PortfolioMetrics

21XJ vs. VBTC - ETF Comparison

21XJ - 21Shares Binance BNB ETP

The 21Shares Binance BNB ETP is an exchange-traded product that tracks the value of the Binance Coin (BNB), providing investors with exposure to the cryptocurrency market. With a total expense ratio of 2.50% p.a., this large ETN has approximately 650 million euros in assets under management and is domiciled in Switzerland.

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.

21XJVBTC
Fund Name21Shares Binance BNB ETPVanEck Bitcoin ETN
Fund Provider21SharesVanEck
IndexBinance Coin (BNB)Bitcoin
Asset ClassCryptocurrencyCryptocurrency
ListingEU-listedEU-listed
Expense Ratio2.5%1.0%
Inception Date2019-10-152020-11-19
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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