SPAM vs. WCBR - ETF Comparison
SPAM - Themes Cybersecurity ETF
The Themes Cybersecurity ETF is an equity fund that tracks the Solactive Cyber Security Index, providing investors with exposure to developed markets and a focus on cybersecurity theme. The fund has a growth investment style and a multi-cap approach, with a total of 36 holdings and an expense ratio of 0.35%. The fund is provided by Themes ETF and has an inception date of December 8, 2023.
WCBR - WisdomTree Cybersecurity Fund
The WisdomTree Cybersecurity Fund is an equity ETF that tracks the WisdomTree Team8 Cybersecurity Index, providing exposure to companies involved in the cybersecurity sector. The fund invests in a diversified portfolio of 26 holdings, with a focus on developed markets and a fundamental weighting scheme.
| SPAM | WCBR | |
|---|---|---|
| Fund Name | Themes Cybersecurity ETF | WisdomTree Cybersecurity Fund |
| Fund Provider | Themes ETF | WisdomTree |
| Index | Solactive Cyber Security Index - Benchmark TR Net | WisdomTree Team8 Cybersecurity |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.35% | 0.45% |
| Inception Date | 2023-12-08 | 2021-01-28 |
| Number Of Holdings | 36 | 26 |
| Region | Developed Markets | Developed Markets |
| Sector | Technology | Technology |
| Sector Detail | Cybersecurity | Cybersecurity |
| 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.