EMUAA vs. ACWIU - ETF Comparison
EMUAA - UBS ETF (LU) MSCI EMU UCITS ETF (EUR) A-acc
The UBS ETF (LU) MSCI EMU UCITS ETF (EUR) A-acc is an equity fund that tracks the MSCI EMU index, providing exposure to large and mid-cap stocks from countries in the European Economic and Monetary Union. With a low expense ratio of 0.12%, it is a cost-effective way to invest in the European market.
ACWIU - UBS ETF (IE) MSCI ACWI SF UCITS ETF (hedged to USD) A-acc
The UBS ETF (IE) MSCI ACWI SF UCITS ETF (hedged to USD) A-acc is a large-cap equity fund that tracks the MSCI ACWI (USD Hedged) index, providing exposure to a diversified portfolio of stocks from 23 developed and 24 emerging markets worldwide, with a focus on long-only investment strategy and a total expense ratio of 0.21%.
| EMUAA | ACWIU | |
|---|---|---|
| Fund Name | UBS ETF (LU) MSCI EMU UCITS ETF (EUR) A-acc | UBS ETF (IE) MSCI ACWI SF UCITS ETF (hedged to USD) A-acc |
| Fund Provider | UBS | UBS |
| Index | MSCI EMU | MSCI ACWI (USD Hedged) |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.12% | 0.21% |
| Inception Date | 2016-08-12 | 2015-08-11 |
| Currency | EUR | USD |
| Distribution Policy | Accumulating | Accumulating |
| Region | Europe | Global |
| Market Cap | Blend | Blend |
| 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.