LBRA vs. AMEL - ETF Comparison
LBRA - Amundi MSCI Brazil UCITS ETF Acc
The Amundi MSCI Brazil UCITS ETF Acc is an exchange-traded fund that tracks the MSCI Brazil index, providing exposure to the largest and most liquid Brazilian stocks. The fund uses a synthetic replication strategy with a swap and has an expense ratio of 0.65%. The ETF accumulates and reinvests dividends, and has approximately €154 million in assets under management.
AMEL - Amundi MSCI Emerging Markets Latin America UCITS ETF EUR (C)
The Amundi MSCI Emerging Markets Latin America UCITS ETF EUR (C) is an exchange-traded fund that tracks the MSCI Emerging Markets Latin America index, providing investors with exposure to the equity markets of emerging markets in Latin America. With a low expense ratio of 0.2%, this fund offers a cost-effective way to invest in the region.
| LBRA | AMEL | |
|---|---|---|
| Fund Name | Amundi MSCI Brazil UCITS ETF Acc | Amundi MSCI Emerging Markets Latin America UCITS ETF EUR (C) |
| Fund Provider | Amundi | Amundi |
| Index | MSCI Brazil | MSCI Emerging Markets Latin America |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.65% | 0.2% |
| Inception Date | 2007-01-24 | 2011-04-28 |
| Currency | EUR | EUR |
| Distribution Policy | Accumulating | Accumulating |
| Region | Latin America | Latin America |
| 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.