EEMA vs. GMF
EEMA (iShares MSCI Emerging Markets Asia ETF) and GMF (SPDR S&P Emerging Asia Pacific ETF) are both Asia Pacific Equities funds - EEMA tracks the MSCI Emerging Markets Asia Index while GMF tracks the S&P Asia Pacific Emerging BMI Index. Both are passively managed. Over the past 10 years, EEMA returned 10.93%/yr vs 10.32%/yr for GMF. Their correlation of 0.92 suggests significant overlap in exposure. EEMA charges 0.50%/yr vs 0.49%/yr for GMF.
Performance
EEMA vs. GMF - Performance Comparison
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Returns By Period
In the year-to-date period, EEMA achieves a 29.29% return, which is significantly higher than GMF's 15.13% return. Over the past 10 years, EEMA has outperformed GMF with an annualized return of 10.93%, while GMF has yielded a comparatively lower 10.32% annualized return.
EEMA
- 1D
- 0.93%
- 1M
- 10.46%
- YTD
- 29.29%
- 6M
- 32.57%
- 1Y
- 59.07%
- 3Y*
- 24.56%
- 5Y*
- 7.50%
- 10Y*
- 10.93%
GMF
- 1D
- 1.44%
- 1M
- 6.19%
- YTD
- 15.13%
- 6M
- 15.52%
- 1Y
- 34.52%
- 3Y*
- 19.76%
- 5Y*
- 5.87%
- 10Y*
- 10.32%
EEMA vs. GMF - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
EEMA iShares MSCI Emerging Markets Asia ETF | 29.29% | 33.27% | 10.23% | 6.57% | -21.49% | -4.22% | 25.17% | 18.60% | -15.76% | 43.41% |
GMF SPDR S&P Emerging Asia Pacific ETF | 15.13% | 21.99% | 16.55% | 8.20% | -18.99% | -1.93% | 24.96% | 19.92% | -14.25% | 41.71% |
Correlation
The correlation between EEMA and GMF is 0.95, 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 | 0.95 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.94 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.95 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.95 |
Correlation (All Time) Calculated using the full available price history since Feb 10, 2012 | 0.92 |
The correlation between EEMA and GMF has been stable across timeframes, ranging from 0.92 to 0.95 - a consistent structural relationship.
EEMA vs. GMF - Sectors Allocation Comparison
Sectors
EEMA
GMF
Technology
Financial Services
Consumer Cyclical
Industrials
Communication Services
Basic Materials
Healthcare
Energy
Consumer Defensive
Utilities
Real Estate
Technology
EEMA
GMF
Financial Services
EEMA
GMF
Consumer Cyclical
EEMA
GMF
Industrials
EEMA
GMF
Communication Services
EEMA
GMF
Basic Materials
EEMA
GMF
Healthcare
EEMA
GMF
Energy
EEMA
GMF
Consumer Defensive
EEMA
GMF
Utilities
EEMA
GMF
Real Estate
EEMA
GMF
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Return for Risk
EEMA vs. GMF — Risk / Return Rank
EEMA
GMF
EEMA vs. GMF - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for iShares MSCI Emerging Markets Asia ETF (EEMA) and SPDR S&P Emerging Asia Pacific ETF (GMF). 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.
| EEMA | GMF | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 2.92 | 2.11 | +0.81 |
Sortino ratioReturn per unit of downside risk | 3.77 | 2.96 | +0.81 |
Omega ratioGain probability vs. loss probability | 1.53 | 1.38 | +0.14 |
Calmar ratioReturn relative to maximum drawdown | 4.25 | 2.80 | +1.45 |
Martin ratioReturn relative to average drawdown | 16.04 | 10.39 | +5.65 |
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
| EEMA | GMF | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 2.92 | 2.11 | +0.81 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.37 | 0.32 | +0.05 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.53 | 0.54 | -0.01 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.38 | 0.30 | +0.08 |
Drawdowns
EEMA vs. GMF - Drawdown Comparison
The maximum EEMA drawdown since its inception was -44.18%, smaller than the maximum GMF drawdown of -67.18%. Use the drawdown chart below to compare losses from any high point for EEMA and GMF.
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Drawdown Indicators
| EEMA | GMF | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -44.18% | -67.18% | +23.00% |
Max Drawdown (1Y)Largest decline over 1 year | -14.30% | -12.62% | -1.68% |
Max Drawdown (3Y)Largest decline over 3 years | -20.23% | -21.43% | +1.20% |
Max Drawdown (5Y)Largest decline over 5 years | -40.67% | -35.76% | -4.91% |
Max Drawdown (10Y)Largest decline over 10 years | -44.18% | -40.18% | -4.00% |
Current DrawdownCurrent decline from peak | 0.00% | 0.00% | 0.00% |
Average DrawdownAverage peak-to-trough decline | -13.98% | -16.59% | +2.61% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.79% | 3.40% | +0.39% |
Volatility
EEMA vs. GMF - Volatility Comparison
iShares MSCI Emerging Markets Asia ETF (EEMA) has a higher volatility of 8.37% compared to SPDR S&P Emerging Asia Pacific ETF (GMF) at 5.95%. This indicates that EEMA's price experiences larger fluctuations and is considered to be riskier than GMF based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| EEMA | GMF | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 8.37% | 5.95% | +2.42% |
Volatility (6M)Calculated over the trailing 6-month period | 17.35% | 13.57% | +3.78% |
Volatility (1Y)Calculated over the trailing 1-year period | 20.37% | 16.45% | +3.92% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 20.40% | 18.52% | +1.88% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 20.87% | 19.19% | +1.68% |
EEMA vs. GMF - Expense Ratio Comparison
EEMA has a 0.50% expense ratio, which is higher than GMF's 0.49% expense ratio.
Dividends
EEMA vs. GMF - Dividend Comparison
EEMA's dividend yield for the trailing twelve months is around 1.14%, less than GMF's 1.29% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
EEMA iShares MSCI Emerging Markets Asia ETF | 1.14% | 1.48% | 1.74% | 2.02% | 1.78% | 2.19% | 1.15% | 1.86% | 2.17% | 1.74% | 1.74% | 2.44% |
GMF SPDR S&P Emerging Asia Pacific ETF | 1.29% | 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 0.95, EEMA and GMF 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.
EEMA has higher volatility (8.37%) compared to GMF (5.95%). In terms of maximum drawdown, EEMA dropped -44.18% vs GMF's -67.18%.
On 10-year performance, EEMA leads with 10.93% vs 10.32% for GMF. On fees, GMF is cheaper at 0.49% per year. On volatility, GMF has been the lower-risk option at 5.95%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, EEMA has performed better with a 10.93% return vs 10.32%. 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 0.50% for EEMA.
GMF has the higher dividend yield at 1.29%, compared with 1.14% for EEMA.
EEMA tracks MSCI Emerging Markets Asia Index, while GMF tracks S&P Asia Pacific Emerging BMI Index. They also come from different issuers: iShares and State Street. Their fees differ too: 0.50% for EEMA and 0.49% for GMF.
EEMA currently has the higher Sharpe Ratio (2.92 vs 2.11), 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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