ELF1 vs. VMID - ETF Comparison
ELF1 - Deka MDAX UCITS ETF
The Deka MDAX UCITS ETF tracks the MDAX index, which comprises 50 German mid-cap stocks listed on the Frankfurt Stock Exchange. The fund aims to replicate the index's performance through full replication, with a total expense ratio of 0.30% per annum. The ETF accumulates and reinvests dividends, and has approximately €318 million in assets under management.
VMID - Vanguard FTSE 250 UCITS ETF Distributing
The Vanguard FTSE 250 UCITS ETF Distributing tracks the FTSE 250 index, providing exposure to 250 mid-cap companies based in the United Kingdom. With a low expense ratio of 0.10% p.a., this ETF offers a cost-effective way to invest in the UK equity market.
| ELF1 | VMID | |
|---|---|---|
| Fund Name | Deka MDAX UCITS ETF | Vanguard FTSE 250 UCITS ETF Distributing |
| Fund Provider | Deka ETFs | Vanguard |
| Index | MDAX | FTSE 250 |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.3% | 0.1% |
| Inception Date | 2014-04-11 | 2014-09-30 |
| Number Of Holdings | 50 | 251 |
| Currency | EUR | GBP |
| Distribution Policy | Accumulating | Distributing |
| Region | Europe | United Kingdom |
| Market Cap | Mid-Cap | Mid-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.