USDU vs. YCS - ETF Comparison
USDU - WisdomTree Bloomberg U.S. Dollar Bullish Fund
The WisdomTree Bloomberg U.S. Dollar Bullish Fund is an actively managed currency ETF that seeks to provide returns through a long position in the U.S. dollar against a short position in a basket of global currencies.
YCS - ProShares UltraShort Yen
The ProShares UltraShort Yen ETF is designed for investors seeking to bet against the Japanese yen's performance relative to the US dollar or to hedge against existing yen exposure. It utilizes daily leverage, aiming to achieve amplified returns over a single trading session.
| USDU | YCS | |
|---|---|---|
| Fund Name | WisdomTree Bloomberg U.S. Dollar Bullish Fund | ProShares UltraShort Yen |
| Fund Provider | WisdomTree | Proshare Advisors LLC |
| Index | Active (No Index) | Japanese Yen per U.S. Dollar (200%) |
| Asset Class | Cash & Currencies | Cash & Currencies |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.50% | 0.95% |
| Inception Date | 2013-12-18 | 2008-11-25 |
| Number Of Holdings | 7 | 1 |
| Currency | USD | JPY |
| Region | United States | Japan |
| 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.