PortfolioMetrics

IVRA vs. CNBS - ETF Comparison

IVRA - Invesco Real Assets ESG ETF

The Invesco Real Assets ESG ETF is an actively-managed fund that invests in real assets companies with a focus on environmental, social, and governance (ESG) criteria. The fund targets companies engaged in infrastructure, real estate, natural resources, and timber, and excludes those involved in tobacco, alcohol, weapons, and other controversial industries.

CNBS - Amplify Seymour Cannabis ETF

The Amplify Seymour Cannabis ETF is an actively managed fund that invests in small-cap companies involved in the cannabis industry, providing exposure to the rapidly growing global cannabis market.

IVRACNBS
Fund NameInvesco Real Assets ESG ETFAmplify Seymour Cannabis ETF
Fund ProviderInvescoAmplify Investments
IndexActive (No Index)Active (No Index)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.59%0.77%
Inception Date2020-12-222019-07-23
Number Of Holdings4225
RegionNorth AmericaNorth America
Investment StyleBlendBlend
Market CapBlendSmall-Cap
SectorReal EstateHealthcare
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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