PortfolioMetrics

AMJB vs. DIVI - ETF Comparison

AMJB - Alerian MLP Index ETNs due January 28, 2044

The Alerian MLP Index ETNs due January 28, 2044 is an exchange-traded note that tracks the Alerian MLP Index, providing exposure to the energy sector through master limited partnerships (MLPs) in North America.

DIVI - Franklin International Core Dividend Tilt Index ETF

The Franklin International Core Dividend Tilt Index ETF is an actively managed fund that invests in a diversified portfolio of high-dividend yielding stocks from developed markets outside of North America, aiming to provide income and long-term capital growth.

AMJBDIVI
Fund NameAlerian MLP Index ETNs due January 28, 2044Franklin International Core Dividend Tilt Index ETF
Fund ProviderJPMorgan ChaseFranklin Templeton
IndexAlerian MLP IndexActive (No Index)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.85%0.09%
Inception Date2024-01-262016-06-01
CurrencyUSDUSD
RegionUnited StatesDeveloped Markets
Investment StyleDividendDividend
Market CapBlendBlend
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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