CEMQ vs. UIM2 - ETF Comparison
CEMQ - iShares Edge MSCI Europe Quality Factor UCITS ETF
The iShares Edge MSCI Europe Quality Factor UCITS ETF is an equity fund that tracks the MSCI Europe Sector Neutral Quality index, investing in high-quality European companies with strong financials, low debt, and stable earnings. The fund is designed to provide long-term growth and income, with a low expense ratio of 0.25% p.a.
UIM2 - UBS ETF (LU) Factor MSCI EMU Quality ESG UCITS ETF (EUR) A-dis
The UBS ETF (LU) Factor MSCI EMU Quality ESG UCITS ETF (EUR) A-dis is an equity fund that tracks the MSCI EMU Quality ESG Low Carbon Select index, focusing on high-quality stocks from Eurozone countries with strong environmental, social, and corporate governance (ESG) credentials. The fund aims to provide long-term capital growth while maintaining a low carbon footprint.
| CEMQ | UIM2 | |
|---|---|---|
| Fund Name | iShares Edge MSCI Europe Quality Factor UCITS ETF | UBS ETF (LU) Factor MSCI EMU Quality ESG UCITS ETF (EUR) A-dis |
| Fund Provider | BlackRock | UBS |
| Index | MSCI Europe Sector Neutral Quality | MSCI EMU Quality ESG Low Carbon Select |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.25% | 0.25% |
| Inception Date | 2015-01-16 | 2015-08-18 |
| Number Of Holdings | 124 | 67 |
| Currency | EUR | EUR |
| Distribution Policy | Accumulating | Distributing |
| Region | Europe | Europe |
| Investment Style | Quality | Quality |
| 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.