BRRR vs. ARKB - ETF Comparison
BRRR - Valkyrie Bitcoin Fund
The Valkyrie Bitcoin Fund is an exchange-traded fund that provides investors with exposure to the price of Bitcoin, allowing them to gain from potential price increases while hedging against the US dollar.
ARKB - ARK 21Shares Bitcoin ETF
The ARK 21Shares Bitcoin ETF is an exchange-traded fund that tracks the performance of Bitcoin, providing investors with exposure to the cryptocurrency market. The fund is designed to offer a convenient and cost-effective way to invest in Bitcoin, with a focus on long-term growth.
| BRRR | ARKB | |
|---|---|---|
| Fund Name | Valkyrie Bitcoin Fund | ARK 21Shares Bitcoin ETF |
| Fund Provider | Coinshares International Ltd. | ARK Invest |
| Index | Bitcoin Reference Rate (CME CF) | Bitcoin Reference Rate (CME CF) |
| Asset Class | Cryptocurrency | Cryptocurrency |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.25% | 0.21% |
| Inception Date | 2024-01-10 | 2024-01-11 |
| Number Of Holdings | 1 | 1 |
| Currency | Cryptocurrency | Cryptocurrency |
| Region | Global | Global |
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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.