SPLG vs. XXXX - ETF Comparison
SPLG - SPDR Portfolio S&P 500 ETF
The SPDR Portfolio S&P 500 ETF is a low-cost equity fund that tracks the S&P 500 Index, providing exposure to large-cap stocks in the US market. It offers a diversified portfolio of well-known companies, often referred to as 'Blue Chips', with an ultra-low management fee, making it an attractive choice for investors seeking core holdings in their portfolio.
XXXX - MAX S&P 500 4X Leveraged ETN
The MAX S&P 500 4X Leveraged ETN is an exchange-traded note that provides four times the daily performance of the S&P 500 index, offering investors a leveraged exposure to the US large-cap equity market.
| SPLG | XXXX | |
|---|---|---|
| Fund Name | SPDR Portfolio S&P 500 ETF | MAX S&P 500 4X Leveraged ETN |
| Fund Provider | State Street | BMO Financial Group |
| Index | S&P 500 | S&P 500 |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.02% | 2.95% |
| Inception Date | 2005-11-08 | 2023-12-05 |
| Currency | USD | USD |
| Region | United States | United States |
| Market Cap | Large-Cap | Large-Cap |
| Leveraged | Non-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.