FTXL vs. SOXX - ETF Comparison
FTXL - First Trust Nasdaq Semiconductor ETF
The First Trust Nasdaq Semiconductor ETF is an exchange-traded fund that tracks the performance of the Nasdaq U.S. Smart Semiconductor Index, providing investors with diversified exposure to the U.S. semiconductor sector.
SOXX - iShares Semiconductor ETF
The iShares Semiconductor ETF (SOXX) tracks the ICE Semiconductor Sector Index, providing exposure to US and international companies that produce semiconductors, a crucial component in modern computing devices. The fund focuses on large-cap stocks, with a growth investment style, offering a balanced geographic exposure and diversification across approximately 31 holdings.
| FTXL | SOXX | |
|---|---|---|
| Fund Name | First Trust Nasdaq Semiconductor ETF | iShares Semiconductor ETF |
| Fund Provider | First Trust | BlackRock |
| Index | Nasdaq U.S. Smart Semiconductor Index | ICE Semiconductor Sector Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.60% | 0.35% |
| Inception Date | 2016-09-20 | 2001-07-10 |
| Number Of Holdings | 32 | 31 |
| Region | United States | United States |
| Investment Style | Growth | Growth |
| Market Cap | Blend | Large-Cap |
| Sector | Technology | Technology |
| Sector Detail | Semiconductors | Semiconductors |
| 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.