UEQC vs. 4RUC - ETF Comparison
UEQC - UBS ETF (IE) CMCI Commodity Carry SF UCITS ETF (USD) A-acc
The UBS ETF (IE) CMCI Commodity Carry SF UCITS ETF (USD) A-acc is an exchange-traded fund that tracks the UBS CM-BCOM Outperformance Strategy ex-Precious Metals 2.5 Leveraged index, providing investors with a leveraged exposure to a broad range of commodities, excluding precious metals.
4RUC - WisdomTree Natural Gas 2x Daily Leveraged
The WisdomTree Natural Gas 2x Daily Leveraged ETF tracks the Bloomberg Natural Gas SL Leverage (2x) index, providing two times leveraged exposure to natural gas prices. It uses a synthetic replication method with a swap and has a total expense ratio of 0.98% p.a..
| UEQC | 4RUC | |
|---|---|---|
| Fund Name | UBS ETF (IE) CMCI Commodity Carry SF UCITS ETF (USD) A-acc | WisdomTree Natural Gas 2x Daily Leveraged |
| Fund Provider | UBS | WisdomTree |
| Index | UBS CM-BCOM Outperformance Strategy ex-Precious Metals 2.5 Leveraged | Bloomberg Natural Gas SL Leverage (2x) |
| Asset Class | Commodity | Commodity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.34% | 0.98% |
| Inception Date | 2020-01-16 | 2008-03-11 |
| Currency | USD | USD |
| Distribution Policy | Accumulating | Accumulating |
| Leveraged | 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.