COVR vs. SKUK - ETF Comparison
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.
SKUK - iShares USD Sukuk UCITS ETF USD (Dist)
The iShares USD Sukuk UCITS ETF USD (Dist) is an exchange-traded fund that tracks the J.P. Morgan EM Aggregate Sukuk index, providing exposure to Sukuk securities from emerging markets issued in US-Dollar. The fund follows a long-only strategy and distributes interest income semi-annually.
| COVR | SKUK | |
|---|---|---|
| Fund Name | PIMCO Covered Bond UCITS ETF Dist | iShares USD Sukuk UCITS ETF USD (Dist) |
| Fund Provider | PIMCO | BlackRock |
| Index | PIMCO Covered Bond | J.P. Morgan EM Aggregate Sukuk |
| Asset Class | Bonds | Bonds |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.43% | 0.4% |
| Inception Date | 2013-12-17 | 2024-01-17 |
| Number Of Holdings | 48 | 131 |
| Currency | EUR | USD |
| Distribution Policy | Distributing | Distributing |
| Region | Europe | Emerging Markets |
| Sector | Financials | Financials |
| 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.