PortfolioMetrics

NGXS vs. 4RUC - ETF Comparison

NGXS - WisdomTree Natural Gas 3x Daily Short

The WisdomTree Natural Gas 3x Daily Short is an exchange-traded commodity (ETC) that seeks to provide investors with a three times leveraged inverse exposure to the natural gas commodity futures market. The ETC tracks the Solactive Natural Gas Commodity Futures SL Short Leverage (-3x) index, which is designed to provide a short leveraged exposure to the natural gas market.

4RUC - WisdomTree Natural Gas 2x Daily Leveraged

The WisdomTree Natural Gas 2x Daily Leveraged ETF tracks the Bloomberg Natural Gas SL Leverage (2x) index, providing two times leveraged exposure to natural gas prices. It uses a synthetic replication method with a swap and has a total expense ratio of 0.98% p.a..

NGXS4RUC
Fund NameWisdomTree Natural Gas 3x Daily ShortWisdomTree Natural Gas 2x Daily Leveraged
Fund ProviderWisdomTreeWisdomTree
IndexSolactive Natural Gas Commodity Futures SL Short Leverage (-3x)Bloomberg Natural Gas SL Leverage (2x)
Asset ClassCommodityCommodity
ListingEU-listedEU-listed
Expense Ratio0.99%0.98%
Inception Date2012-12-202008-03-11
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
SectorEnergyEnergy
Sector DetailNatural GasNatural Gas
LeveragedLeveragedLeveraged
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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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