FNDF vs. SPEM
FNDF (Schwab Fundamental International Equity ETF) and SPEM (SPDR Portfolio Emerging Markets ETF) are both exchange-traded funds - FNDF is a Foreign Large Cap Equities fund tracking the RAFI Fundamental High Liquidity Developed ex US Large Index (Net), while SPEM is a Emerging Markets Equities fund tracking the S&P Emerging Markets BMI. Both are passively managed. Over the past 10 years, FNDF returned 12.34%/yr vs 9.63%/yr for SPEM. A 0.77 correlation means they provide meaningful diversification when combined. FNDF charges 0.25%/yr vs 0.11%/yr for SPEM.
Performance
FNDF vs. SPEM - Performance Comparison
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Returns By Period
In the year-to-date period, FNDF achieves a 19.66% return, which is significantly higher than SPEM's 11.32% return. Over the past 10 years, FNDF has outperformed SPEM with an annualized return of 12.34%, while SPEM has yielded a comparatively lower 9.63% annualized return.
FNDF
- 1D
- 0.39%
- 1M
- 1.01%
- YTD
- 19.66%
- 6M
- 21.60%
- 1Y
- 40.25%
- 3Y*
- 22.69%
- 5Y*
- 13.11%
- 10Y*
- 12.34%
SPEM
- 1D
- 0.87%
- 1M
- -0.21%
- YTD
- 11.32%
- 6M
- 13.11%
- 1Y
- 25.79%
- 3Y*
- 17.37%
- 5Y*
- 5.60%
- 10Y*
- 9.63%
FNDF vs. SPEM - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
FNDF Schwab Fundamental International Equity ETF | 19.66% | 40.99% | 2.29% | 20.22% | -7.78% | 14.97% | 3.61% | 18.46% | -14.21% | 23.98% |
SPEM SPDR Portfolio Emerging Markets ETF | 11.32% | 25.63% | 11.40% | 10.51% | -17.90% | 1.51% | 14.55% | 19.69% | -13.26% | 34.82% |
Correlation
The correlation between FNDF and SPEM is 0.78, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.78 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.76 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.76 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.76 |
Correlation (All Time) Calculated using the full available price history since Aug 15, 2013 | 0.77 |
The correlation between FNDF and SPEM has been stable across timeframes, ranging from 0.76 to 0.78 - a consistent structural relationship.
FNDF vs. SPEM - Sectors Allocation Comparison
Sectors
FNDF
SPEM
Financial Services
Industrials
Energy
Basic Materials
Technology
Consumer Cyclical
Consumer Defensive
Healthcare
Communication Services
Utilities
Real Estate
Financial Services
FNDF
SPEM
Industrials
FNDF
SPEM
Energy
FNDF
SPEM
Basic Materials
FNDF
SPEM
Technology
FNDF
SPEM
Consumer Cyclical
FNDF
SPEM
Consumer Defensive
FNDF
SPEM
Healthcare
FNDF
SPEM
Communication Services
FNDF
SPEM
Utilities
FNDF
SPEM
Real Estate
FNDF
SPEM
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Return for Risk
FNDF vs. SPEM — Risk / Return Rank
FNDF
SPEM
FNDF vs. SPEM - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Schwab Fundamental International Equity ETF (FNDF) and SPDR Portfolio Emerging Markets ETF (SPEM). 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.
| FNDF | SPEM | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.98 | ||
| Sortino ratioReturn per unit of downside risk | +1.15 | ||
| Omega ratioGain probability vs. loss probability | 1.45 | 1.29 | +0.16 |
| Calmar ratioReturn relative to maximum drawdown | 3.82 | 2.28 | +1.54 |
| Martin ratioReturn relative to average drawdown | 14.27 | 8.16 | +6.11 |
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Drawdowns
FNDF vs. SPEM - Drawdown Comparison
The maximum FNDF drawdown since its inception was -40.14%, smaller than the maximum SPEM drawdown of -64.41%. Use the drawdown chart below to compare losses from any high point for FNDF and SPEM.
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Drawdown Indicators
| FNDF | SPEM | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -40.14% | -64.41% | +24.27% |
Max Drawdown (1Y)Largest decline over 1 year | -10.60% | -11.36% | +0.76% |
Max Drawdown (3Y)Largest decline over 3 years | -13.89% | -17.62% | +3.73% |
Max Drawdown (5Y)Largest decline over 5 years | -25.56% | -31.75% | +6.19% |
Max Drawdown (10Y)Largest decline over 10 years | -40.14% | -36.06% | -4.08% |
Current DrawdownCurrent decline from peak | -1.94% | -2.40% | +0.46% |
Average DrawdownAverage peak-to-trough decline | -7.63% | -14.73% | +7.10% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 2.84% | 3.17% | -0.33% |
Volatility
FNDF vs. SPEM - Volatility Comparison
Schwab Fundamental International Equity ETF (FNDF) and SPDR Portfolio Emerging Markets ETF (SPEM) have volatilities of 6.65% and 6.87%, respectively, indicating that both stocks experience similar levels of price fluctuations. This suggests that the risk associated with both stocks, as measured by volatility, is nearly the same. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| FNDF | SPEM | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 6.65% | 6.87% | -0.22% |
Volatility (6M)Calculated over the trailing 6-month period | 13.64% | 14.21% | -0.57% |
Volatility (1Y)Calculated over the trailing 1-year period | 16.00% | 16.67% | -0.67% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 16.35% | 17.26% | -0.91% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 17.71% | 18.83% | -1.12% |
FNDF vs. SPEM - Expense Ratio Comparison
FNDF has a 0.25% expense ratio, which is higher than SPEM's 0.11% expense ratio. However, both funds are considered low-cost compared to the broader market, where average expense ratios usually range from 0.3% to 0.9%.
Dividends
FNDF vs. SPEM - Dividend Comparison
FNDF's dividend yield for the trailing twelve months is around 2.87%, more than SPEM's 2.49% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
FNDF Schwab Fundamental International Equity ETF | 2.87% | 3.44% | 4.01% | 3.41% | 3.10% | 3.54% | 2.17% | 3.20% | 3.47% | 2.32% | 2.42% | 2.08% |
SPEM SPDR Portfolio Emerging Markets ETF | 2.49% | 2.77% | 2.78% | 2.80% | 3.38% | 3.14% | 1.92% | 2.94% | 2.34% | 1.12% | 1.51% | 2.40% |
Frequently Asked Questions
FNDF and SPEM have a correlation of 0.78, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SPEM has higher volatility (6.87%) compared to FNDF (6.65%). In terms of maximum drawdown, FNDF dropped -40.14% vs SPEM's -64.41%.
On 10-year performance, FNDF leads with 12.34% vs 9.63% for SPEM. On fees, SPEM is cheaper at 0.11% per year. On volatility, FNDF has been the lower-risk option at 6.65%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 10-year period, FNDF has performed better with a 12.34% return vs 9.63%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SPEM is cheaper with a 0.11% expense ratio, compared with 0.25% for FNDF.
FNDF has the higher dividend yield at 2.87%, compared with 2.49% for SPEM.
FNDF is categorized as Foreign Large Cap Equities, while SPEM is Emerging Markets Equities. FNDF tracks RAFI Fundamental High Liquidity Developed ex US Large Index (Net), while SPEM tracks S&P Emerging Markets BMI. They also come from different issuers: Charles Schwab and State Street. Their fees differ too: 0.25% for FNDF and 0.11% for SPEM.
FNDF currently has the higher Sharpe Ratio (2.53 vs 1.55), 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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