PortfolioMetrics

AIEQ vs. THNQ - ETF Comparison

AIEQ - Amplify AI Powered Equity ETF

The Amplify AI Powered Equity ETF is an exchange-traded fund that utilizes artificial intelligence to select a diversified portfolio of US equities, aiming to provide long-term capital appreciation. The fund's proprietary weighting scheme and fundamental strategy focus on the total US market, with a growth investment style.

THNQ - ROBO Global Artificial Intelligence ETF

The ROBO Global Artificial Intelligence ETF is an exchange-traded fund that tracks the ROBO Global Artificial Intelligence Index, providing investors with exposure to companies involved in the development and application of artificial intelligence. The fund holds a diversified portfolio of 59 stocks, with a focus on global robotics and AI, and follows a fundamental weighting scheme.

AIEQTHNQ
Fund NameAmplify AI Powered Equity ETFROBO Global Artificial Intelligence ETF
Fund ProviderAmplify InvestmentsExchange Traded Concepts
IndexAI Powered Equity IndexROBO Global Artificial Intelligence Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.75%0.68%
Inception Date2017-10-172020-05-11
Number Of Holdings11759
CurrencyUSDUSD
RegionUnited StatesDeveloped Markets
Investment StyleGrowthGrowth
Market CapBlendBlend
SectorTechnologyTechnology
Sector DetailArtificial IntelligenceArtificial Intelligence
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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