FXF vs. UDN - ETF Comparison
FXF - Invesco CurrencyShares Swiss Franc Trust
The Invesco CurrencyShares Swiss Franc Trust ETF provides exposure to the Swiss franc relative to the U.S. dollar, allowing investors to hedge against exchange rate fluctuations or bet against the US dollar. It is a single-asset fund that tracks the CHF/USD exchange rate, making it a unique option for investors seeking to manage currency risk.
UDN - Invesco DB US Dollar Index Bearish Fund
The Invesco DB US Dollar Index Bearish Fund is an exchange-traded fund that offers investors a way to hedge against the US dollar by tracking a basket of developed market currencies. The fund's strategy is designed to increase in value when the trade-weighted basket strengthens and decrease when the dollar appreciates.
| FXF | UDN | |
|---|---|---|
| Fund Name | Invesco CurrencyShares Swiss Franc Trust | Invesco DB US Dollar Index Bearish Fund |
| Fund Provider | Invesco | Invesco |
| Index | Swiss Franc | Deutsche Bank Short USD Currency Portfolio Index |
| Asset Class | Cash & Currencies | Cash & Currencies |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.40% | 0.78% |
| Inception Date | 2006-06-21 | 2007-02-20 |
| Number Of Holdings | 1 | 7 |
| Currency | CHF | USD |
| Region | Switzerland | United States |
| Leveraged | Non-leveraged | 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.