IQM vs. ARKQ - ETF Comparison
IQM - Franklin Intelligent Machines ETF
The Franklin Intelligent Machines ETF is an actively managed fund that invests in companies that are expected to benefit from advances in machine learning, robotics, and artificial intelligence. The fund aims to provide investors with exposure to the growing theme of intelligent machines and artificial intelligence, with a focus on companies that are driving innovation in this space.
ARKQ - ARK Autonomous Technology & Robotics ETF
The ARK Autonomous Technology & Robotics ETF is an actively managed fund that invests in companies involved in autonomous technology and robotics, with a focus on energy, automation, manufacturing, materials, and transportation. The fund is managed by ARK Invest, a firm known for its high-conviction bets and impressive track record of beating the market.
| IQM | ARKQ | |
|---|---|---|
| Fund Name | Franklin Intelligent Machines ETF | ARK Autonomous Technology & Robotics ETF |
| Fund Provider | Franklin Templeton | ARK Invest |
| Index | Active (No Index) | Active (No Index) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.50% | 0.75% |
| Inception Date | 2020-02-25 | 2014-09-30 |
| Number Of Holdings | 58 | 36 |
| Region | United States | Developed Markets |
| Investment Style | Blend | Growth |
| Market Cap | Blend | Blend |
| Sector | Technology | Technology |
| Sector Detail | AI & Robotics | AI & Robotics |
| 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.