GMNY vs. SCMB
GMNY (Goldman Sachs Dynamic New York Municipal Income ETF) and SCMB (Schwab Municipal Bond ETF) are both Municipal Bonds funds. GMNY is actively managed, while SCMB is passively managed. Over the past year, GMNY returned 6.30% vs 6.59% for SCMB. A 0.72 correlation means they provide meaningful diversification when combined. GMNY charges 0.30%/yr vs 0.03%/yr for SCMB.
Performance
GMNY vs. SCMB - Performance Comparison
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Returns By Period
In the year-to-date period, GMNY achieves a 2.06% return, which is significantly higher than SCMB's 1.54% return.
GMNY
- 1D
- -0.03%
- 1M
- 1.28%
- YTD
- 2.06%
- 6M
- 2.24%
- 1Y
- 6.30%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SCMB
- 1D
- 0.08%
- 1M
- 1.63%
- YTD
- 1.54%
- 6M
- 1.78%
- 1Y
- 6.59%
- 3Y*
- 3.19%
- 5Y*
- —
- 10Y*
- —
GMNY vs. SCMB - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
GMNY Goldman Sachs Dynamic New York Municipal Income ETF | 2.06% | 3.79% | 0.82% |
SCMB Schwab Municipal Bond ETF | 1.54% | 3.78% | 0.97% |
Correlation
The correlation between GMNY and SCMB is 0.68, 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 | 0.68 |
Correlation (All Time) Calculated using the full available price history since Jul 25, 2024 | 0.72 |
The correlation between GMNY and SCMB has been stable across timeframes, ranging from 0.68 to 0.72 - a consistent structural relationship.
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Return for Risk
GMNY vs. SCMB — Risk / Return Rank
GMNY
SCMB
GMNY vs. SCMB - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Goldman Sachs Dynamic New York Municipal Income ETF (GMNY) and Schwab Municipal Bond ETF (SCMB). 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.
| GMNY | SCMB | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.04 | ||
| Sortino ratioReturn per unit of downside risk | +0.04 | ||
| Omega ratioGain probability vs. loss probability | 1.49 | 1.48 | 0.00 |
| Calmar ratioReturn relative to maximum drawdown | 2.85 | 2.27 | +0.59 |
| Martin ratioReturn relative to average drawdown | 10.80 | 7.44 | +3.35 |
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Drawdowns
GMNY vs. SCMB - Drawdown Comparison
The maximum GMNY drawdown since its inception was -4.00%, smaller than the maximum SCMB drawdown of -6.13%. Use the drawdown chart below to compare losses from any high point for GMNY and SCMB.
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Drawdown Indicators
| GMNY | SCMB | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -4.00% | -6.13% | +2.13% |
Max Drawdown (1Y)Largest decline over 1 year | -2.21% | -2.92% | +0.71% |
Max Drawdown (3Y)Largest decline over 3 years | — | -5.57% | — |
Current DrawdownCurrent decline from peak | -0.03% | -0.40% | +0.37% |
Average DrawdownAverage peak-to-trough decline | -0.90% | -1.31% | +0.41% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 0.58% | 0.89% | -0.31% |
Volatility
GMNY vs. SCMB - Volatility Comparison
The current volatility for Goldman Sachs Dynamic New York Municipal Income ETF (GMNY) is 0.60%, while Schwab Municipal Bond ETF (SCMB) has a volatility of 0.72%. This indicates that GMNY experiences smaller price fluctuations and is considered to be less risky than SCMB based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| GMNY | SCMB | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 0.60% | 0.72% | -0.12% |
Volatility (6M)Calculated over the trailing 6-month period | 2.03% | 2.16% | -0.13% |
Volatility (1Y)Calculated over the trailing 1-year period | 2.72% | 2.89% | -0.17% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 3.58% | 4.14% | -0.56% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 3.58% | 4.14% | -0.56% |
GMNY vs. SCMB - Expense Ratio Comparison
GMNY has a 0.30% expense ratio, which is higher than SCMB's 0.03% expense ratio.
Dividends
GMNY vs. SCMB - Dividend Comparison
GMNY's dividend yield for the trailing twelve months is around 3.28%, less than SCMB's 3.52% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|---|
GMNY Goldman Sachs Dynamic New York Municipal Income ETF | 3.28% | 3.33% | 1.47% | 0.00% | 0.00% |
SCMB Schwab Municipal Bond ETF | 3.52% | 3.36% | 3.34% | 3.10% | 0.59% |
Frequently Asked Questions
GMNY and SCMB have a correlation of 0.68, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SCMB has higher volatility (0.72%) compared to GMNY (0.60%). In terms of maximum drawdown, GMNY dropped -4.00% vs SCMB's -6.13%.
On 1-year performance, SCMB leads with 6.59% vs 6.30% for GMNY. On fees, SCMB is cheaper at 0.03% per year. On volatility, GMNY has been the lower-risk option at 0.60%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, SCMB has performed better with a 6.59% return vs 6.30%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SCMB is cheaper with a 0.03% expense ratio, compared with 0.30% for GMNY.
SCMB has the higher dividend yield at 3.52%, compared with 3.28% for GMNY.
They also come from different issuers: Goldman Sachs and Charles Schwab. Their fees differ too: 0.30% for GMNY and 0.03% for SCMB.
GMNY currently has the higher Sharpe Ratio (2.33 vs 2.29), 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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