IS3N vs. IUSZ - ETF Comparison
IS3N - iShares Core MSCI Emerging Markets IMI UCITS ETF (Acc)
The iShares Core MSCI Emerging Markets IMI UCITS ETF (Acc) is a low-cost, large-cap ETF that tracks the MSCI Emerging Markets Investable Market (IMI) index, providing exposure to a diversified portfolio of emerging markets stocks worldwide.
IUSZ - iShares Core FTSE 100 UCITS ETF (Dist)
The iShares Core FTSE 100 UCITS ETF (Dist) is a large, low-cost ETF that tracks the FTSE 100 index, providing exposure to the 100 largest UK stocks. It offers a diversified portfolio with a total expense ratio of 0.07% p.a. and distributes dividends quarterly.
| IS3N | IUSZ | |
|---|---|---|
| Fund Name | iShares Core MSCI Emerging Markets IMI UCITS ETF (Acc) | iShares Core FTSE 100 UCITS ETF (Dist) |
| Fund Provider | BlackRock | BlackRock |
| Index | MSCI Emerging Markets Investable Market (IMI) | FTSE 100 |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.18% | 0.07% |
| Inception Date | 2014-05-30 | 2000-04-27 |
| Number Of Holdings | 3103 | 103 |
| Currency | USD | GBP |
| Distribution Policy | Accumulating | Distributing |
| Region | Emerging Markets | United Kingdom |
| Market Cap | Large-Cap | Large-Cap |
| 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.