NJUL vs. QQQM - ETF Comparison
NJUL - Innovator Growth-100 Power Buffer ETF - July
The Innovator Growth-100 Power Buffer ETF - July is an equity fund that tracks the Nasdaq 100 index, providing investors with large-cap exposure to the US market. The fund employs a buy-write strategy, aiming to generate returns through a combination of capital appreciation and option premiums. With a fixed weighting scheme, the fund offers a broad-based approach to investing in large-cap US equities.
QQQM - Invesco NASDAQ 100 ETF
The Invesco NASDAQ 100 ETF tracks the top 100 largest non-financial companies listed on the Nasdaq, providing investors with exposure to large-cap growth equities in the United States. The fund is designed for buy-and-hold investors, offering a lower management fee and smaller share price compared to its counterpart, the QQQ Trust.
| NJUL | QQQM | |
|---|---|---|
| Fund Name | Innovator Growth-100 Power Buffer ETF - July | Invesco NASDAQ 100 ETF |
| Fund Provider | Innovator | Invesco |
| Index | Nasdaq 100 | Nasdaq 100 |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.79% | 0.15% |
| Inception Date | 2020-07-01 | 2020-10-13 |
| Number Of Holdings | 1 | 104 |
| Currency | USD | USD |
| Region | United States | United States |
| Investment Style | Growth | Blend |
| Market Cap | Large-Cap | Large-Cap |
| Sector | Technology | Technology |
| 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.