GMF vs. SPYM
GMF (SPDR S&P Emerging Asia Pacific ETF) and SPYM (State Street SPDR Portfolio S&P 500 ETF) are both exchange-traded funds - GMF is a Asia Pacific Equities fund tracking the S&P Asia Pacific Emerging BMI Index, while SPYM is a S&P 500 fund tracking the S&P 500 Index. Both are passively managed. Over the past 10 years, GMF returned 10.11%/yr vs 15.57%/yr for SPYM. A 0.64 correlation means they provide meaningful diversification when combined. GMF charges 0.49%/yr vs 0.02%/yr for SPYM.
Performance
GMF vs. SPYM - Performance Comparison
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Returns By Period
In the year-to-date period, GMF achieves a 13.96% return, which is significantly higher than SPYM's 11.36% return. Over the past 10 years, GMF has underperformed SPYM with an annualized return of 10.11%, while SPYM has yielded a comparatively higher 15.57% annualized return.
GMF
- 1D
- 0.29%
- 1M
- 4.32%
- YTD
- 13.96%
- 6M
- 14.78%
- 1Y
- 31.46%
- 3Y*
- 19.48%
- 5Y*
- 5.49%
- 10Y*
- 10.11%
SPYM
- 1D
- 0.34%
- 1M
- 4.60%
- YTD
- 11.36%
- 6M
- 11.25%
- 1Y
- 28.60%
- 3Y*
- 22.67%
- 5Y*
- 13.99%
- 10Y*
- 15.57%
GMF vs. SPYM - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
GMF SPDR S&P Emerging Asia Pacific ETF | 13.96% | 21.99% | 16.55% | 8.20% | -18.99% | -1.93% | 24.96% | 19.92% | -14.25% | 41.71% |
SPYM State Street SPDR Portfolio S&P 500 ETF | 11.36% | 17.79% | 25.00% | 26.24% | -18.09% | 28.78% | 18.49% | 31.99% | -4.78% | 21.30% |
Correlation
The correlation between GMF and SPYM is 0.73, 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 | 0.73 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.63 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.62 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.65 |
Correlation (All Time) Calculated using the full available price history since Mar 26, 2007 | 0.64 |
The correlation between GMF and SPYM shifts across timeframes, from 0.62 (5 years) to 0.73 (1 year), reflecting how their relationship changes across market environments.
GMF vs. SPYM - Sectors Allocation Comparison
Sectors
GMF
SPYM
Technology
Financial Services
Consumer Cyclical
Communication Services
Industrials
Basic Materials
Healthcare
Consumer Defensive
Energy
Utilities
Real Estate
Technology
GMF
SPYM
Financial Services
GMF
SPYM
Consumer Cyclical
GMF
SPYM
Communication Services
GMF
SPYM
Industrials
GMF
SPYM
Basic Materials
GMF
SPYM
Healthcare
GMF
SPYM
Consumer Defensive
GMF
SPYM
Energy
GMF
SPYM
Utilities
GMF
SPYM
Real Estate
GMF
SPYM
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Return for Risk
GMF vs. SPYM — Risk / Return Rank
GMF
SPYM
GMF vs. SPYM - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for SPDR S&P Emerging Asia Pacific ETF (GMF) and State Street SPDR Portfolio S&P 500 ETF (SPYM). 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.
| GMF | SPYM | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.52 | ||
| Sortino ratioReturn per unit of downside risk | -0.60 | ||
| Omega ratioGain probability vs. loss probability | 1.35 | 1.44 | -0.10 |
| Calmar ratioReturn relative to maximum drawdown | 2.50 | 3.23 | -0.72 |
| Martin ratioReturn relative to average drawdown | 9.27 | 15.02 | -5.75 |
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
| GMF | SPYM | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 1.92 | 2.44 | -0.52 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.30 | 0.84 | -0.54 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.53 | 0.87 | -0.34 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.30 | 0.62 | -0.32 |
Drawdowns
GMF vs. SPYM - Drawdown Comparison
The maximum GMF drawdown since its inception was -67.18%, which is greater than SPYM's maximum drawdown of -54.46%. Use the drawdown chart below to compare losses from any high point for GMF and SPYM.
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Drawdown Indicators
| GMF | SPYM | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -67.18% | -54.46% | -12.72% |
Max Drawdown (1Y)Largest decline over 1 year | -12.62% | -8.90% | -3.72% |
Max Drawdown (3Y)Largest decline over 3 years | -21.43% | -18.72% | -2.71% |
Max Drawdown (5Y)Largest decline over 5 years | -35.76% | -24.48% | -11.28% |
Max Drawdown (10Y)Largest decline over 10 years | -40.18% | -33.87% | -6.31% |
Current DrawdownCurrent decline from peak | -1.01% | -0.32% | -0.69% |
Average DrawdownAverage peak-to-trough decline | -16.59% | -7.15% | -9.44% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.40% | 1.91% | +1.49% |
Volatility
GMF vs. SPYM - Volatility Comparison
SPDR S&P Emerging Asia Pacific ETF (GMF) has a higher volatility of 6.11% compared to State Street SPDR Portfolio S&P 500 ETF (SPYM) at 2.78%. This indicates that GMF's price experiences larger fluctuations and is considered to be riskier than SPYM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| GMF | SPYM | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 6.11% | 2.78% | +3.33% |
Volatility (6M)Calculated over the trailing 6-month period | 13.65% | 8.91% | +4.74% |
Volatility (1Y)Calculated over the trailing 1-year period | 16.50% | 11.79% | +4.71% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 18.52% | 16.80% | +1.72% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 19.19% | 18.00% | +1.19% |
GMF vs. SPYM - Expense Ratio Comparison
GMF has a 0.49% expense ratio, which is higher than SPYM's 0.02% expense ratio.
Dividends
GMF vs. SPYM - Dividend Comparison
GMF's dividend yield for the trailing twelve months is around 1.31%, more than SPYM's 0.99% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
GMF SPDR S&P Emerging Asia Pacific ETF | 1.31% | 1.49% | 1.92% | 2.75% | 2.54% | 2.71% | 1.32% | 1.75% | 2.26% | 1.70% | 2.49% | 3.76% |
SPYM State Street SPDR Portfolio S&P 500 ETF | 0.99% | 1.13% | 1.28% | 1.44% | 1.69% | 1.25% | 1.54% | 1.79% | 2.23% | 1.75% | 1.97% | 1.98% |
Frequently Asked Questions
GMF and SPYM have a correlation of 0.73, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
GMF has higher volatility (6.11%) compared to SPYM (2.78%). In terms of maximum drawdown, GMF dropped -67.18% vs SPYM's -54.46%.
On 10-year performance, SPYM leads with 15.57% vs 10.11% for GMF. On fees, SPYM is cheaper at 0.02% per year. On volatility, SPYM has been the lower-risk option at 2.78%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, SPYM has performed better with a 15.57% return vs 10.11%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SPYM is cheaper with a 0.02% expense ratio, compared with 0.49% for GMF.
GMF has the higher dividend yield at 1.31%, compared with 0.99% for SPYM.
GMF is categorized as Asia Pacific Equities, while SPYM is S&P 500. GMF tracks S&P Asia Pacific Emerging BMI Index, while SPYM tracks S&P 500 Index. Their fees differ too: 0.49% for GMF and 0.02% for SPYM.
SPYM currently has the higher Sharpe Ratio (2.44 vs 1.92), 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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