F500 vs. LYP6 - ETF Comparison
F500 - Amundi S&P 500 ESG UCITS ETF Acc
The Amundi S&P 500 ESG UCITS ETF Acc is an equity ETF that tracks the S&P 500 ESG+ index, providing exposure to the largest US companies that meet environmental, social, and corporate governance (ESG) criteria. The ETF aims to replicate the performance of the underlying index by full replication, with a low expense ratio of 0.12% p.a..
LYP6 - Amundi Stoxx Europe 600 UCITS ETF Acc
The Amundi Stoxx Europe 600 UCITS ETF Acc is a low-cost, large-cap equity ETF that tracks the STOXX Europe 600 index, providing exposure to the 600 largest European companies. It employs a full replication strategy and has a total expense ratio of 0.07% p.a.. The ETF distributes dividends by accumulating and reinvesting them, and has a large asset base of €7,908 million.
| F500 | LYP6 | |
|---|---|---|
| Fund Name | Amundi S&P 500 ESG UCITS ETF Acc | Amundi Stoxx Europe 600 UCITS ETF Acc |
| Fund Provider | Amundi | Amundi |
| Index | S&P 500 ESG+ | STOXX Europe 600 |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.12% | 0.07% |
| Inception Date | 2016-06-29 | 2013-04-03 |
| Number Of Holdings | 317 | 600 |
| Currency | EUR | EUR |
| Distribution Policy | Accumulating | Accumulating |
| Region | United States | 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.