BIL vs. SPY - ETF Comparison
BIL - SPDR Bloomberg 1-3 Month T-Bill ETF
The SPDR Bloomberg 1-3 Month T-Bill ETF is a fixed income fund that provides exposure to the ultrashort end of the US Treasury yield curve, focusing on zero-coupon T-Bills with less than three months until maturity. It offers a low-risk investment option with minimal interest rate and credit risk, making it an attractive safe-haven asset in volatile markets.
SPY - SPDR S&P 500 ETF Trust
The SPDR S&P 500 ETF Trust is a large-cap equity fund that tracks the S&P 500 index, providing exposure to a broad range of US large-cap stocks. It is one of the largest and most heavily-traded ETFs in the world, offering liquidity and flexibility for investors seeking to establish exposure to the US equity market.
| BIL | SPY | |
|---|---|---|
| Fund Name | SPDR Bloomberg 1-3 Month T-Bill ETF | SPDR S&P 500 ETF Trust |
| Fund Provider | State Street | State Street |
| Index | Bloomberg US Treasury - Bills (1-3 M) | S&P 500 |
| Asset Class | Bonds | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.14% | 0.09% |
| Inception Date | 2007-05-25 | 1993-01-22 |
| Number Of Holdings | 18 | 504 |
| Region | United States | United States |
| Leveraged | Non-leveraged | Non-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.