FMUN vs. GUMI
FMUN (Fidelity Systematic Municipal Bond Index ETF) and GUMI (Goldman Sachs Ultra Short Municipal Income ETF) are both Municipal Bonds funds. Both are actively managed. Over the past year, FMUN returned 7.24% vs 3.17% for GUMI. At a 0.22 correlation, their price movements are largely independent. FMUN charges 0.05%/yr vs 0.16%/yr for GUMI.
Performance
FMUN vs. GUMI - Performance Comparison
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Returns By Period
In the year-to-date period, FMUN achieves a 1.63% return, which is significantly higher than GUMI's 1.12% return.
FMUN
- 1D
- -0.06%
- 1M
- 0.90%
- YTD
- 1.63%
- 6M
- 2.20%
- 1Y
- 7.24%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
GUMI
- 1D
- 0.06%
- 1M
- 0.25%
- YTD
- 1.12%
- 6M
- 1.35%
- 1Y
- 3.17%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
FMUN vs. GUMI - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
FMUN Fidelity Systematic Municipal Bond Index ETF | 1.63% | 4.25% |
GUMI Goldman Sachs Ultra Short Municipal Income ETF | 1.12% | 2.37% |
Correlation
The correlation between FMUN and GUMI is 0.21, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.21 |
Correlation (All Time) Calculated using the full available price history since Apr 8, 2025 | 0.22 |
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Return for Risk
FMUN vs. GUMI — Risk / Return Rank
FMUN
GUMI
FMUN vs. GUMI - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Fidelity Systematic Municipal Bond Index ETF (FMUN) and Goldman Sachs Ultra Short Municipal Income ETF (GUMI). 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.
| FMUN | GUMI | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.57 | ||
| Sortino ratioReturn per unit of downside risk | -1.31 | ||
| Omega ratioGain probability vs. loss probability | 1.50 | 1.64 | -0.13 |
| Calmar ratioReturn relative to maximum drawdown | 2.27 | 8.90 | -6.64 |
| Martin ratioReturn relative to average drawdown | 7.49 | 37.70 | -30.21 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| FMUN | GUMI | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.34 | 2.91 | -0.57 |
Sharpe Ratio (All Time)Calculated using the full available price history | 1.27 | 3.32 | -2.05 |
Drawdowns
FMUN vs. GUMI - Drawdown Comparison
The maximum FMUN drawdown since its inception was -3.21%, which is greater than GUMI's maximum drawdown of -0.48%. Use the drawdown chart below to compare losses from any high point for FMUN and GUMI.
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Drawdown Indicators
| FMUN | GUMI | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -3.21% | -0.48% | -2.73% |
Max Drawdown (1Y)Largest decline over 1 year | -3.21% | -0.36% | -2.85% |
Current DrawdownCurrent decline from peak | -0.72% | 0.00% | -0.72% |
Average DrawdownAverage peak-to-trough decline | -0.82% | -0.05% | -0.77% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 0.97% | 0.08% | +0.89% |
Volatility
FMUN vs. GUMI - Volatility Comparison
Fidelity Systematic Municipal Bond Index ETF (FMUN) has a higher volatility of 1.27% compared to Goldman Sachs Ultra Short Municipal Income ETF (GUMI) at 0.25%. This indicates that FMUN's price experiences larger fluctuations and is considered to be riskier than GUMI based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| FMUN | GUMI | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 1.27% | 0.25% | +1.02% |
Volatility (6M)Calculated over the trailing 6-month period | 2.27% | 0.55% | +1.72% |
Volatility (1Y)Calculated over the trailing 1-year period | 3.12% | 1.10% | +2.02% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 4.06% | 0.99% | +3.07% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 4.06% | 0.99% | +3.07% |
FMUN vs. GUMI - Expense Ratio Comparison
FMUN has a 0.05% expense ratio, which is lower than GUMI's 0.16% 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
FMUN vs. GUMI - Dividend Comparison
FMUN's dividend yield for the trailing twelve months is around 3.29%, more than GUMI's 2.77% yield.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
FMUN Fidelity Systematic Municipal Bond Index ETF | 3.29% | 2.41% | 0.00% |
GUMI Goldman Sachs Ultra Short Municipal Income ETF | 2.77% | 2.95% | 1.37% |
Frequently Asked Questions
FMUN and GUMI have a correlation of 0.21, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
FMUN has higher volatility (1.27%) compared to GUMI (0.25%). In terms of maximum drawdown, FMUN dropped -3.21% vs GUMI's -0.48%.
On 1-year performance, FMUN leads with 7.24% vs 3.17% for GUMI. On fees, FMUN is cheaper at 0.05% per year. On volatility, GUMI has been the lower-risk option at 0.25%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, FMUN has performed better with a 7.24% return vs 3.17%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
FMUN is cheaper with a 0.05% expense ratio, compared with 0.16% for GUMI.
FMUN has the higher dividend yield at 3.29%, compared with 2.77% for GUMI.
They also come from different issuers: Fidelity and Goldman Sachs. Their fees differ too: 0.05% for FMUN and 0.16% for GUMI.
GUMI currently has the higher Sharpe Ratio (2.91 vs 2.34), 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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