GMF vs. EEM
GMF (SPDR S&P Emerging Asia Pacific ETF) and EEM (iShares MSCI Emerging Markets ETF) are both exchange-traded funds - GMF is a Asia Pacific Equities fund tracking the S&P Asia Pacific Emerging BMI Index, while EEM is a Emerging Markets Diversified fund tracking the MSCI Emerging Markets Index (Net). Both are passively managed. Over the past 10 years, GMF returned 10.11%/yr vs 9.68%/yr for EEM. Their correlation of 0.93 suggests significant overlap in exposure. GMF charges 0.49%/yr vs 0.72%/yr for EEM.
Performance
GMF vs. EEM - Performance Comparison
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Returns By Period
In the year-to-date period, GMF achieves a 13.96% return, which is significantly lower than EEM's 26.30% return. Both investments have delivered pretty close results over the past 10 years, with GMF having a 10.11% annualized return and EEM not far behind at 9.68%.
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%
EEM
- 1D
- -1.17%
- 1M
- 5.66%
- YTD
- 26.30%
- 6M
- 29.01%
- 1Y
- 52.09%
- 3Y*
- 23.47%
- 5Y*
- 6.76%
- 10Y*
- 9.68%
GMF vs. EEM - 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% |
EEM iShares MSCI Emerging Markets ETF | 26.30% | 33.98% | 6.49% | 8.95% | -20.56% | -3.63% | 17.02% | 18.22% | -15.31% | 37.26% |
Correlation
The correlation between GMF and EEM is 0.94, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.94 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.95 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.96 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.96 |
Correlation (All Time) Calculated using the full available price history since Mar 26, 2007 | 0.93 |
The correlation between GMF and EEM has been stable across timeframes, ranging from 0.93 to 0.96 - a consistent structural relationship.
GMF vs. EEM - Sectors Allocation Comparison
Sectors
GMF
EEM
Technology
Financial Services
Consumer Cyclical
Communication Services
Industrials
Basic Materials
Healthcare
Consumer Defensive
Energy
Utilities
Real Estate
Technology
GMF
EEM
Financial Services
GMF
EEM
Consumer Cyclical
GMF
EEM
Communication Services
GMF
EEM
Industrials
GMF
EEM
Basic Materials
GMF
EEM
Healthcare
GMF
EEM
Consumer Defensive
GMF
EEM
Energy
GMF
EEM
Utilities
GMF
EEM
Real Estate
GMF
EEM
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Return for Risk
GMF vs. EEM — Risk / Return Rank
GMF
EEM
GMF vs. EEM - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for SPDR S&P Emerging Asia Pacific ETF (GMF) and iShares MSCI Emerging Markets ETF (EEM). 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 | EEM | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.70 | ||
| Sortino ratioReturn per unit of downside risk | -0.70 | ||
| Omega ratioGain probability vs. loss probability | 1.35 | 1.48 | -0.13 |
| Calmar ratioReturn relative to maximum drawdown | 2.50 | 3.87 | -1.37 |
| Martin ratioReturn relative to average drawdown | 9.27 | 14.91 | -5.63 |
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 | EEM | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 1.92 | 2.62 | -0.70 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.30 | 0.36 | -0.06 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.53 | 0.47 | +0.05 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.30 | 0.38 | -0.08 |
Drawdowns
GMF vs. EEM - Drawdown Comparison
The maximum GMF drawdown since its inception was -67.18%, roughly equal to the maximum EEM drawdown of -66.43%. Use the drawdown chart below to compare losses from any high point for GMF and EEM.
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Drawdown Indicators
| GMF | EEM | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -67.18% | -66.43% | -0.75% |
Max Drawdown (1Y)Largest decline over 1 year | -12.62% | -13.52% | +0.90% |
Max Drawdown (3Y)Largest decline over 3 years | -21.43% | -17.29% | -4.14% |
Max Drawdown (5Y)Largest decline over 5 years | -35.76% | -37.71% | +1.95% |
Max Drawdown (10Y)Largest decline over 10 years | -40.18% | -39.82% | -0.36% |
Current DrawdownCurrent decline from peak | -1.01% | -2.40% | +1.39% |
Average DrawdownAverage peak-to-trough decline | -16.59% | -16.02% | -0.57% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.40% | 3.50% | -0.10% |
Volatility
GMF vs. EEM - Volatility Comparison
The current volatility for SPDR S&P Emerging Asia Pacific ETF (GMF) is 6.11%, while iShares MSCI Emerging Markets ETF (EEM) has a volatility of 8.49%. This indicates that GMF experiences smaller price fluctuations and is considered to be less risky than EEM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| GMF | EEM | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 6.11% | 8.49% | -2.38% |
Volatility (6M)Calculated over the trailing 6-month period | 13.65% | 17.47% | -3.82% |
Volatility (1Y)Calculated over the trailing 1-year period | 16.50% | 20.02% | -3.52% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 18.52% | 18.92% | -0.40% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 19.19% | 20.50% | -1.31% |
GMF vs. EEM - Expense Ratio Comparison
GMF has a 0.49% expense ratio, which is lower than EEM's 0.72% expense ratio.
Dividends
GMF vs. EEM - Dividend Comparison
GMF's dividend yield for the trailing twelve months is around 1.31%, less than EEM's 1.76% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
EEM iShares MSCI Emerging Markets ETF | 1.76% | 2.22% | 2.43% | 2.63% | 2.50% | 1.99% | 1.45% | 2.76% | 2.24% | 1.89% | 1.89% | 2.49% |
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% |
Frequently Asked Questions
With a correlation of 0.94, GMF and EEM move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.
EEM has higher volatility (8.49%) compared to GMF (6.11%). In terms of maximum drawdown, GMF dropped -67.18% vs EEM's -66.43%.
On 10-year performance, GMF leads with 10.11% vs 9.68% for EEM. On fees, GMF is cheaper at 0.49% per year. On volatility, GMF has been the lower-risk option at 6.11%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, GMF has performed better with a 10.11% return vs 9.68%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
GMF is cheaper with a 0.49% expense ratio, compared with 0.72% for EEM.
EEM has the higher dividend yield at 1.76%, compared with 1.31% for GMF.
GMF is categorized as Asia Pacific Equities, while EEM is Emerging Markets Diversified. GMF tracks S&P Asia Pacific Emerging BMI Index, while EEM tracks MSCI Emerging Markets Index (Net). They also come from different issuers: State Street and iShares. Their fees differ too: 0.49% for GMF and 0.72% for EEM.
EEM currently has the higher Sharpe Ratio (2.62 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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