GGLS vs. QQQD - ETF Comparison
GGLS - Direxion Daily GOOGL Bear 1X Shares ETF
The Direxion Daily GOOGL Bear 1X Shares ETF is an inverse equity fund that seeks to provide daily investment results, before fees and expenses, of -1x the performance of Alphabet Inc. Class A. The fund is designed for investors who want to gain inverse exposure to the U.S. Interactive Media & Services sector, with a focus on Communication Services.
QQQD - Direxion Daily Concentrated Qs Bear 1X Shares
The Direxion Daily Concentrated Qs Bear 1X Shares ETF provides inverse exposure to the large-cap segment of the US equity market, seeking to deliver the opposite of the daily performance of the Indxx Front of the Q Index.
| GGLS | QQQD | |
|---|---|---|
| Fund Name | Direxion Daily GOOGL Bear 1X Shares ETF | Direxion Daily Concentrated Qs Bear 1X Shares |
| Fund Provider | Rafferty Asset Management | Rafferty Asset Management |
| Index | Alphabet Inc. Class A (--100%) | Indxx Front of the Q Index - Benchmark TR Gross |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 1.09% | 0.57% |
| Inception Date | 2022-09-07 | 2024-03-07 |
| Number Of Holdings | 1 | 2 |
| Currency | USD | USD |
| Region | United States | United States |
| Market Cap | Large-Cap | Large-Cap |
| Leveraged | Inverse | Inverse |
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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.