GMF vs. XLU
GMF (SPDR S&P Emerging Asia Pacific ETF) and XLU (State Street Utilities 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 XLU is a Utilities Equities fund tracking the Utilities Select Sector Index. Both are passively managed. Over the past 10 years, GMF returned 10.11%/yr vs 9.22%/yr for XLU. At a 0.33 correlation, their price movements are largely independent. GMF charges 0.49%/yr vs 0.08%/yr for XLU.
Performance
GMF vs. XLU - 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 XLU's 3.65% return. Over the past 10 years, GMF has outperformed XLU with an annualized return of 10.11%, while XLU has yielded a comparatively lower 9.22% 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%
XLU
- 1D
- 0.53%
- 1M
- -5.24%
- YTD
- 3.65%
- 6M
- 1.99%
- 1Y
- 11.64%
- 3Y*
- 13.76%
- 5Y*
- 9.36%
- 10Y*
- 9.22%
GMF vs. XLU - 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% |
XLU State Street Utilities Select Sector SPDR ETF | 3.65% | 16.03% | 23.31% | -7.18% | 1.44% | 17.70% | 0.51% | 25.93% | 3.94% | 12.05% |
Correlation
The correlation between GMF and XLU is 0.18, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.18 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.22 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.18 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.17 |
Correlation (All Time) Calculated using the full available price history since Mar 26, 2007 | 0.33 |
The correlation between GMF and XLU shifts across timeframes, from 0.17 (10 years) to 0.33 (all time), reflecting how their relationship changes across market environments.
GMF vs. XLU - Sectors Allocation Comparison
Sectors
GMF
XLU
Technology
-
Financial Services
-
Consumer Cyclical
-
Communication Services
-
Industrials
-
Basic Materials
-
Healthcare
-
Consumer Defensive
-
Energy
-
Utilities
Real Estate
-
Technology
GMF
XLU
-
Financial Services
GMF
XLU
-
Consumer Cyclical
GMF
XLU
-
Communication Services
GMF
XLU
-
Industrials
GMF
XLU
-
Basic Materials
GMF
XLU
-
Healthcare
GMF
XLU
-
Consumer Defensive
GMF
XLU
-
Energy
GMF
XLU
-
Utilities
GMF
XLU
Real Estate
GMF
XLU
-
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Return for Risk
GMF vs. XLU — Risk / Return Rank
GMF
XLU
GMF vs. XLU - 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 Utilities Select Sector SPDR ETF (XLU). 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 | XLU | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +1.11 | ||
| Sortino ratioReturn per unit of downside risk | +1.54 | ||
| Omega ratioGain probability vs. loss probability | 1.35 | 1.15 | +0.20 |
| Calmar ratioReturn relative to maximum drawdown | 2.50 | 1.27 | +1.23 |
| Martin ratioReturn relative to average drawdown | 9.27 | 2.84 | +6.43 |
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 | XLU | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 1.92 | 0.81 | +1.11 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | 0.30 | 0.54 | -0.25 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.53 | 0.48 | +0.05 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.30 | 0.40 | -0.10 |
Drawdowns
GMF vs. XLU - Drawdown Comparison
The maximum GMF drawdown since its inception was -67.18%, which is greater than XLU's maximum drawdown of -51.98%. Use the drawdown chart below to compare losses from any high point for GMF and XLU.
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Drawdown Indicators
| GMF | XLU | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -67.18% | -51.98% | -15.20% |
Max Drawdown (1Y)Largest decline over 1 year | -12.62% | -9.18% | -3.44% |
Max Drawdown (3Y)Largest decline over 3 years | -21.43% | -17.26% | -4.17% |
Max Drawdown (5Y)Largest decline over 5 years | -35.76% | -25.26% | -10.50% |
Max Drawdown (10Y)Largest decline over 10 years | -40.18% | -36.07% | -4.11% |
Current DrawdownCurrent decline from peak | -1.01% | -7.30% | +6.29% |
Average DrawdownAverage peak-to-trough decline | -16.59% | -10.22% | -6.37% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.40% | 4.11% | -0.71% |
Volatility
GMF vs. XLU - Volatility Comparison
SPDR S&P Emerging Asia Pacific ETF (GMF) has a higher volatility of 6.11% compared to State Street Utilities Select Sector SPDR ETF (XLU) at 5.47%. This indicates that GMF's price experiences larger fluctuations and is considered to be riskier than XLU based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| GMF | XLU | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 6.11% | 5.47% | +0.64% |
Volatility (6M)Calculated over the trailing 6-month period | 13.65% | 11.52% | +2.13% |
Volatility (1Y)Calculated over the trailing 1-year period | 16.50% | 14.57% | +1.93% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 18.52% | 17.32% | +1.20% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 19.19% | 19.25% | -0.06% |
GMF vs. XLU - Expense Ratio Comparison
GMF has a 0.49% expense ratio, which is higher than XLU's 0.08% expense ratio.
Dividends
GMF vs. XLU - Dividend Comparison
GMF's dividend yield for the trailing twelve months is around 1.31%, less than XLU's 2.71% 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% |
XLU State Street Utilities Select Sector SPDR ETF | 2.71% | 2.71% | 2.96% | 3.39% | 2.92% | 2.79% | 3.14% | 2.95% | 3.33% | 3.33% | 3.41% | 3.67% |
Frequently Asked Questions
GMF and XLU have a correlation of 0.18, 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 XLU (5.47%). In terms of maximum drawdown, GMF dropped -67.18% vs XLU's -51.98%.
On 10-year performance, GMF leads with 10.11% vs 9.22% for XLU. On fees, XLU is cheaper at 0.08% per year. On volatility, XLU has been the lower-risk option at 5.47%. 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 9.22%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
XLU is cheaper with a 0.08% expense ratio, compared with 0.49% for GMF.
XLU has the higher dividend yield at 2.71%, compared with 1.31% for GMF.
GMF is categorized as Asia Pacific Equities, while XLU is Utilities Equities. GMF tracks S&P Asia Pacific Emerging BMI Index, while XLU tracks Utilities Select Sector Index. Their fees differ too: 0.49% for GMF and 0.08% for XLU.
GMF currently has the higher Sharpe Ratio (1.92 vs 0.81), 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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