IUSU vs. IUSM - ETF Comparison
IUSU - iShares USD Treasury Bond 1-3yr UCITS ETF (Dist)
The iShares USD Treasury Bond 1-3yr UCITS ETF (Dist) is a bond ETF that tracks the ICE US Treasury 1-3 Year index, investing in US Dollar denominated government bonds issued by the US Treasury with a time to maturity of 1-3 years. The fund is designed to provide investors with a low-cost and diversified exposure to the US Treasury bond market.
IUSM - iShares USD Treasury Bond 7-10yr UCITS ETF (Dist)
The iShares USD Treasury Bond 7-10yr UCITS ETF (Dist) is a bond ETF that tracks the ICE US Treasury 7-10 Year index, providing exposure to US Dollar denominated government bonds issued by the US Treasury with a time to maturity of 7-10 years. The fund is designed to provide regular income and has a low expense ratio of 0.07% p.a..
| IUSU | IUSM | |
|---|---|---|
| Fund Name | iShares USD Treasury Bond 1-3yr UCITS ETF (Dist) | iShares USD Treasury Bond 7-10yr UCITS ETF (Dist) |
| Fund Provider | BlackRock | BlackRock |
| Index | ICE US Treasury 1-3 Year | ICE US Treasury 7-10 Year |
| Asset Class | Bonds | Bonds |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.07% | 0.07% |
| Inception Date | 2006-06-02 | 2006-12-08 |
| Number Of Holdings | 91 | 12 |
| Currency | USD | USD |
| Distribution Policy | Distributing | Distributing |
| 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.