OILD vs. SCO - ETF Comparison
OILD - MicroSectors Oil & Gas Exp. & Prod. -3x Inverse Leveraged ETN
The MicroSectors Oil & Gas Exp. & Prod. -3x Inverse Leveraged ETN provides inverse exposure to the oil and gas exploration and production sector, allowing investors to potentially benefit from declining prices in the industry.
SCO - ProShares UltraShort Bloomberg Crude Oil
The ProShares UltraShort Bloomberg Crude Oil ETF provides inverse exposure to the performance of crude oil, offering a 2x daily short leverage to the Bloomberg Commodity Balanced WTI Crude Oil Index. This fund is designed for sophisticated investors with a bearish short-term outlook for crude oil, but may not be suitable for those with a low risk tolerance or a buy-and-hold strategy.
| OILD | SCO | |
|---|---|---|
| Fund Name | MicroSectors Oil & Gas Exp. & Prod. -3x Inverse Leveraged ETN | ProShares UltraShort Bloomberg Crude Oil |
| Fund Provider | BMO Financial Group | Proshare Advisors LLC |
| Index | Solactive MicroSectors Oil & Gas Exploration & Production Index (-300%) | Bloomberg Commodity Balanced WTI Crude Oil Index (-200%) |
| Asset Class | Commodity | Commodity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.95% | 0.95% |
| Inception Date | 2021-11-08 | 2008-11-24 |
| Number Of Holdings | 2 | 1 |
| Currency | USD | USD |
| Region | Global | Global |
| Sector | Energy | Energy |
| Sector Detail | Oil & Gas | Crude Oil |
| 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.