ONEQ vs. FDVV - ETF Comparison
ONEQ - Fidelity Nasdaq Composite Index ETF
The Fidelity Nasdaq Composite Index ETF provides broad-based exposure to the US equity market, tracking the NASDAQ Composite Index. With over 2,000 holdings, it offers a diversified portfolio with a strong tilt towards technology. This ETF is suitable for investors seeking large-cap growth exposure with a focus on the US market, but may not be suitable as a standalone holding due to its sector bias.
FDVV - Fidelity High Dividend ETF
The Fidelity High Dividend ETF is an equity fund that tracks an index of large- and mid-cap developed market stocks that pay high dividends, providing investors with a steady income stream from their equity holdings. The fund focuses on high dividend yield and has a tiered weighting scheme, with a bias towards North American equities.
| ONEQ | FDVV | |
|---|---|---|
| Fund Name | Fidelity Nasdaq Composite Index ETF | Fidelity High Dividend ETF |
| Fund Provider | Fidelity | Fidelity |
| Index | NASDAQ Composite Index | Fidelity High Dividend Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.21% | 0.15% |
| Inception Date | 2003-09-25 | 2016-09-12 |
| Number Of Holdings | 1009 | 106 |
| Region | United States | United States |
| Investment Style | Growth | Blend |
| Market Cap | Large-Cap | Large-Cap |
| Leveraged | Non-leveraged | Non-leveraged |
Select Timeframe
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.