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VV vs. GC=F
Performance
Return for Risk
Drawdowns
Volatility

Performance

VV vs. GC=F - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Vanguard Large-Cap ETF (VV) and Gold Futures (GC=F). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period


VV

1D
0.47%
1M
0.04%
YTD
8.77%
6M
9.08%
1Y
23.98%
3Y*
21.14%
5Y*
13.01%
10Y*
15.50%

GC=F

1D
1M
YTD
6M
1Y
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

VV vs. GC=F - Yearly Performance Comparison


2026 (YTD)2025202420232022
VV
Vanguard Large-Cap ETF
8.77%18.11%25.25%27.18%-13.08%
GC=F
Gold Futures
0.00%0.00%0.00%0.00%5.84%

Correlation

The correlation between VV and GC=F is -0.05, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.


Correlation
Correlation (All Time)
Calculated using the full available price history since Jan 31, 2022

-0.05

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Return for Risk

VV vs. GC=F — Risk / Return Rank

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

VV
VV Risk / Return Rank: 6767
Overall Rank
VV Sharpe Ratio Rank: 6969
Sharpe Ratio Rank
VV Sortino Ratio Rank: 6666
Sortino Ratio Rank
VV Omega Ratio Rank: 6868
Omega Ratio Rank
VV Calmar Ratio Rank: 6060
Calmar Ratio Rank
VV Martin Ratio Rank: 7272
Martin Ratio Rank

GC=F

Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.

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.

VV vs. GC=F - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Vanguard Large-Cap ETF (VV) and Gold Futures (GC=F). 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.


VVGC=FDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.35

Calmar ratioReturn relative to maximum drawdown

2.62

Martin ratioReturn relative to average drawdown

11.64

VV vs. GC=F - Sharpe Ratio Comparison


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Drawdowns

VV vs. GC=F - Drawdown Comparison


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Drawdown Indicators


VVGC=FDifference

Max Drawdown

Largest peak-to-trough decline

-54.81%

Max Drawdown (1Y)

Largest decline over 1 year

-9.21%

Max Drawdown (3Y)

Largest decline over 3 years

-18.97%

Max Drawdown (5Y)

Largest decline over 5 years

-25.66%

Max Drawdown (10Y)

Largest decline over 10 years

-34.28%

Current Drawdown

Current decline from peak

-2.44%

Average Drawdown

Average peak-to-trough decline

-6.83%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.07%

Volatility

VV vs. GC=F - Volatility Comparison


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Volatility by Period


VVGC=FDifference

Volatility (1M)

Calculated over the trailing 1-month period

4.42%

Volatility (6M)

Calculated over the trailing 6-month period

9.68%

Volatility (1Y)

Calculated over the trailing 1-year period

12.47%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

17.29%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

18.22%

Frequently Asked Questions


VV and GC=F have a correlation of -0.05, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

Portfolio Optimizer

Find the right allocation for VV and GC=F

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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