FMET vs. FSELX
FMET (Fidelity Metaverse ETF) and FSELX (Fidelity Select Semiconductors Portfolio) are both funds - FMET is a Communications Equities fund actively managed by Fidelity, while FSELX is a Semiconductors fund managed by Fidelity. Over the past 3 years, FMET returned 14.46%/yr vs 66.55%/yr for FSELX. A 0.80 correlation means they provide meaningful diversification when combined. FMET charges 0.39%/yr vs 0.68%/yr for FSELX.
Performance
FMET vs. FSELX - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, FMET achieves a 3.42% return, which is significantly lower than FSELX's 87.43% return.
FMET
- 1D
- -1.17%
- 1M
- -3.09%
- YTD
- 3.42%
- 6M
- 2.69%
- 1Y
- 15.70%
- 3Y*
- 14.46%
- 5Y*
- —
- 10Y*
- —
FSELX
- 1D
- 5.45%
- 1M
- 12.79%
- YTD
- 87.43%
- 6M
- 86.44%
- 1Y
- 157.32%
- 3Y*
- 66.55%
- 5Y*
- 46.62%
- 10Y*
- 39.47%
FMET vs. FSELX - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | |
|---|---|---|---|---|---|
FMET Fidelity Metaverse ETF | 3.42% | 21.93% | 6.76% | 39.18% | -18.57% |
FSELX Fidelity Select Semiconductors Portfolio | 87.43% | 52.17% | 49.68% | 78.49% | -16.63% |
Correlation
The correlation between FMET and FSELX 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 | 0.79 |
Correlation (All Time) Calculated using the full available price history since Apr 21, 2022 | 0.80 |
The correlation between FMET and FSELX has been stable across timeframes, ranging from 0.75 to 0.80 - a consistent structural relationship.
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
FMET vs. FSELX — Risk / Return Rank
FMET
FSELX
FMET vs. FSELX - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Fidelity Metaverse ETF (FMET) and Fidelity Select Semiconductors Portfolio (FSELX). 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.
| FMET | FSELX | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -3.60 | ||
| Sortino ratioReturn per unit of downside risk | -3.21 | ||
| Omega ratioGain probability vs. loss probability | 1.15 | 1.60 | -0.46 |
| Calmar ratioReturn relative to maximum drawdown | 0.69 | 10.88 | -10.20 |
| Martin ratioReturn relative to average drawdown | 1.79 | 39.06 | -37.26 |
Loading charts...
Drawdowns
FMET vs. FSELX - Drawdown Comparison
The maximum FMET drawdown since its inception was -29.94%, smaller than the maximum FSELX drawdown of -82.54%. Use the drawdown chart below to compare losses from any high point for FMET and FSELX.
Loading charts...
Drawdown Indicators
| FMET | FSELX | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -29.94% | -82.54% | +52.60% |
Max Drawdown (1Y)Largest decline over 1 year | -23.00% | -14.38% | -8.62% |
Max Drawdown (3Y)Largest decline over 3 years | -25.02% | -36.31% | +11.29% |
Max Drawdown (5Y)Largest decline over 5 years | — | -46.37% | — |
Max Drawdown (10Y)Largest decline over 10 years | — | -46.37% | — |
Current DrawdownCurrent decline from peak | -7.22% | 0.00% | -7.22% |
Average DrawdownAverage peak-to-trough decline | -7.70% | -28.67% | +20.97% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 8.77% | 4.00% | +4.77% |
Volatility
FMET vs. FSELX - Volatility Comparison
The current volatility for Fidelity Metaverse ETF (FMET) is 9.62%, while Fidelity Select Semiconductors Portfolio (FSELX) has a volatility of 18.25%. This indicates that FMET experiences smaller price fluctuations and is considered to be less risky than FSELX based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| FMET | FSELX | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 9.62% | 18.25% | -8.63% |
Volatility (6M)Calculated over the trailing 6-month period | 16.91% | 29.19% | -12.28% |
Volatility (1Y)Calculated over the trailing 1-year period | 20.89% | 35.91% | -15.02% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 24.45% | 39.55% | -15.10% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 24.45% | 35.40% | -10.95% |
FMET vs. FSELX - Expense Ratio Comparison
FMET has a 0.39% expense ratio, which is lower than FSELX's 0.68% expense ratio.
Dividends
FMET vs. FSELX - Dividend Comparison
FMET's dividend yield for the trailing twelve months is around 0.51%, less than FSELX's 8.74% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
FMET Fidelity Metaverse ETF | 0.51% | 0.81% | 0.44% | 0.40% | 0.18% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
FSELX Fidelity Select Semiconductors Portfolio | 8.74% | 11.11% | 7.97% | 7.20% | 6.69% | 6.99% | 8.13% | 3.36% | 26.80% | 14.44% | 3.82% | 15.22% |
Frequently Asked Questions
FMET and FSELX 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.
FSELX has higher volatility (18.25%) compared to FMET (9.62%). In terms of maximum drawdown, FMET dropped -29.94% vs FSELX's -82.54%.
FSELX currently has the higher Sharpe Ratio (4.36 vs 0.76), 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 FMET and FSELX
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