SMH vs. BNDX - ETF Comparison
SMH - VanEck Semiconductor ETF
The VanEck Semiconductor ETF (SMH) tracks the performance of the 25 largest US-listed semiconductor companies, providing investors with concentrated exposure to the American semiconductor industry. The fund offers a well-balanced risk/return profile, with a mix of giant, large, and mid-cap companies, and may appeal as a long-term, core holding for buy-and-hold investors seeking to tilt their exposure towards the technology sector.
BNDX - Vanguard Total International Bond ETF
The Vanguard Total International Bond ETF is a fixed income fund that tracks the Bloomberg Global Aggregate x USD Float Adjusted RIC Capped index, providing broad exposure to investment-grade bonds in developed markets outside the US.
| SMH | BNDX | |
|---|---|---|
| Fund Name | VanEck Semiconductor ETF | Vanguard Total International Bond ETF |
| Fund Provider | VanEck | Vanguard |
| Index | MVIS US Listed Semiconductor 25 | Bloomberg Global Aggregate x USD Float Adjusted RIC Capped |
| Asset Class | Equity | Bonds |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.35% | 0.07% |
| Inception Date | 2000-05-05 | 2013-06-04 |
| Number Of Holdings | 26 | 6831 |
| Currency | USD | USD |
| Region | Developed Markets | Developed Markets |
| 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.