EXIC vs. CG1G - ETF Comparison
EXIC - iShares Core DAX® UCITS ETF (DE) EUR (Dist)
The iShares Core DAX UCITS ETF (DE) EUR (Dist) is an equity exchange-traded fund that tracks the DAX index, providing exposure to the 40 largest and most traded German stocks listed on the Frankfurt Stock Exchange. The fund is domiciled in Germany and has a total expense ratio of 0.16% p.a., distributing dividends quarterly.
CG1G - Amundi ETF DAX UCITS ETF DR
The Amundi ETF DAX UCITS ETF DR is an equity ETF that tracks the DAX index, which comprises the 40 largest and most traded German stocks listed on the Frankfurt Stock Exchange. The fund aims to provide long-only exposure to the German equity market, with a focus on large-cap stocks. The ETF has a total expense ratio of 0.10% and distributes dividends on an accumulating basis.
| EXIC | CG1G | |
|---|---|---|
| Fund Name | iShares Core DAX® UCITS ETF (DE) EUR (Dist) | Amundi ETF DAX UCITS ETF DR |
| Fund Provider | BlackRock | Amundi |
| Index | DAX | DAX |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.16% | 0.1% |
| Inception Date | 2021-04-27 | 2008-09-23 |
| Number Of Holdings | 40 | 40 |
| Currency | EUR | EUR |
| Distribution Policy | Distributing | Accumulating |
| Region | Europe | Europe |
| 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.