Y*
- 14.01%
- 10Y*
- 18.29%
FTEC
- 1D
- 0.61%
- 1M
- 3.09%
- YTD
- 24.27%
- 6M
- 24.36%
- 1Y
- 51.03%
- 3Y*
- 30.29%
- 5Y*
- 20.63%
- 10Y*
- 24.98%
VONG vs. FTEC - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
VONG Vanguard Russell 1000 Growth ETF | 2.96% | 18.45% | 33.20% | 42.67% | -29.18% | 27.60% | 38.30% | 36.06% | -1.53% | 30.05% |
FTEC Fidelity MSCI Information Technology Index ETF | 24.27% | 22.11% | 29.40% | 53.30% | -29.59% | 30.49% | 45.83% | 48.93% | -0.39% | 36.83% |
Correlation
The correlation between VONG and FTEC is 0.91, 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 | 0.91 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.94 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.96 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.96 |
Correlation (All Time) Calculated using the full available price history since Oct 24, 2013 | 0.95 |
The correlation between VONG and FTEC has been stable across timeframes, ranging from 0.91 to 0.96 - a consistent structural relationship.
VONG vs. FTEC - Sectors Allocation Comparison
Sectors
VONG
FTEC
Technology
Communication Services
Consumer Cyclical
Healthcare
-
Industrials
Financial Services
Consumer Defensive
-
Real Estate
-
Energy
Basic Materials
Utilities
-
Technology
VONG
FTEC
Communication Services
VONG
FTEC
Consumer Cyclical
VONG
FTEC
Healthcare
VONG
FTEC
-
Industrials
VONG
FTEC
Financial Services
VONG
FTEC
Consumer Defensive
VONG
FTEC
-
Real Estate
VONG
FTEC
-
Energy
VONG
FTEC
Basic Materials
VONG
FTEC
Utilities
VONG
FTEC
-
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Return for Risk
VONG vs. FTEC — Risk / Return Rank
VONG
FTEC
VONG vs. FTEC - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Vanguard Russell 1000 Growth ETF (VONG) and Fidelity MSCI Information Technology Index ETF (FTEC). 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.
| VONG | FTEC | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.01 | ||
| Sortino ratioReturn per unit of downside risk | -1.09 | ||
| Omega ratioGain probability vs. loss probability | 1.21 | 1.37 | -0.15 |
| Calmar ratioReturn relative to maximum drawdown | 1.17 | 3.00 | -1.83 |
| Martin ratioReturn relative to average drawdown | 3.87 | 9.36 | -5.49 |
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Drawdowns
VONG vs. FTEC - Drawdown Comparison
The maximum VONG drawdown since its inception was -32.72%, smaller than the maximum FTEC drawdown of -34.95%. Use the drawdown chart below to compare losses from any high point for VONG and FTEC.
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Drawdown Indicators
| VONG | FTEC | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -32.72% | -34.95% | +2.23% |
Max Drawdown (1Y)Largest decline over 1 year | -16.23% | -16.26% | +0.03% |
Max Drawdown (3Y)Largest decline over 3 years | -23.27% | -27.30% | +4.03% |
Max Drawdown (5Y)Largest decline over 5 years | -32.72% | -34.95% | +2.23% |
Max Drawdown (10Y)Largest decline over 10 years | -32.72% | -34.95% | +2.23% |
Current DrawdownCurrent decline from peak | -5.52% | -7.18% | +1.66% |
Average DrawdownAverage peak-to-trough decline | -4.88% | -5.57% | +0.69% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.91% | 5.21% | -0.30% |
Volatility
VONG vs. FTEC - Volatility Comparison
The current volatility for Vanguard Russell 1000 Growth ETF (VONG) is 5.30%, while Fidelity MSCI Information Technology Index ETF (FTEC) has a volatility of 10.02%. This indicates that VONG experiences smaller price fluctuations and is considered to be less risky than FTEC based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| VONG | FTEC | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 5.30% | 10.02% | -4.72% |
Volatility (6M)Calculated over the trailing 6-month period | 12.35% | 18.06% | -5.71% |
Volatility (1Y)Calculated over the trailing 1-year period | 15.87% | 22.07% | -6.20% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 21.39% | 25.45% | -4.06% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 20.91% | 24.81% | -3.90% |
VONG vs. FTEC - Expense Ratio Comparison
VONG has a 0.06% expense ratio, which is lower than FTEC's 0.08% expense ratio. Despite the difference, both funds are considered low-cost compared to the broader market, where average expense ratios usually range from 0.3% to 0.9%.
Dividends
VONG vs. FTEC - Dividend Comparison
VONG's dividend yield for the trailing twelve months is around 0.44%, more than FTEC's 0.34% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
FTEC Fidelity MSCI Information Technology Index ETF | 0.34% | 0.43% | 0.49% | 0.77% | 0.93% | 0.63% | 0.83% | 1.03% | 1.20% | 0.96% | 1.25% | 1.27% |
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
With a correlation of 0.91, VONG and FTEC 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.
FTEC has higher volatility (10.02%) compared to VONG (5.30%). In terms of maximum drawdown, VONG dropped -32.72% vs FTEC's -34.95%.
On 10-year performance, FTEC leads with 24.98% vs 18.29% for VONG. On fees, VONG is cheaper at 0.06% per year. On volatility, VONG has been the lower-risk option at 5.30%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, FTEC has performed better with a 24.98% return vs 18.29%. 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 0.08% for FTEC.
VONG has the higher dividend yield at 0.44%, compared with 0.34% for FTEC.
VONG is categorized as Large Cap Growth Equities, while FTEC is Technology Equities. VONG tracks Russell 1000 Growth Index, while FTEC tracks MSCI USA IMI Information Technology 25/50 Index. They also come from different issuers: Vanguard and Fidelity. Their fees differ too: 0.06% for VONG and 0.08% for FTEC.
FTEC currently has the higher Sharpe Ratio (2.21 vs 1.20), 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.
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