SCHA vs. AVUV - ETF Comparison
SCHA - Schwab U.S. Small-Cap ETF
The Schwab U.S. Small-Cap ETF (SCHA) tracks the Dow Jones U.S. Small-Cap Total Stock Market Total Return Index, providing diversified exposure to small-cap companies in the U.S. equity market. The fund's broad focus on both value and growth securities aims to capture the growth potential of small-cap firms while mitigating volatility. With a low expense ratio and a large number of holdings, SCHA offers a cost-effective way to add small-cap exposure to a portfolio.
AVUV - Avantis U.S. Small Cap Value ETF
The Avantis U.S. Small Cap Value ETF is an actively managed fund that seeks to provide long-term capital appreciation by investing in a diversified portfolio of small-cap value stocks in the United States.
| SCHA | AVUV | |
|---|---|---|
| Fund Name | Schwab U.S. Small-Cap ETF | Avantis U.S. Small Cap Value ETF |
| Fund Provider | Charles Schwab | American Century Investments |
| Index | Dow Jones U.S. Small-Cap Total Stock Market Total Return Index | Active (No Index) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.04% | 0.25% |
| Inception Date | 2009-11-03 | 2019-09-24 |
| Number Of Holdings | 1727 | 764 |
| Region | United States | United States |
| Investment Style | Blend | Value |
| Market Cap | Small-Cap | Small-Cap |
| Leveraged | Non-leveraged | Non-leveraged |
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Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Performance Analysis
The performance analysis examines historical data to assess the returns of the investment strategy, including key metrics such as Cumulative returns, End of Year (EoY) returns, and risk-adjusted returns like the Sharpe ratio or the Sortino ratio.
Cumulative Returns
End of Year Returns Table
End of Year Returns
Risk Analysis
The risk analysis refers to an assessment of potential negative events that could lead to a loss of capital. Conducting a risk analysis can help in deciding whether an investment should be made. This is done using risk metrics such as drawdowns, volatility and beta which reflect stakeholders' confidence in the consistency of an investment strategy.
Drawdowns
Drawdowns Table
Monte Carlo Simulation
The Monte Carlo simulation is a statistical method used to forecast portfolio returns by generating a wide range of potential outcomes through random sampling from historical asset price data. It helps investors assess the potential risk and return of a portfolio under various market conditions. The simulation takes into account the initial investment and optionally simulates cash flow scenarios like fixed contributions, fixed withdrawals, or percentage withdrawals.
IMPORTANT: The forecast generated through Monte Carlo simulations is purely hypothetical and does not guarantee future returns. Investment decisions should be made with consideration of various factors, and past performance is not indicative of future results.