BLOK vs. IBLC - ETF Comparison
BLOK - Amplify Transformational Data Sharing ETF
The Amplify Transformational Data Sharing ETF is an actively managed fund that invests in companies involved in the development and utilization of blockchain technology, providing exposure to a niche segment of the technology sector. The fund's portfolio comprises a mix of well-known US and international stocks, with a multi-cap approach.
IBLC - iShares Blockchain and Tech ETF
The iShares Blockchain and Tech ETF is an exchange-traded fund that tracks the ICE FactSet Global Blockchain Technologies Index, providing investors with exposure to companies involved in the development and application of blockchain technology globally.
| BLOK | IBLC | |
|---|---|---|
| Fund Name | Amplify Transformational Data Sharing ETF | iShares Blockchain and Tech ETF |
| Fund Provider | Amplify Investments | BlackRock |
| Index | Active (No Index) | ICE FactSet Global Blockchain Technologies Index |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.76% | 0.47% |
| Inception Date | 2018-01-16 | 2022-04-25 |
| Number Of Holdings | 55 | 35 |
| Region | Developed Markets | Global |
| Investment Style | Blend | Blend |
| Market Cap | Blend | Blend |
| Sector | Technology | Technology |
| Sector Detail | Blockchain | Blockchain |
| 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.