SC0H vs. XD9U - ETF Comparison
SC0H - Invesco MSCI USA UCITS ETF
The Invesco MSCI USA UCITS ETF is a cost-effective way to track the performance of the US stock market, providing exposure to a broad range of leading companies. With a low expense ratio of 0.05%, this fund is an attractive option for investors seeking long-term growth.
XD9U - Xtrackers MSCI USA UCITS ETF 1C
The Xtrackers MSCI USA UCITS ETF 1C is an equity exchange-traded fund that tracks the MSCI USA index, providing investors with exposure to the leading stocks in the US market. With a low expense ratio of 0.07%, the fund offers a cost-effective way to invest in the US equity market. The fund uses a full replication strategy to track the underlying index and distributes dividends by accumulating and reinvesting them.
| SC0H | XD9U | |
|---|---|---|
| Fund Name | Invesco MSCI USA UCITS ETF | Xtrackers MSCI USA UCITS ETF 1C |
| Fund Provider | Invesco | Deutsche Bank |
| Index | MSCI USA | MSCI USA |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.05% | 0.07% |
| Inception Date | 2009-03-31 | 2014-05-09 |
| Currency | USD | USD |
| Distribution Policy | Accumulating | Accumulating |
| Region | United States | United States |
| Market Cap | Blend | Blend |
| 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.