FENY vs. GSIB
FENY (Fidelity MSCI Energy Index ETF) and GSIB (Themes Global Systemically Important Banks ETF) are both exchange-traded funds - FENY is a Energy Equities fund tracking the MSCI USA IMI Energy 25/50 Index, while GSIB is a Financials Equities fund actively managed by Themes. FENY is passively managed, while GSIB is actively managed. Over the past year, FENY returned 44.41% vs 41.62% for GSIB. At a 0.21 correlation, their price movements are largely independent. FENY charges 0.08%/yr vs 0.35%/yr for GSIB.
Performance
FENY vs. GSIB - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, FENY achieves a 31.30% return, which is significantly higher than GSIB's 10.39% return.
FENY
- 1D
- 1.22%
- 1M
- 3.82%
- YTD
- 31.30%
- 6M
- 29.90%
- 1Y
- 44.41%
- 3Y*
- 16.98%
- 5Y*
- 20.27%
- 10Y*
- 9.32%
GSIB
- 1D
- 0.33%
- 1M
- 4.05%
- YTD
- 10.39%
- 6M
- 15.52%
- 1Y
- 41.62%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
FENY vs. GSIB - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | |
|---|---|---|---|---|
FENY Fidelity MSCI Energy Index ETF | 31.30% | 7.27% | 6.62% | 0.48% |
GSIB Themes Global Systemically Important Banks ETF | 10.39% | 61.67% | 32.86% | 2.35% |
Correlation
The correlation between FENY and GSIB is -0.02, 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 (1Y) Calculated over the trailing 1-year period | -0.02 |
Correlation (All Time) Calculated using the full available price history since Dec 18, 2023 | 0.21 |
The correlation between FENY and GSIB shifts across timeframes, from -0.02 (1 year) to 0.21 (all time), reflecting how their relationship changes across market environments.
FENY vs. GSIB - Sectors Allocation Comparison
Sectors
FENY
GSIB
Energy
-
Basic Materials
-
Industrials
-
Communication Services
-
-
Consumer Cyclical
-
-
Consumer Defensive
-
-
Financial Services
-
Healthcare
-
-
Real Estate
-
-
Technology
-
-
Utilities
-
-
Energy
FENY
GSIB
-
Basic Materials
FENY
GSIB
-
Industrials
FENY
GSIB
-
Communication Services
FENY
-
GSIB
-
Consumer Cyclical
FENY
-
GSIB
-
Consumer Defensive
FENY
-
GSIB
-
Financial Services
FENY
-
GSIB
Healthcare
FENY
-
GSIB
-
Real Estate
FENY
-
GSIB
-
Technology
FENY
-
GSIB
-
Utilities
FENY
-
GSIB
-
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
FENY vs. GSIB — Risk / Return Rank
FENY
GSIB
FENY vs. GSIB - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Fidelity MSCI Energy Index ETF (FENY) and Themes Global Systemically Important Banks ETF (GSIB). 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.
| FENY | GSIB | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.22 | ||
| Sortino ratioReturn per unit of downside risk | -0.53 | ||
| Omega ratioGain probability vs. loss probability | 1.35 | 1.40 | -0.05 |
| Calmar ratioReturn relative to maximum drawdown | 3.79 | 3.01 | +0.78 |
| Martin ratioReturn relative to average drawdown | 10.95 | 10.59 | +0.36 |
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
| FENY | GSIB | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.19 | 2.41 | -0.22 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.77 | — | — |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.31 | — | — |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.20 | 2.36 | -2.16 |
Drawdowns
FENY vs. GSIB - Drawdown Comparison
The maximum FENY drawdown since its inception was -74.35%, which is greater than GSIB's maximum drawdown of -17.71%. Use the drawdown chart below to compare losses from any high point for FENY and GSIB.
Loading charts...
Drawdown Indicators
| FENY | GSIB | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -74.35% | -17.71% | -56.64% |
Max Drawdown (1Y)Largest decline over 1 year | -11.78% | -13.90% | +2.12% |
Max Drawdown (3Y)Largest decline over 3 years | -21.47% | — | — |
Max Drawdown (5Y)Largest decline over 5 years | -26.64% | — | — |
Max Drawdown (10Y)Largest decline over 10 years | -69.07% | — | — |
Current DrawdownCurrent decline from peak | -7.04% | -1.13% | -5.91% |
Average DrawdownAverage peak-to-trough decline | -23.11% | -2.06% | -21.05% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.07% | 3.94% | +0.13% |
Volatility
FENY vs. GSIB - Volatility Comparison
Fidelity MSCI Energy Index ETF (FENY) has a higher volatility of 6.96% compared to Themes Global Systemically Important Banks ETF (GSIB) at 4.58%. This indicates that FENY's price experiences larger fluctuations and is considered to be riskier than GSIB based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| FENY | GSIB | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 6.96% | 4.58% | +2.38% |
Volatility (6M)Calculated over the trailing 6-month period | 16.35% | 14.13% | +2.22% |
Volatility (1Y)Calculated over the trailing 1-year period | 20.38% | 17.39% | +2.99% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 26.48% | 18.46% | +8.02% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 29.80% | 18.46% | +11.34% |
FENY vs. GSIB - Expense Ratio Comparison
FENY has a 0.08% expense ratio, which is lower than GSIB's 0.35% expense ratio.
Dividends
FENY vs. GSIB - Dividend Comparison
FENY's dividend yield for the trailing twelve months is around 2.43%, more than GSIB's 1.73% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
FENY Fidelity MSCI Energy Index ETF | 2.43% | 3.18% | 3.05% | 3.33% | 3.33% | 3.69% | 4.60% | 6.43% | 3.21% | 2.94% | 2.29% | 3.05% |
GSIB Themes Global Systemically Important Banks ETF | 1.73% | 1.91% | 1.67% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
FENY and GSIB have a correlation of -0.02, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
FENY has higher volatility (6.96%) compared to GSIB (4.58%). In terms of maximum drawdown, FENY dropped -74.35% vs GSIB's -17.71%.
On 1-year performance, FENY leads with 44.41% vs 41.62% for GSIB. On fees, FENY is cheaper at 0.08% per year. On volatility, GSIB has been the lower-risk option at 4.58%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, FENY has performed better with a 44.41% return vs 41.62%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
FENY is cheaper with a 0.08% expense ratio, compared with 0.35% for GSIB.
FENY has the higher dividend yield at 2.43%, compared with 1.73% for GSIB.
FENY is categorized as Energy Equities, while GSIB is Financials Equities. They also come from different issuers: Fidelity and Themes. Their fees differ too: 0.08% for FENY and 0.35% for GSIB.
GSIB currently has the higher Sharpe Ratio (2.41 vs 2.19), 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 FENY and GSIB
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