SJB vs. UBT - ETF Comparison
SJB - ProShares Short High Yield
The ProShares Short High Yield ETF provides daily inverse exposure to the iBoxx $ Liquid High Yield Index, allowing investors to bet against the performance of junk bonds in the US market. This fund is designed for tactical investors seeking to hedge against potential downturns in the high-yield bond sector, rather than for long-term portfolio building.
UBT - ProShares Ultra 20+ Year Treasury
The ProShares Ultra 20+ Year Treasury ETF provides 2x leveraged exposure to the U.S. 20+ Year Treasury Index, offering a powerful tool for sophisticated investors with a bullish short-term outlook for U.S. long-term treasuries.
| SJB | UBT | |
|---|---|---|
| Fund Name | ProShares Short High Yield | ProShares Ultra 20+ Year Treasury |
| Fund Provider | Proshare Advisors LLC | Proshare Advisors LLC |
| Index | iBoxx $ Liquid High Yield Index (-100%) | U.S. Treasury 20+ Year Index (-200%) |
| Asset Class | Bonds | Bonds |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.95% | 0.95% |
| Inception Date | 2011-03-21 | 2010-01-19 |
| Number Of Holdings | 4 | 2 |
| Currency | USD | USD |
| Region | United States | United States |
| Sector | Financials | Financials |
| Sector Detail | High Yield Bonds | Government Bonds |
| Bond Type | High Yield Bonds | Government Bonds |
| 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.