BBLL vs. JEST - ETF Comparison
BBLL - JPMorgan BetaBuilders US Treasury Bond 0-1 yr UCITS ETF USD (Acc)
The JPMorgan BetaBuilders US Treasury Bond 0-1 yr UCITS ETF USD (Acc) is an exchange-traded fund that tracks the ICE US Treasury 0-1 Year index, providing exposure to US Dollar denominated government bonds issued by the US Treasury with a time to maturity of 0-1 years and a AAA rating. The fund uses a sampling technique to replicate the performance of the underlying index and has a total expense ratio of 0.07% p.a.
JEST - JPMorgan EUR Ultra-Short Income UCITS ETF - EUR (Acc)
The JPMorgan EUR Ultra-Short Income UCITS ETF - EUR (Acc) is an actively managed bond ETF that seeks to provide income by investing in a diversified portfolio of short-term, investment-grade, Euro-denominated debt securities, with a focus on the banking industry.
| BBLL | JEST | |
|---|---|---|
| Fund Name | JPMorgan BetaBuilders US Treasury Bond 0-1 yr UCITS ETF USD (Acc) | JPMorgan EUR Ultra-Short Income UCITS ETF - EUR (Acc) |
| Fund Provider | JPMorgan Chase | JPMorgan Chase |
| Index | ICE US Treasury 0-1 Year | JP Morgan EUR Ultra-Short Income |
| Asset Class | Bonds | Bonds |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.07% | 0.18% |
| Inception Date | 2019-07-09 | 2018-06-06 |
| Number Of Holdings | 80 | 169 |
| Currency | USD | EUR |
| Distribution Policy | Accumulating | Accumulating |
| Region | United States | Europe |
| Bond Type | Government Bonds | Corporate 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.