IDAT vs. FCLD - ETF Comparison
IDAT - iShares Future Cloud 5G and Tech ETF
The iShares Future Cloud 5G and Tech ETF is an exchange-traded fund that tracks the Morningstar Global Digital Infrastructure & Connectivity Index, providing investors with exposure to companies involved in the development and deployment of 5G and cloud computing technologies.
FCLD - Fidelity Cloud Computing ETF
The Fidelity Cloud Computing ETF is an exchange-traded fund that tracks the Fidelity Cloud Computing Index, providing investors with exposure to companies involved in the development and deployment of cloud computing technologies. The fund holds a diversified portfolio of 52 stocks, with a focus on the global software and services sector.
| IDAT | FCLD | |
|---|---|---|
| Fund Name | iShares Future Cloud 5G and Tech ETF | Fidelity Cloud Computing ETF |
| Fund Provider | BlackRock | Fidelity |
| Index | Morningstar Global Digital Infrastructure & Connectivity Index | Fidelity Cloud Computing Index - Benchmark TR Net |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.47% | 0.39% |
| Inception Date | 2021-06-08 | 2021-10-05 |
| Number Of Holdings | 49 | 52 |
| Region | Global | Global |
| Sector | Technology | Technology |
| Sector Detail | Cloud Computing | Cloud Computing |
| 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.