PortfolioMetrics

GG9B vs. OD7C - ETF Comparison

GG9B - Gold Bullion Securities

The Gold Bullion Securities ETF tracks the spot price of gold in US Dollar, providing investors with a physical gold-backed collateralized debt obligation. With a low expense ratio of 0.4%, this ETF offers a cost-effective way to invest in precious metals.

OD7C - WisdomTree Copper

The WisdomTree Copper is an exchange-traded fund that tracks the Bloomberg Copper index, providing investors with exposure to the price of copper futures contracts. With a total expense ratio of 0.49% per annum, this fund offers a cost-effective way to access the industrial metals market.

GG9BOD7C
Fund NameGold Bullion SecuritiesWisdomTree Copper
Fund ProviderWisdomTreeWisdomTree
IndexGoldBloomberg Copper
Asset ClassCommodityCommodity
ListingEU-listedEU-listed
Expense Ratio0.4%0.49%
Inception Date2004-03-312006-09-27
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
RegionGlobalGlobal
SectorMaterialsMaterials
Sector DetailPrecious MetalsIndustrial Metals
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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