VGIT vs. GOVT - ETF Comparison
VGIT - Vanguard Intermediate-Term Treasury ETF
The Vanguard Intermediate-Term Treasury ETF is a fixed income fund that tracks the Bloomberg US Treasury (3-10 Y) index, providing exposure to intermediate-term government bonds with maturities between three to ten years. It offers a moderate interest rate exposure and can be used to tilt exposure towards Treasuries without a bias towards either end of the maturity spectrum. The fund is suitable for investors seeking a low-cost, vanilla investment grade bond exposure.
GOVT - iShares U.S. Treasury Bond ETF
The iShares U.S. Treasury Bond ETF provides broad-based exposure to U.S. Treasuries with a range of maturities, offering a diversified fixed income investment option for investors seeking to allocate to the government bond market.
| VGIT | GOVT | |
|---|---|---|
| Fund Name | Vanguard Intermediate-Term Treasury ETF | iShares U.S. Treasury Bond ETF |
| Fund Provider | Vanguard | BlackRock |
| Index | Bloomberg US Treasury (3-10 Y) | ICE U.S. Treasury Core Bond Index |
| Asset Class | Bonds | Bonds |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.04% | 0.05% |
| Inception Date | 2009-11-19 | 2012-02-14 |
| Number Of Holdings | 109 | 202 |
| Currency | USD | USD |
| Region | United States | United States |
| Bond Type | Government Bonds | Government Bonds |
| 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.