DWSH vs. AAPD - ETF Comparison
DWSH - AdvisorShares Dorsey Wright Short ETF
The AdvisorShares Dorsey Wright Short ETF is an actively managed fund that provides inverse exposure to large-cap US equities, aiming to profit from declining markets. The fund uses a proprietary weighting scheme to select its holdings.
AAPD - Direxion Daily AAPL Bear 1X Shares ETF
The Direxion Daily AAPL Bear 1X Shares ETF is an inverse equity fund that provides daily short exposure to Apple Inc., a technology hardware company. The fund is designed to provide investors with a way to potentially profit from a decline in Apple's stock price.
| DWSH | AAPD | |
|---|---|---|
| Fund Name | AdvisorShares Dorsey Wright Short ETF | Direxion Daily AAPL Bear 1X Shares ETF |
| Fund Provider | AdvisorShares | Rafferty Asset Management |
| Index | Active (No Index) | Apple Inc. (--100%) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 2.84% | 1.06% |
| Inception Date | 2018-07-10 | 2022-08-09 |
| Number Of Holdings | 3 | 1 |
| 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.