IUS6 vs. COVR - ETF Comparison
IUS6 - iShares Euro Covered Bond UCITS ETF
The iShares Euro Covered Bond UCITS ETF is a bond-focused exchange-traded fund that tracks the iBoxx EUR Covered index, investing in Euro-denominated covered bonds with investment-grade ratings and a minimum time to maturity of one year. The fund aims to provide income and capital growth by replicating the performance of the underlying index through a sampling technique.
COVR - PIMCO Covered Bond UCITS ETF Dist
The PIMCO Covered Bond UCITS ETF Dist is an actively managed bond ETF that aims to generate maximum income while preserving capital and maintaining daily liquidity. It invests primarily in a diversified portfolio of EUR-denominated covered bonds, with a focus on the European region.
| IUS6 | COVR | |
|---|---|---|
| Fund Name | iShares Euro Covered Bond UCITS ETF | PIMCO Covered Bond UCITS ETF Dist |
| Fund Provider | BlackRock | PIMCO |
| Index | iBoxx® EUR Covered | PIMCO Covered Bond |
| Asset Class | Bonds | Bonds |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.2% | 0.43% |
| Inception Date | 2008-08-01 | 2013-12-17 |
| Number Of Holdings | 1130 | 48 |
| Currency | EUR | EUR |
| Distribution Policy | Distributing | Distributing |
| Region | Europe | Europe |
| Sector | Financials | Financials |
| Sector Detail | Bonds | Bonds |
| Bond Type | Specialized Bonds | Specialized 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.