ETF Comparison: B8TC vs ZPR1
ETF Descriptions
B8TC - Amundi Fed Funds US Dollar Cash UCITS ETF Acc
The Amundi Fed Funds US Dollar Cash UCITS ETF Acc is a money market ETF that tracks the Solactive Fed Funds Effective Rate index, providing exposure to the US short-term money market interest rate. It offers a low-cost and synthetic replication of the underlying index, with a total expense ratio of 0.10% p.a..
ZPR1 - SPDR Bloomberg 1-3 Month T-Bill UCITS ETF
The SPDR Bloomberg 1-3 Month T-Bill UCITS ETF is a money market fund that tracks the Bloomberg US Treasury 1-3m index, investing in high-quality, short-term US Treasury bonds with a maturity of 1-3 months. The fund provides a low-risk investment option with a focus on capital preservation and liquidity.
Comparison Table
| B8TC | ZPR1 | |
|---|---|---|
| Fund Name | Amundi Fed Funds US Dollar Cash UCITS ETF Acc | SPDR Bloomberg 1-3 Month T-Bill UCITS ETF |
| Fund Provider | Amundi | State Street |
| Index | Solactive Fed Funds Effective Rate | Bloomberg US Treasury 1-3m |
| Asset Class | Cash & Currencies | Cash & Currencies |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.1% | 0.1% |
| Inception Date | 2015-06-05 | 2019-07-17 |
| Currency | USD | USD |
| Distribution Policy | Accumulating | Accumulating |
| Region | United States | United States |
| Leveraged | Non-leveraged | Non-leveraged |
Backtesting Options
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Performance Analysis
The performance analysis evaluates historical data to measure investment strategy returns through key metrics like Cumulative returns, End of Year (EoY) returns, and risk-adjusted measures such as the Sharpe ratio and Sortino ratio. This helps investors assess both absolute and relative performance across different market conditions.
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.