BALT vs. DJUN - ETF Comparison
BALT - Innovator Defined Wealth Shield ETF
The Innovator Defined Wealth Shield ETF is an equity fund that tracks the S&P 500 index, providing exposure to large-cap companies in the United States. The fund employs a buy-write strategy and has a fixed weighting scheme, aiming to generate income and manage risk. With a focus on broad-based large-cap equities, this ETF offers a diversified portfolio with a competitive expense ratio.
DJUN - FT Vest U.S. Equity Deep Buffer ETF - June
The FT Vest U.S. Equity Deep Buffer ETF - June is an exchange-traded fund that tracks the S&P 500 index, providing investors with broad exposure to large-cap equities in the United States. The fund employs a buy-write strategy, aiming to generate income through option premiums while maintaining a fixed weighting scheme.
| BALT | DJUN | |
|---|---|---|
| Fund Name | Innovator Defined Wealth Shield ETF | FT Vest U.S. Equity Deep Buffer ETF - June |
| Fund Provider | Innovator | First Trust |
| Index | S&P 500 | S&P 500 |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.69% | 0.85% |
| Inception Date | 2021-07-01 | 2020-06-19 |
| Number Of Holdings | 2 | 1 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Blend | Blend |
| Market Cap | Large-Cap | Large-Cap |
| Sector | Blend | Blend |
| 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.