VGVE vs. ACM9 - ETF Comparison
VGVE - Vanguard FTSE Developed World UCITS ETF Distributing
The Vanguard FTSE Developed World UCITS ETF Distributing tracks the FTSE Developed index, providing exposure to the largest stocks in developed markets worldwide. With a low expense ratio of 0.12%, this ETF offers a cost-effective way to invest in a diversified portfolio of developed market equities.
ACM9 - Amundi ETF MSCI World ex EMU UCITS ETF EUR (C)
The Amundi ETF MSCI World ex EMU UCITS ETF EUR (C) is an exchange-traded fund that tracks the MSCI World ex EMU index, providing investors with exposure to developed markets outside of the European Monetary Union. The fund uses a synthetic replication method and has a total expense ratio of 0.35% per annum. It is a large-cap fund with a long-only strategy and does not distribute dividends, instead reinvesting them in the fund.
| VGVE | ACM9 | |
|---|---|---|
| Fund Name | Vanguard FTSE Developed World UCITS ETF Distributing | Amundi ETF MSCI World ex EMU UCITS ETF EUR (C) |
| Fund Provider | Vanguard | Amundi |
| Index | FTSE Developed | MSCI World ex EMU |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.12% | 0.35% |
| Inception Date | 2014-09-30 | 2009-06-29 |
| Currency | USD | EUR |
| Distribution Policy | Distributing | Accumulating |
| Region | Developed Markets | Developed Markets |
| Investment Style | Blend | Blend |
| Market Cap | Blend | 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.