2B7M vs. SXRW - ETF Comparison
2B7M - iShares Core UK Gilts UCITS ETF
The iShares Core UK Gilts UCITS ETF is a bond-based exchange-traded fund that tracks the FTSE Actuaries UK Conventional Gilts All Stocks index, providing investors with exposure to Sterling-denominated UK government bonds with various maturities. The fund is designed to provide regular income and has a low expense ratio of 0.07%.
SXRW - iShares Core FTSE 100 UCITS ETF GBP (Acc)
The iShares Core FTSE 100 UCITS ETF GBP (Acc) is a low-cost, large-cap equity ETF that tracks the FTSE 100 index, providing exposure to the 100 largest UK stocks. It uses a full replication strategy and accumulates dividends, reinvesting them in the ETF. With a total expense ratio of 0.07% p.a., it is an attractive option for investors seeking UK equity exposure.
| 2B7M | SXRW | |
|---|---|---|
| Fund Name | iShares Core UK Gilts UCITS ETF | iShares Core FTSE 100 UCITS ETF GBP (Acc) |
| Fund Provider | BlackRock | BlackRock |
| Index | FTSE Actuaries UK Conventional Gilts All Stocks | FTSE 100 |
| Asset Class | Bonds | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.07% | 0.07% |
| Inception Date | 2006-12-01 | 2010-01-26 |
| Number Of Holdings | 65 | 103 |
| Currency | GBP | GBP |
| Distribution Policy | Distributing | Accumulating |
| Region | United Kingdom | United Kingdom |
| 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.