SW2CHA vs. XSMC - ETF Comparison
SW2CHA - UBS ETF (LU) MSCI Switzerland 20/35 UCITS ETF (CHF) A-dis
The UBS ETF (LU) MSCI Switzerland 20/35 UCITS ETF (CHF) A-dis is an equity fund that tracks the MSCI Switzerland 20/35 index, providing exposure to leading Swiss stocks with a unique 20/35 weighting rule. The fund is domiciled in Luxembourg and has a total expense ratio of 0.20% p.a.
XSMC - Xtrackers Swiss Large Cap UCITS ETF 1C
The Xtrackers Swiss Large Cap UCITS ETF 1C is an equity ETF that tracks the Solactive Swiss Large Cap index, providing exposure to the 20 largest and most liquid Swiss large and mid-cap stocks. With a low expense ratio of 0.30% p.a., it is an attractive option for investors seeking to invest in the Swiss market.
| SW2CHA | XSMC | |
|---|---|---|
| Fund Name | UBS ETF (LU) MSCI Switzerland 20/35 UCITS ETF (CHF) A-dis | Xtrackers Swiss Large Cap UCITS ETF 1C |
| Fund Provider | UBS | Deutsche Bank |
| Index | MSCI Switzerland 20/35 | Solactive Swiss Large Cap |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.2% | 0.3% |
| Inception Date | 2013-11-28 | 2013-07-09 |
| Number Of Holdings | 45 | 20 |
| Currency | CHF | CHF |
| Distribution Policy | Distributing | Accumulating |
| Region | Switzerland | Switzerland |
| 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.