BUFR vs. FVD - ETF Comparison
BUFR - FT Vest Laddered Buffer ETF
The FT Vest Laddered Buffer ETF is an actively managed equity fund that aims to provide investors with a volatility-hedged exposure to the US large-cap market. The fund employs a buy-write strategy and has a fixed weighting scheme, with a focus on broad-based large-cap stocks.
FVD - First Trust Value Line Dividend Index Fund
The First Trust Value Line Dividend Index Fund is an equity ETF that tracks the Value Line Dividend Index, providing investors with exposure to a diversified portfolio of dividend-paying stocks in the US market. The fund's unique approach combines the benefits of active and passive management, using a quant-based methodology to select its holdings. With a focus on high dividend yield, the fund offers a balanced exposure to various sectors and market capitalizations, making it suitable for investors seeking income generation and long-term growth.
| BUFR | FVD | |
|---|---|---|
| Fund Name | FT Vest Laddered Buffer ETF | First Trust Value Line Dividend Index Fund |
| Fund Provider | First Trust | First Trust |
| Index | Active (No Index) | Value Line Dividend (TR) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 1.05% | 0.60% |
| Inception Date | 2020-08-10 | 2006-12-18 |
| Number Of Holdings | 13 | 205 |
| Currency | USD | USD |
| Region | United States | United States |
| Market Cap | Large-Cap | Blend |
| 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.