UCYB vs. HACK - ETF Comparison
UCYB - ProShares Ultra Nasdaq Cybersecurity ETF
The ProShares Ultra Nasdaq Cybersecurity ETF is a leveraged equity fund that seeks to provide 2x daily exposure to the Nasdaq CTA Cybersecurity Index, which tracks the performance of companies involved in the cybersecurity industry. The fund is designed for investors seeking aggressive growth and willing to take on higher risk.
HACK - Amplify Cybersecurity ETF
The Amplify Cybersecurity ETF is an equity fund that tracks the Nasdaq ISE Cyber Security Select Index, providing exposure to companies involved in hardware, software, and services related to cybersecurity. The fund's portfolio is diversified across various market capitalizations, with a blend investment style.
| UCYB | HACK | |
|---|---|---|
| Fund Name | ProShares Ultra Nasdaq Cybersecurity ETF | Amplify Cybersecurity ETF |
| Fund Provider | Proshare Advisors LLC | Amplify Investments |
| Index | Nasdaq CTA Cybersecurity Index (200%) | Nasdaq ISE Cyber Security Select Index - Benchmark TR Net |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.97% | 0.60% |
| Inception Date | 2021-01-19 | 2014-11-11 |
| Number Of Holdings | 1 | 25 |
| Region | Global | United States |
| Investment Style | Growth | Blend |
| Market Cap | Blend | Blend |
| Sector | Technology | Technology |
| Sector Detail | Cybersecurity | Cybersecurity |
| Leveraged | 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.