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FMET vs. FUTY
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

FMET vs. FUTY - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Fidelity Metaverse ETF (FMET) and Fidelity MSCI Utilities Index ETF (FUTY). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, FMET achieves a 1.20% return, which is significantly lower than FUTY's 6.83% return.


FMET

1D
-2.14%
1M
-5.16%
YTD
1.20%
6M
0.69%
1Y
12.21%
3Y*
13.64%
5Y*
10Y*

FUTY

1D
0.78%
1M
-0.04%
YTD
6.83%
6M
6.88%
1Y
14.04%
3Y*
14.88%
5Y*
10.41%
10Y*
9.27%
*Multi-year figures are annualized to reflect compound growth (CAGR)

FMET vs. FUTY - Yearly Performance Comparison


2026 (YTD)2025202420232022
FMET
Fidelity Metaverse ETF
1.20%21.93%6.76%39.18%-18.57%
FUTY
Fidelity MSCI Utilities Index ETF
6.83%16.40%23.20%-7.46%-5.65%

Correlation

The correlation between FMET and FUTY is 0.10, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.10

Correlation (3Y)
Calculated over the trailing 3-year period

0.16

Correlation (All Time)
Calculated using the full available price history since Apr 21, 2022

0.22

The correlation between FMET and FUTY shifts across timeframes, from 0.10 (1 year) to 0.22 (all time), reflecting how their relationship changes across market environments.

FMET vs. FUTY - Sectors Allocation Comparison


Sectors
FMET
FUTY

Technology

69.6%

-

Communication Services

22.4%

-

Real Estate

7.8%

-

Basic Materials

-

-

Consumer Cyclical

-

-

Consumer Defensive

-

-

Energy

-

0.5%

Financial Services

-

-

Healthcare

-

-

Industrials

-

0.2%

Utilities

-

99.3%

Technology

FMET
69.6%
FUTY

-

Communication Services

FMET
22.4%
FUTY

-

Real Estate

FMET
7.8%
FUTY

-

Basic Materials

FMET

-

FUTY

-

Consumer Cyclical

FMET

-

FUTY

-

Consumer Defensive

FMET

-

FUTY

-

Energy

FMET

-

FUTY
0.5%

Financial Services

FMET

-

FUTY

-

Healthcare

FMET

-

FUTY

-

Industrials

FMET

-

FUTY
0.2%

Utilities

FMET

-

FUTY
99.3%

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Return for Risk

FMET vs. FUTY — Risk / Return Rank

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

FMET
FMET Risk / Return Rank: 1717
Overall Rank
FMET Sharpe Ratio Rank: 1919
Sharpe Ratio Rank
FMET Sortino Ratio Rank: 1818
Sortino Ratio Rank
FMET Omega Ratio Rank: 1818
Omega Ratio Rank
FMET Calmar Ratio Rank: 1515
Calmar Ratio Rank
FMET Martin Ratio Rank: 1515
Martin Ratio Rank

FUTY
FUTY Risk / Return Rank: 2828
Overall Rank
FUTY Sharpe Ratio Rank: 2828
Sharpe Ratio Rank
FUTY Sortino Ratio Rank: 2626
Sortino Ratio Rank
FUTY Omega Ratio Rank: 2626
Omega Ratio Rank
FUTY Calmar Ratio Rank: 3333
Calmar Ratio Rank
FUTY Martin Ratio Rank: 2626
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.

FMET vs. FUTY - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Fidelity Metaverse ETF (FMET) and Fidelity MSCI Utilities Index ETF (FUTY). 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.


FMETFUTYDifference
Sharpe ratioReturn per unit of total volatility

-0.39

Sortino ratioReturn per unit of downside risk

-0.46

Omega ratioGain probability vs. loss probability

1.12

1.17

-0.06

Calmar ratioReturn relative to maximum drawdown

0.53

1.58

-1.05

Martin ratioReturn relative to average drawdown

1.39

3.37

-1.97

FMET vs. FUTY - Sharpe Ratio Comparison

The current FMET Sharpe Ratio is 0.59, which is lower than the FUTY Sharpe Ratio of 0.98. The chart below compares the historical Sharpe Ratios of FMET and FUTY, 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

FMET vs. FUTY - Drawdown Comparison

The maximum FMET drawdown since its inception was -29.94%, smaller than the maximum FUTY drawdown of -36.44%. Use the drawdown chart below to compare losses from any high point for FMET and FUTY.


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Drawdown Indicators


FMETFUTYDifference

Max Drawdown

Largest peak-to-trough decline

-29.94%

-36.44%

+6.50%

Max Drawdown (1Y)

Largest decline over 1 year

-23.00%

-8.93%

-14.07%

Max Drawdown (3Y)

Largest decline over 3 years

-25.02%

-17.35%

-7.67%

Max Drawdown (5Y)

Largest decline over 5 years

-25.11%

Max Drawdown (10Y)

Largest decline over 10 years

-36.44%

Current Drawdown

Current decline from peak

-9.21%

-3.99%

-5.22%

Average Drawdown

Average peak-to-trough decline

-7.71%

-6.03%

-1.68%

Ulcer Index

Depth and duration of drawdowns from previous peaks

8.79%

4.18%

+4.61%

Volatility

FMET vs. FUTY - Volatility Comparison

Fidelity Metaverse ETF (FMET) has a higher volatility of 9.84% compared to Fidelity MSCI Utilities Index ETF (FUTY) at 5.22%. This indicates that FMET's price experiences larger fluctuations and is considered to be riskier than FUTY based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


FMETFUTYDifference

Volatility (1M)

Calculated over the trailing 1-month period

9.84%

5.22%

+4.62%

Volatility (6M)

Calculated over the trailing 6-month period

17.02%

11.57%

+5.45%

Volatility (1Y)

Calculated over the trailing 1-year period

20.96%

14.46%

+6.50%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.46%

17.06%

+7.40%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

24.46%

19.08%

+5.38%

FMET vs. FUTY - Expense Ratio Comparison

FMET has a 0.39% expense ratio, which is higher than FUTY's 0.08% expense ratio.


Dividends

FMET vs. FUTY - Dividend Comparison

FMET's dividend yield for the trailing twelve months is around 0.52%, less than FUTY's 2.60% yield.


PositionTTM20252024202320222021202020192018201720162015
FMET
Fidelity Metaverse ETF
0.52%0.81%0.44%0.40%0.18%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
FUTY
Fidelity MSCI Utilities Index ETF
2.60%2.67%2.96%3.31%2.72%2.70%3.07%2.82%3.11%3.03%3.35%4.33%

Frequently Asked Questions


FMET and FUTY have a correlation of 0.10, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

FMET has higher volatility (9.84%) compared to FUTY (5.22%). In terms of maximum drawdown, FMET dropped -29.94% vs FUTY's -36.44%.

On 3-year performance, FUTY leads with 14.88% vs 13.64% for FMET. On fees, FUTY is cheaper at 0.08% per year. On volatility, FUTY has been the lower-risk option at 5.22%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, FUTY has performed better with a 14.88% return vs 13.64%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

FUTY is cheaper with a 0.08% expense ratio, compared with 0.39% for FMET.

FUTY has the higher dividend yield at 2.60%, compared with 0.52% for FMET.

FMET is categorized as Communications Equities, while FUTY is Utilities Equities. Their fees differ too: 0.39% for FMET and 0.08% for FUTY.

FUTY currently has the higher Sharpe Ratio (0.98 vs 0.59), 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 FMET and FUTY

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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