MJMT vs. IS0U - ETF Comparison
MJMT - Amundi MSCI Europe Momentum Factor UCITS ETF EUR (C)
The Amundi MSCI Europe Momentum Factor UCITS ETF EUR (C) is an exchange-traded fund that tracks the MSCI Europe Momentum index, focusing on European equities with high price momentum. The fund aims to provide long-term capital growth by investing in a diversified portfolio of stocks with a strong momentum factor. With a low expense ratio of 0.23%, this ETF offers a cost-effective way to access the European equity market.
IS0U - iShares Edge MSCI Europe Momentum Factor UCITS ETF EUR (Dist)
The iShares Edge MSCI Europe Momentum Factor UCITS ETF EUR (Dist) is an equity ETF that tracks the MSCI Europe Momentum index, investing in European stocks with high price momentum. The fund uses a sampling technique to replicate the performance of the underlying index and distributes dividends semi-annually.
| MJMT | IS0U | |
|---|---|---|
| Fund Name | Amundi MSCI Europe Momentum Factor UCITS ETF EUR (C) | iShares Edge MSCI Europe Momentum Factor UCITS ETF EUR (Dist) |
| Fund Provider | Amundi | BlackRock |
| Index | MSCI Europe Momentum | MSCI Europe Momentum |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.23% | 0.25% |
| Inception Date | 2016-05-22 | 2018-02-23 |
| Currency | EUR | EUR |
| Distribution Policy | Accumulating | Distributing |
| Region | Europe | Europe |
| Investment Style | Momentum | Momentum |
| 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.