LYSX vs. XESX - ETF Comparison
LYSX - Amundi EURO STOXX 50 II UCITS ETF Acc
The Amundi EURO STOXX 50 II UCITS ETF Acc is an equity fund that tracks the EURO STOXX 50 index, which comprises the 50 largest companies in the eurozone. The fund employs a long-only strategy and uses full replication to track the underlying index. It is an accumulating fund, meaning that dividends are reinvested in the ETF. With a total expense ratio of 0.20% p.a., the fund is a cost-effective way to gain exposure to the European equity market.
XESX - Xtrackers EURO STOXX 50 UCITS ETF 1D
The Xtrackers EURO STOXX 50 UCITS ETF 1D tracks the EURO STOXX 50 index, which comprises the 50 largest companies in the eurozone. This large-cap ETF provides diversified exposure to European equities, with a low expense ratio of 0.09% p.a..
| LYSX | XESX | |
|---|---|---|
| Fund Name | Amundi EURO STOXX 50 II UCITS ETF Acc | Xtrackers EURO STOXX 50 UCITS ETF 1D |
| Fund Provider | Amundi | Deutsche Bank |
| Index | EURO STOXX 50 | EURO STOXX 50 |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.2% | 0.09% |
| Inception Date | 2001-02-19 | 2007-01-04 |
| Number Of Holdings | 52 | 50 |
| Currency | EUR | EUR |
| Distribution Policy | Accumulating | Distributing |
| Region | Europe | Europe |
| 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.