EUNZ vs. IS31 - ETF Comparison
EUNZ - iShares Edge MSCI EM Minimum Volatility UCITS ETF
The iShares Edge MSCI EM Minimum Volatility UCITS ETF is an exchange-traded fund that seeks to track the MSCI Emerging Markets Minimum Volatility index, providing investors with a low-risk investment approach in emerging markets worldwide.
IS31 - iShares Edge S&P 500 Minimum Volatility UCITS ETF EUR Hedged (Acc)
The iShares Edge S&P 500 Minimum Volatility UCITS ETF EUR Hedged (Acc) is an equity ETF that tracks the S&P 500 Minimum Volatility (EUR Hedged) index, providing investors with a low-volatility portfolio of large-cap US stocks. The fund is currency hedged to Euro (EUR) and has a total expense ratio of 0.25% p.a.
| EUNZ | IS31 | |
|---|---|---|
| Fund Name | iShares Edge MSCI EM Minimum Volatility UCITS ETF | iShares Edge S&P 500 Minimum Volatility UCITS ETF EUR Hedged (Acc) |
| Fund Provider | BlackRock | BlackRock |
| Index | MSCI Emerging Markets Minimum Volatility | S&P 500 Minimum Volatility (EUR Hedged) |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.4% | 0.25% |
| Inception Date | 2012-11-30 | 2016-11-18 |
| Number Of Holdings | 327 | 81 |
| Currency | USD | EUR |
| Distribution Policy | Accumulating | Accumulating |
| Region | Emerging Markets | United States |
| Investment Style | Low Volatility/Risk Weighted | Low Volatility/Risk Weighted |
| 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.