WOOD vs. SPY
WOOD (iShares Global Timber & Forestry ETF) and SPY (State Street SPDR S&P 500 ETF) are both exchange-traded funds - WOOD is a Materials fund tracking the S&P Global Timber & Forestry Index, while SPY is a S&P 500 fund tracking the S&P 500 Index. Both are passively managed. Over the past 10 years, WOOD returned 6.04%/yr vs 15.07%/yr for SPY. Their 0.72 correlation means they have sometimes moved together and sometimes differently. WOOD charges 0.46%/yr vs 0.09%/yr for SPY.
Performance
WOOD vs. SPY - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, WOOD achieves a 0.84% return, which is significantly lower than SPY's 10.13% return. Over the past 10 years, WOOD has underperformed SPY with an annualized return of 6.04%, while SPY has yielded a comparatively higher 15.07% annualized return.
WOOD
- 1D
- -0.18%
- 1M
- 7.81%
- 6M
- -2.77%
- YTD
- 0.84%
- 1Y
- 3.37%
- 3Y*
- 0.18%
- 5Y*
- -2.02%
- 10Y*
- 6.04%
- ALL TIME*
- 4.07%
SPY
- 1D
- 0.72%
- 1M
- 0.30%
- 6M
- 8.53%
- YTD
- 10.13%
- 1Y
- 21.49%
- 3Y*
- 19.32%
- 5Y*
- 12.76%
- 10Y*
- 15.07%
- ALL TIME*
- 10.79%
Liquidity Comparison
| Position | Avg. Volume Value (2W) | Avg. Volume Value (1M) | Avg. Volume Value (3M) |
|---|---|---|---|
| $37.27B | $35.99B | $39.23B | |
| $922.15K | $727.96K | $1.06M |
WOOD vs. SPY - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
WOOD iShares Global Timber & Forestry ETF | 0.84% | -3.27% | -4.21% | 13.84% | -19.39% | 17.03% | 20.36% | 19.75% | -17.73% | 34.49% |
SPY State Street SPDR S&P 500 ETF | 10.13% | 17.72% | 24.89% | 26.18% | -18.18% | 28.73% | 18.33% | 31.22% | -4.57% | 21.71% |
Correlation
The correlation between WOOD and SPY is 0.46, which is low. Their historical price movements had little consistent relationship.
| Correlation | |
|---|---|
Correlation (1Y) Focuses on recent behavior, but can change the most. | 0.46 |
Correlation (3Y) Balances recent behavior with more history. | 0.52 |
Correlation (5Y) Shows whether the relationship held over a longer period. | 0.60 |
Correlation (10Y) Provides a long-term view across more market conditions. | 0.64 |
Correlation (All Time) Calculated using the full available price history since Jun 25, 2008 | 0.72 |
Over the past year, the correlation between WOOD and SPY has dropped to 0.46 - well below their long-term average of 0.72, suggesting their price drivers have been diverging.
WOOD vs. SPY - Sectors Allocation Comparison
Sectors
WOOD
SPY
Basic Materials
Consumer Cyclical
Real Estate
Communication Services
-
Consumer Defensive
-
Energy
-
Financial Services
-
Healthcare
-
Industrials
-
Technology
-
Utilities
-
Basic Materials
WOOD
SPY
Consumer Cyclical
WOOD
SPY
Real Estate
WOOD
SPY
Communication Services
WOOD
-
SPY
Consumer Defensive
WOOD
-
SPY
Energy
WOOD
-
SPY
Financial Services
WOOD
-
SPY
Healthcare
WOOD
-
SPY
Industrials
WOOD
-
SPY
Technology
WOOD
-
SPY
Utilities
WOOD
-
SPY
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
WOOD vs. SPY — Risk / Return Rank
WOOD
SPY
WOOD vs. SPY - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for iShares Global Timber & Forestry ETF (WOOD) and State Street SPDR S&P 500 ETF (SPY). 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.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| WOOD | SPY | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.31 | ||
| Sortino ratioReturn per unit of downside risk | -1.67 | ||
| Omega ratioGain probability vs. loss probability | 1.05 | 1.27 | -0.22 |
| Calmar ratioReturn relative to maximum drawdown | 0.18 | 2.20 | -2.02 |
| Martin ratioReturn relative to average drawdown | 0.34 | 9.40 | -9.06 |
Loading charts...
