PortfolioMetrics

VBTC vs. ETHA - ETF Comparison

VBTC - VanEck Bitcoin ETN

The VanEck Bitcoin ETN is an exchange-traded note that tracks the value of Bitcoin, providing investors with exposure to the cryptocurrency market. The fund has a total expense ratio of 1.00% p.a. and is domiciled in Liechtenstein.

ETHA - 21Shares Ethereum Staking ETP

The 21Shares Ethereum Staking ETP is an exchange-traded product that tracks the value of Ethereum, a popular cryptocurrency. With a total expense ratio of 1.49%, the fund provides investors with a cost-effective way to gain exposure to the cryptocurrency market. The fund is domiciled in Switzerland and has a large asset base of 535 million euros, making it one of the largest ETNs in the market.

VBTCETHA
Fund NameVanEck Bitcoin ETN21Shares Ethereum Staking ETP
Fund ProviderVanEck21Shares
IndexBitcoinEthereum
Asset ClassCryptocurrencyCryptocurrency
ListingEU-listedEU-listed
Expense Ratio1.0%1.49%
Inception Date2020-11-192019-03-05
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
Sector DetailCryptocurrenciesCryptocurrencies
LeveragedNon-leveragedNon-leveraged
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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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Key Metrics

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Performance Metrics

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Risk Metrics

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Detailed Returns

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Benchmark Comparison

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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

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End of Year Returns Table

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End of Year Returns

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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

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Drawdowns Table

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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.

Monte Carlo Metrics

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Simulated Portfolio Prices

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