ETF Comparison: USRT vs RWR
ETF Descriptions
USRT - iShares Core U.S. REIT ETF
The iShares Core U.S. REIT ETF tracks the performance of the FTSE Nareit / Equity REITs - INV index, providing diversified exposure to U.S. real estate investment trusts (REITs).
RWR - SPDR Dow Jones REIT ETF
The SPDR Dow Jones REIT ETF provides exposure to the real estate industry within the US equity market, tracking the performance of an asset class that has historically delivered excess returns during bull markets and low correlation with traditional stock and bond investments.
Comparison Table
USRT | RWR | |
---|---|---|
Fund Name | iShares Core U.S. REIT ETF | SPDR Dow Jones REIT ETF |
Fund Provider | BlackRock | State Street |
Index | FTSE Nareit / Equity REITs - INV | Dow Jones U.S. Select REIT Index |
Asset Class | Real Estate | Real Estate |
Listing | US-listed | US-listed |
Expense Ratio | 0.08% | 0.25% |
Inception Date | 2007-05-01 | 2001-04-23 |
Number Of Holdings | 131 | 104 |
Currency | USD | USD |
Region | United States | United States |
Investment Style | Blend | Blend |
Market Cap | Blend | Blend |
Sector | Real Estate | Real Estate |
Sector Detail | REITs | REITs |
Leveraged | Non-leveraged | Non-leveraged |
Backtesting Options
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Performance Analysis
The performance analysis evaluates historical data to measure investment strategy returns through key metrics like Cumulative returns, End of Year (EoY) returns, and risk-adjusted measures such as the Sharpe ratio and Sortino ratio. This helps investors assess both absolute and relative performance across different market conditions.
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.