AHYJ vs. USTP - ETF Comparison
AHYJ - Amundi German Bund Daily (-1X) Inverse UCITS ETF Dist
The Amundi German Bund Daily (-1X) Inverse UCITS ETF Dist is an inverse bond ETF that tracks the Solactive Bund Daily (-1x) Inverse index, providing a short exposure to the German government bond market. The fund uses a synthetic replication method and has a total expense ratio of 0.20% p.a.
USTP - Ossiam US Steepener UCITS ETF 1C (USD)
The Ossiam US Steepener UCITS ETF 1C (USD) is an exchange-traded fund that tracks the Solactive US Treasury Yield Curve Steepener 2-5 vs 10-30 index, providing exposure to the US government bond market. The fund uses a synthetic replication strategy with a swap and accumulates interest income, reinvesting it in the ETF.
| AHYJ | USTP | |
|---|---|---|
| Fund Name | Amundi German Bund Daily (-1X) Inverse UCITS ETF Dist | Ossiam US Steepener UCITS ETF 1C (USD) |
| Fund Provider | Amundi | Ossiam |
| Index | Solactive Bund Daily (-1x) Inverse | Solactive US Treasury Yield Curve Steepener 2-5 vs 10-30 |
| Asset Class | Bonds | Bonds |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.2% | 0.3% |
| Inception Date | 2010-10-07 | 2019-08-01 |
| Currency | EUR | USD |
| Distribution Policy | Distributing | Accumulating |
| Region | Europe | United States |
| Sector | Financials | Financials |
| Sector Detail | Government Bonds | Government Bonds |
| Bond Type | Government Bonds | Government Bonds |
| Leveraged | Leveraged | 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.