18MK vs. FLXI - ETF Comparison
18MK - Amundi MSCI India UCITS ETF EUR (C)
The Amundi MSCI India UCITS ETF EUR (C) is an exchange-traded fund that tracks the MSCI India index, providing investors with exposure to the leading Indian stocks. With a total expense ratio of 0.80% per annum, the fund uses a synthetic replication strategy with a swap to replicate the performance of the underlying index. The ETF distributes dividends by accumulating and reinvesting them, and has approximately €216 million in assets under management.
FLXI - Franklin FTSE India UCITS ETF
The Franklin FTSE India UCITS ETF is an exchange-traded fund that tracks the FTSE India 30/18 Capped index, providing investors with exposure to large and medium market capitalization Indian companies. The fund employs a full replication strategy and has a total expense ratio of 0.19% per annum.
| 18MK | FLXI | |
|---|---|---|
| Fund Name | Amundi MSCI India UCITS ETF EUR (C) | Franklin FTSE India UCITS ETF |
| Fund Provider | Amundi | Franklin Templeton |
| Index | MSCI India | FTSE India 30/18 Capped |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.8% | 0.19% |
| Inception Date | 2009-02-26 | 2019-06-25 |
| Currency | EUR | USD |
| Distribution Policy | Accumulating | Accumulating |
| Region | India | India |
| 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.