FNDA vs. SCHA
Compare and contrast key facts about Schwab Fundamental US Small Co. Index ETF (FNDA) and Schwab U.S. Small-Cap ETF (SCHA).
FNDA and SCHA are both exchange-traded funds (ETFs), meaning they are traded on stock exchanges and can be bought and sold throughout the day. FNDA is a passively managed fund by Charles Schwab that tracks the performance of the Russell RAFI Small Company US. It was launched on Aug 15, 2013. SCHA is a passively managed fund by Charles Schwab that tracks the performance of the Dow Jones U.S. Small-Cap Total Stock Market Total Return Index. It was launched on Nov 3, 2009. Both FNDA and SCHA are passive ETFs, meaning that they are not actively managed but aim to replicate the performance of the underlying index as closely as possible.
Scroll down to visually compare performance, riskiness, drawdowns, and other indicators and decide which better suits your portfolio: FNDA or SCHA.
Key characteristics
FNDA | SCHA | |
---|---|---|
YTD Return | 7.54% | 9.83% |
1Y Return | 23.42% | 27.38% |
3Y Return (Ann) | 3.24% | -0.16% |
5Y Return (Ann) | 10.45% | 9.08% |
10Y Return (Ann) | 9.30% | 8.92% |
Sharpe Ratio | 1.60 | 1.74 |
Sortino Ratio | 2.33 | 2.47 |
Omega Ratio | 1.28 | 1.30 |
Calmar Ratio | 1.92 | 1.32 |
Martin Ratio | 8.99 | 10.06 |
Ulcer Index | 3.36% | 3.38% |
Daily Std Dev | 18.93% | 19.57% |
Max Drawdown | -44.64% | -42.41% |
Current Drawdown | -3.29% | -2.95% |
Correlation
The correlation between FNDA and SCHA is 0.97, which is considered to be high. That indicates a strong positive relationship between their price movements. Having highly-correlated positions in a portfolio may signal a lack of diversification, potentially leading to increased risk during market downturns.
Performance
FNDA vs. SCHA - Performance Comparison
In the year-to-date period, FNDA achieves a 7.54% return, which is significantly lower than SCHA's 9.83% return. Both investments have delivered pretty close results over the past 10 years, with FNDA having a 9.30% annualized return and SCHA not far behind at 8.92%. The chart below displays the growth of a $10,000 investment in both assets, with all prices adjusted for splits and dividends.
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FNDA vs. SCHA - Expense Ratio Comparison
FNDA has a 0.25% expense ratio, which is higher than SCHA's 0.04% 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%.
Risk-Adjusted Performance
FNDA vs. SCHA - Risk-Adjusted Performance Comparison
This table presents a comparison of risk-adjusted performance metrics for Schwab Fundamental US Small Co. Index ETF (FNDA) and Schwab U.S. Small-Cap ETF (SCHA). 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.
Dividends
FNDA vs. SCHA - Dividend Comparison
FNDA's dividend yield for the trailing twelve months is around 2.22%, more than SCHA's 1.66% yield.
TTM | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Schwab Fundamental US Small Co. Index ETF | 2.22% | 2.74% | 2.10% | 1.77% | 1.81% | 1.57% | 3.31% | 2.29% | 1.52% | 2.01% | 1.55% | 0.32% |
Schwab U.S. Small-Cap ETF | 1.66% | 1.75% | 1.54% | 1.19% | 2.10% | 1.62% | 2.55% | 2.03% | 1.50% | 1.93% | 2.18% | 1.37% |
Drawdowns
FNDA vs. SCHA - Drawdown Comparison
The maximum FNDA drawdown since its inception was -44.64%, which is greater than SCHA's maximum drawdown of -42.41%. Use the drawdown chart below to compare losses from any high point for FNDA and SCHA. For additional features, visit the drawdowns tool.
Volatility
FNDA vs. SCHA - Volatility Comparison
The current volatility for Schwab Fundamental US Small Co. Index ETF (FNDA) is 3.95%, while Schwab U.S. Small-Cap ETF (SCHA) has a volatility of 4.30%. This indicates that FNDA experiences smaller price fluctuations and is considered to be less risky than SCHA based on this measure. The chart below showcases a comparison of their rolling one-month volatility.