EXSE vs. SXRG - ETF Comparison
EXSE - iShares STOXX Europe Small 200 UCITS ETF (DE)
The iShares STOXX Europe Small 200 UCITS ETF (DE) tracks the STOXX Europe Small 200 index, providing exposure to 200 European mid-cap stocks. With a low expense ratio of 0.2%, this ETF offers a cost-effective way to invest in European small-cap equities, with a focus on long-term growth.
SXRG - iShares MSCI USA Small Cap ESG Enhanced UCITS ETF (Acc)
The iShares MSCI USA Small Cap ESG Enhanced UCITS ETF (Acc) is an equity fund that tracks the MSCI USA Small Cap ESG Enhanced Focus CTB index, focusing on US small cap stocks with a sustainability criteria. The fund has a total expense ratio of 0.43% and is domiciled in Ireland.
| EXSE | SXRG | |
|---|---|---|
| Fund Name | iShares STOXX Europe Small 200 UCITS ETF (DE) | iShares MSCI USA Small Cap ESG Enhanced UCITS ETF (Acc) |
| Fund Provider | BlackRock | BlackRock |
| Index | STOXX® Europe Small 200 | MSCI USA Small Cap ESG Enhanced Focus CTB |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.2% | 0.43% |
| Inception Date | 2005-04-04 | 2009-07-01 |
| Number Of Holdings | 201 | 1620 |
| Currency | EUR | USD |
| Distribution Policy | Distributing | Accumulating |
| Region | Europe | United States |
| Market Cap | Small-Cap | Small-Cap |
| Leveraged | Non-leveraged | Non-leveraged |
Select Timeframe
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.