WOOD vs. XME
WOOD (iShares Global Timber & Forestry ETF) and XME (SPDR S&P Metals & Mining ETF) are both Materials funds - WOOD tracks the S&P Global Timber & Forestry Index while XME tracks the S&P Metals & Mining Select Industry Index. Both are passively managed. Over the past 10 years, WOOD returned 5.20%/yr vs 20.21%/yr for XME. A 0.63 correlation means they provide meaningful diversification when combined. WOOD charges 0.46%/yr vs 0.35%/yr for XME.
Performance
WOOD vs. XME - Performance Comparison
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Returns By Period
In the year-to-date period, WOOD achieves a -6.95% return, which is significantly lower than XME's 24.13% return. Over the past 10 years, WOOD has underperformed XME with an annualized return of 5.20%, while XME has yielded a comparatively higher 20.21% annualized return.
WOOD
- 1D
- -0.73%
- 1M
- -0.81%
- YTD
- -6.95%
- 6M
- -3.23%
- 1Y
- -6.85%
- 3Y*
- -0.20%
- 5Y*
- -3.93%
- 10Y*
- 5.20%
XME
- 1D
- -3.24%
- 1M
- 9.89%
- YTD
- 24.13%
- 6M
- 29.19%
- 1Y
- 103.84%
- 3Y*
- 40.26%
- 5Y*
- 23.59%
- 10Y*
- 20.21%
WOOD vs. XME - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
WOOD iShares Global Timber & Forestry ETF | -6.95% | -3.27% | -4.21% | 13.84% | -19.39% | 17.03% | 20.36% | 19.75% | -17.73% | 34.49% |
XME SPDR S&P Metals & Mining ETF | 24.13% | 83.47% | -4.54% | 21.51% | 13.13% | 34.92% | 15.95% | 14.69% | -26.78% | 21.17% |
Correlation
The correlation between WOOD and XME is 0.46, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.46 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.53 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.60 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.60 |
Correlation (All Time) Calculated using the full available price history since Jun 26, 2008 | 0.63 |
The correlation between WOOD and XME shifts across timeframes, from 0.46 (1 year) to 0.63 (all time), reflecting how their relationship changes across market environments.
WOOD vs. XME - Sectors Allocation Comparison
Sectors
WOOD
XME
Basic Materials
Consumer Cyclical
-
Real Estate
-
Communication Services
-
-
Consumer Defensive
-
Energy
-
Financial Services
-
-
Healthcare
-
-
Industrials
-
Technology
-
Utilities
-
-
Basic Materials
WOOD
XME
Consumer Cyclical
WOOD
XME
-
Real Estate
WOOD
XME
-
Communication Services
WOOD
-
XME
-
Consumer Defensive
WOOD
-
XME
Energy
WOOD
-
XME
Financial Services
WOOD
-
XME
-
Healthcare
WOOD
-
XME
-
Industrials
WOOD
-
XME
Technology
WOOD
-
XME
Utilities
WOOD
-
XME
-
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Return for Risk
WOOD vs. XME — Risk / Return Rank
WOOD
XME
WOOD vs. XME - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for iShares Global Timber & Forestry ETF (WOOD) and SPDR S&P Metals & Mining ETF (XME). 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.
| WOOD | XME | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -3.39 | ||
| Sortino ratioReturn per unit of downside risk | -3.84 | ||
| Omega ratioGain probability vs. loss probability | 0.95 | 1.44 | -0.49 |
| Calmar ratioReturn relative to maximum drawdown | -0.32 | 4.62 | -4.94 |
| Martin ratioReturn relative to average drawdown | -0.74 | 11.75 | -12.49 |
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
| WOOD | XME | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | -0.37 | 3.02 | -3.39 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | -0.20 | 0.73 | -0.93 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | 0.24 | 0.62 | -0.38 |
Sharpe Ratio (All Time)Calculated using the full available price history | 0.15 | 0.18 | -0.03 |
Drawdowns
WOOD vs. XME - Drawdown Comparison
The maximum WOOD drawdown since its inception was -63.25%, smaller than the maximum XME drawdown of -85.89%. Use the drawdown chart below to compare losses from any high point for WOOD and XME.
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Drawdown Indicators
| WOOD | XME | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -63.25% | -85.89% | +22.64% |
Max Drawdown (1Y)Largest decline over 1 year | -21.64% | -22.60% | +0.96% |
Max Drawdown (3Y)Largest decline over 3 years | -22.79% | -30.47% | +7.68% |
Max Drawdown (5Y)Largest decline over 5 years | -30.71% | -37.27% | +6.56% |
Max Drawdown (10Y)Largest decline over 10 years | -50.20% | -61.69% | +11.49% |
Current DrawdownCurrent decline from peak | -24.31% | -3.24% | -21.07% |
Average DrawdownAverage peak-to-trough decline | -14.76% | -44.14% | +29.38% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 9.27% | 8.87% | +0.40% |
Volatility
WOOD vs. XME - Volatility Comparison
The current volatility for iShares Global Timber & Forestry ETF (WOOD) is 5.70%, while SPDR S&P Metals & Mining ETF (XME) has a volatility of 12.42%. This indicates that WOOD experiences smaller price fluctuations and is considered to be less risky than XME based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| WOOD | XME | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 5.70% | 12.42% | -6.72% |
Volatility (6M)Calculated over the trailing 6-month period | 13.96% | 26.73% | -12.77% |
Volatility (1Y)Calculated over the trailing 1-year period | 18.70% | 34.65% | -15.95% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 19.72% | 32.54% | -12.82% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 21.87% | 32.84% | -10.97% |
WOOD vs. XME - Expense Ratio Comparison
WOOD has a 0.46% expense ratio, which is higher than XME's 0.35% expense ratio.
Dividends
WOOD vs. XME - Dividend Comparison
WOOD's dividend yield for the trailing twelve months is around 2.69%, more than XME's 0.30% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
WOOD iShares Global Timber & Forestry ETF | 2.69% | 2.51% | 2.09% | 1.64% | 2.26% | 1.24% | 0.98% | 1.85% | 2.82% | 1.19% | 1.65% | 2.04% |
XME SPDR S&P Metals & Mining ETF | 0.30% | 0.38% | 0.65% | 1.00% | 1.64% | 0.70% | 0.99% | 2.43% | 2.23% | 1.15% | 1.02% | 2.61% |
Frequently Asked Questions
WOOD and XME have a correlation of 0.46, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
XME has higher volatility (12.42%) compared to WOOD (5.70%). In terms of maximum drawdown, WOOD dropped -63.25% vs XME's -85.89%.
On 10-year performance, XME leads with 20.21% vs 5.20% for WOOD. On fees, XME is cheaper at 0.35% per year. On volatility, WOOD has been the lower-risk option at 5.70%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, XME has performed better with a 20.21% return vs 5.20%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
XME is cheaper with a 0.35% expense ratio, compared with 0.46% for WOOD.
WOOD has the higher dividend yield at 2.69%, compared with 0.30% for XME.
WOOD tracks S&P Global Timber & Forestry Index, while XME tracks S&P Metals & Mining Select Industry Index. They also come from different issuers: iShares and State Street. Their fees differ too: 0.46% for WOOD and 0.35% for XME.
XME currently has the higher Sharpe Ratio (3.02 vs -0.37), 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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