VCIT vs. EFA - ETF Comparison
VCIT - Vanguard Intermediate-Term Corporate Bond ETF
The Vanguard Intermediate-Term Corporate Bond ETF provides exposure to investment-grade corporate bonds with a moderate level of interest rate and credit risk. It offers a cost-efficient way to enhance fixed income returns without significantly lengthening duration.
EFA - iShares MSCI EAFE ETF
The iShares MSCI EAFE ETF is a broad-based equity fund that provides exposure to developed markets outside of North America, including Western Europe, Japan, and Australia. It offers a diversified portfolio of large-cap stocks, making it a valuable addition to long-term portfolios seeking geographic diversification. With a market capitalization-weighted approach, the fund provides a core holding for investors seeking to allocate to international equities.
| VCIT | EFA | |
|---|---|---|
| Fund Name | Vanguard Intermediate-Term Corporate Bond ETF | iShares MSCI EAFE ETF |
| Fund Provider | Vanguard | BlackRock |
| Index | Bloomberg US Aggregate Credit - Corporate (5-10 Y) | MSCI EAFE |
| Asset Class | Bonds | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.04% | 0.35% |
| Inception Date | 2009-11-19 | 2001-08-14 |
| Number Of Holdings | 2169 | 747 |
| Region | Developed Markets | Developed Markets |
| 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.