PortfolioMetrics

CNBS vs. NANR - ETF Comparison

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.

NANR - SPDR S&P North American Natural Resources ETF

The SPDR S&P North American Natural Resources ETF tracks the S&P BMI North American Natural Resources Index, providing exposure to a diversified portfolio of large-cap companies in the natural resources sector in North America.

CNBSNANR
Fund NameAmplify Seymour Cannabis ETFSPDR S&P North American Natural Resources ETF
Fund ProviderAmplify InvestmentsState Street
IndexActive (No Index)S&P BMI North American Natural Resources Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.77%0.35%
Inception Date2019-07-232015-12-15
Number Of Holdings2534
CurrencyUSDUSD
RegionNorth AmericaNorth America
Investment StyleBlendBlend
Market CapSmall-CapLarge-Cap
SectorHealthcareEnergy
Sector DetailCannabisNatural Resources
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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