PortfolioMetrics

PDBC vs. GSG - ETF Comparison

PDBC - Invesco Optimum Yield Diversified Commodity Strategy No K-1 ETF

The Invesco Optimum Yield Diversified Commodity Strategy No K-1 ETF is an actively managed exchange-traded fund that provides diversified exposure to commodity futures, aiming to avoid negative roll yield and offering a tax-efficient solution without the need for a K-1 form.

GSG - iShares S&P GSCI Commodity-Indexed Trust

The iShares S&P GSCI Commodity-Indexed Trust ETF provides broad commodity exposure, with a heavy tilt towards energy resources, including crude oil, natural gas, and other energy commodities. It offers a unique blend of energy and commodity exposure, making it a distinct option for investors seeking to diversify their portfolios.

PDBCGSG
Fund NameInvesco Optimum Yield Diversified Commodity Strategy No K-1 ETFiShares S&P GSCI Commodity-Indexed Trust
Fund ProviderInvescoBlackRock
IndexActive (No Index)S&P GSCI Total Return Index
Asset ClassCommodityCommodity
ListingUS-listedUS-listed
Expense Ratio0.59%0.75%
Inception Date2014-11-072006-07-10
Number Of Holdings51
CurrencyUSDUSD
RegionGlobalGlobal
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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