GMF vs. XLE
GMF (SPDR S&P Emerging Asia Pacific ETF) and XLE (State Street Energy Select Sector SPDR ETF) are both exchange-traded funds - GMF is a Asia Pacific Equities fund tracking the S&P Asia Pacific Emerging BMI Index, while XLE is a Energy Equities fund tracking the Energy Select Sector Index. Both are passively managed. Over the past 10 years, GMF returned 10.11%/yr vs 9.99%/yr for XLE. At a 0.50 correlation, their price movements are largely independent. GMF charges 0.49%/yr vs 0.08%/yr for XLE.
Performance
GMF vs. XLE - 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 XLE's 32.26% return. Both investments have delivered pretty close results over the past 10 years, with GMF having a 10.11% annualized return and XLE not far behind at 9.99%.
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%
XLE
- 1D
- 0.07%
- 1M
- -1.18%
- YTD
- 32.26%
- 6M
- 29.34%
- 1Y
- 47.98%
- 3Y*
- 17.74%
- 5Y*
- 20.45%
- 10Y*
- 9.99%
GMF vs. XLE - 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% |
XLE State Street Energy Select Sector SPDR ETF | 32.26% | 7.88% | 5.56% | -0.63% | 64.32% | 53.28% | -32.67% | 11.74% | -18.22% | -0.89% |
Correlation
The correlation between GMF and XLE is -0.09, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | -0.09 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.14 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.23 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.34 |
Correlation (All Time) Calculated using the full available price history since Mar 26, 2007 | 0.50 |
The correlation between GMF and XLE shifts across timeframes, from -0.09 (1 year) to 0.50 (all time), reflecting how their relationship changes across market environments.
GMF vs. XLE - Sectors Allocation Comparison
Sectors
GMF
XLE
Technology
-
Financial Services
-
Consumer Cyclical
-
Communication Services
-
Industrials
-
Basic Materials
-
Healthcare
-
Consumer Defensive
-
Energy
Utilities
-
Real Estate
-
Technology
GMF
XLE
-
Financial Services
GMF
XLE
-
Consumer Cyclical
GMF
XLE
-
Communication Services
GMF
XLE
-
Industrials
GMF
XLE
-
Basic Materials
GMF
XLE
-
Healthcare
GMF
XLE
-
Consumer Defensive
GMF
XLE
-
Energy
GMF
XLE
Utilities
GMF
XLE
-
Real Estate
GMF
XLE
-
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Return for Risk
GMF vs. XLE — Risk / Return Rank
GMF
XLE
GMF vs. XLE - 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 Energy Select Sector SPDR ETF (XLE). 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 | XLE | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.45 | ||
| Sortino ratioReturn per unit of downside risk | -0.29 | ||
| Omega ratioGain probability vs. loss probability | 1.35 | 1.38 | -0.03 |
| Calmar ratioReturn relative to maximum drawdown | 2.50 | 4.00 | -1.50 |
| Martin ratioReturn relative to average drawdown | 9.27 | 11.60 | -2.32 |
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 | XLE | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 1.92 | 2.36 | -0.45 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.30 | 0.79 | -0.49 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.53 | 0.34 | +0.19 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.30 | 0.31 | -0.01 |
Drawdowns
GMF vs. XLE - Drawdown Comparison
The maximum GMF drawdown since its inception was -67.18%, smaller than the maximum XLE drawdown of -71.26%. Use the drawdown chart below to compare losses from any high point for GMF and XLE.
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Drawdown Indicators
| GMF | XLE | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -67.18% | -71.26% | +4.08% |
Max Drawdown (1Y)Largest decline over 1 year | -12.62% | -12.05% | -0.57% |
Max Drawdown (3Y)Largest decline over 3 years | -21.43% | -20.14% | -1.29% |
Max Drawdown (5Y)Largest decline over 5 years | -35.76% | -26.04% | -9.72% |
Max Drawdown (10Y)Largest decline over 10 years | -40.18% | -66.81% | +26.63% |
Current DrawdownCurrent decline from peak | -1.01% | -6.09% | +5.08% |
Average DrawdownAverage peak-to-trough decline | -16.59% | -17.98% | +1.39% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.40% | 4.15% | -0.75% |
Volatility
GMF vs. XLE - Volatility Comparison
The current volatility for SPDR S&P Emerging Asia Pacific ETF (GMF) is 6.11%, while State Street Energy Select Sector SPDR ETF (XLE) has a volatility of 8.25%. This indicates that GMF experiences smaller price fluctuations and is considered to be less risky than XLE based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| GMF | XLE | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 6.11% | 8.25% | -2.14% |
Volatility (6M)Calculated over the trailing 6-month period | 13.65% | 16.51% | -2.86% |
Volatility (1Y)Calculated over the trailing 1-year period | 16.50% | 20.50% | -4.00% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 18.52% | 26.01% | -7.49% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 19.19% | 29.58% | -10.39% |
GMF vs. XLE - Expense Ratio Comparison
GMF has a 0.49% expense ratio, which is higher than XLE's 0.08% expense ratio.
Dividends
GMF vs. XLE - Dividend Comparison
GMF's dividend yield for the trailing twelve months is around 1.31%, less than XLE's 2.54% 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% |
XLE State Street Energy Select Sector SPDR ETF | 2.54% | 3.28% | 3.36% | 3.55% | 3.68% | 4.21% | 5.62% | 6.72% | 3.54% | 3.03% | 2.26% | 3.39% |
Frequently Asked Questions
GMF and XLE have a correlation of -0.09, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
XLE has higher volatility (8.25%) compared to GMF (6.11%). In terms of maximum drawdown, GMF dropped -67.18% vs XLE's -71.26%.
On 10-year performance, GMF leads with 10.11% vs 9.99% for XLE. On fees, XLE is cheaper at 0.08% 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 9.99%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
XLE is cheaper with a 0.08% expense ratio, compared with 0.49% for GMF.
XLE has the higher dividend yield at 2.54%, compared with 1.31% for GMF.
GMF is categorized as Asia Pacific Equities, while XLE is Energy Equities. GMF tracks S&P Asia Pacific Emerging BMI Index, while XLE tracks Energy Select Sector Index. Their fees differ too: 0.49% for GMF and 0.08% for XLE.
XLE currently has the higher Sharpe Ratio (2.36 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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