Drawdowns
WOOD vs. SPY - Drawdown Comparison
The maximum WOOD drawdown since its inception was -63.25%, which is greater than SPY's maximum drawdown of -55.19%. Use the drawdown chart below to compare losses from any high point for WOOD and SPY.
Loading charts...
Drawdown Indicators
| WOOD | SPY | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -63.25% | -55.19% | -8.06% |
Max Drawdown (1Y)Largest decline over 1 year | -21.64% | -8.88% | -12.76% |
Max Drawdown (3Y)Largest decline over 3 years | -22.79% | -18.76% | -4.03% |
Max Drawdown (5Y)Largest decline over 5 years | -30.71% | -24.50% | -6.21% |
Max Drawdown (10Y)Largest decline over 10 years | -50.20% | -33.72% | -16.48% |
Current DrawdownCurrent decline from peak | -17.97% | -1.40% | -16.57% |
Average DrawdownAverage peak-to-trough decline | -14.83% | -9.01% | -5.82% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 11.43% | 2.08% | +9.35% |
Volatility
WOOD vs. SPY - Volatility Comparison
iShares Global Timber & Forestry ETF (WOOD) has a higher volatility of 5.30% compared to State Street SPDR S&P 500 ETF (SPY) at 3.58%. This indicates that WOOD's price experiences larger fluctuations and is considered to be riskier than SPY based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| WOOD | SPY | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 5.30% | 3.58% | +1.72% |
Volatility (6M)Calculated over the trailing 6-month period | 14.61% | 10.14% | +4.47% |
Volatility (1Y)Calculated over the trailing 1-year period | 18.65% | 12.89% | +5.76% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 19.74% | 17.18% | +2.56% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 21.74% | 17.95% | +3.79% |
WOOD vs. SPY - Expense Ratio Comparison
WOOD has a 0.46% expense ratio, which is higher than SPY's 0.09% expense ratio.
Dividends
WOOD vs. SPY - Dividend Comparison
WOOD's dividend yield for the trailing twelve months is around 2.34%, more than SPY's 1.01% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
SPY State Street SPDR S&P 500 ETF | 1.01% | 1.07% | 1.21% | 1.40% | 1.65% | 1.20% | 1.52% | 1.75% | 2.04% | 1.80% | 2.03% | 2.06% |
WOOD iShares Global Timber & Forestry ETF | 2.34% | 2.51% | 2.09% | 1.64% | 2.26% | 1.24% | 0.98% | 1.85% | 2.82% | 1.19% | 1.65% | 2.04% |
Frequently Asked Questions
WOOD and SPY 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.
WOOD has higher volatility (5.30%) compared to SPY (3.58%). In terms of maximum drawdown, WOOD dropped -63.25% vs SPY's -55.19%.
On 10-year performance, SPY leads with 15.07% vs 6.04% for WOOD. On fees, SPY is cheaper at 0.09% per year. On volatility, SPY has been the lower-risk option at 3.58%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, SPY has performed better with a 15.07% return vs 6.04%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SPY is cheaper with a 0.09% expense ratio, compared with 0.46% for WOOD.
WOOD has the higher dividend yield at 2.34%, compared with 1.01% for SPY.
WOOD is categorized as Materials, while SPY is S&P 500. WOOD tracks S&P Global Timber & Forestry Index, while SPY tracks S&P 500 Index. They also come from different issuers: iShares and State Street. Their fees differ too: 0.46% for WOOD and 0.09% for SPY.
SPY currently has the higher Sharpe Ratio (1.52 vs 0.21), 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.
Find the right allocation for WOOD and SPY
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer