SETE vs. ET0Y - ETF Comparison
SETE - AMINA Ethereum ETP
The AMINA Ethereum ETP is an exchange-traded product that tracks the value of Ethereum, a popular cryptocurrency. It has a total expense ratio of 0.75% per annum and uses a collateralized debt obligation backed by physical holdings of Ethereum to replicate the performance of the underlying index. The fund is domiciled in Switzerland and has a small asset base of approximately $14 million.
ET0Y - Global X Ethereum ETP
The Global X Ethereum ETP is an exchange-traded product that tracks the value of Ethereum, a popular cryptocurrency. It offers a cost-effective way to invest in Ethereum, with a low total expense ratio. The fund is domiciled in Jersey and was launched in March 2022.
| SETE | ET0Y | |
|---|---|---|
| Fund Name | AMINA Ethereum ETP | Global X Ethereum ETP |
| Fund Provider | AMINA Bank | Global X |
| Index | Ethereum | Ethereum |
| Asset Class | Cryptocurrency | Cryptocurrency |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.75% | nan% |
| Inception Date | 2021-01-20 | 2022-03-08 |
| Currency | USD | USD |
| Distribution Policy | Accumulating | Accumulating |
| Investment Style | Long-only | Long-only |
| Sector Detail | Cryptocurrencies | 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.