URE vs. SRS - ETF Comparison
URE - ProShares Ultra Real Estate
The ProShares Ultra Real Estate ETF provides 2x daily leverage to the U.S. real estate sector, allowing sophisticated investors to express a bullish short-term view. It tracks the S&P Real Estate Select Sector Index, comprising U.S. REITs, and is designed for investors who can monitor their position regularly. This fund is not suitable for long-term, buy-and-hold portfolios due to its high risk and volatility.
SRS - ProShares UltraShort Real Estate
The ProShares UltraShort Real Estate ETF provides inverse exposure to the U.S. real estate sector, offering sophisticated investors a tool to express a bearish short-term view. It is not suitable for long-term investors due to its high risk and volatility.
| URE | SRS | |
|---|---|---|
| Fund Name | ProShares Ultra Real Estate | ProShares UltraShort Real Estate |
| Fund Provider | Proshare Advisors LLC | Proshare Advisors LLC |
| Index | S&P Real Estate Select Sector | S&P Real Estate Select Sector |
| Asset Class | Real Estate | Real Estate |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.95% | 0.95% |
| Inception Date | 2007-01-30 | 2007-01-30 |
| Number Of Holdings | 33 | 2 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Blend | Blend |
| Market Cap | Blend | Blend |
| Sector | Real Estate | Real Estate |
| Sector Detail | Real Estate | Real Estate |
| 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.