PortfolioMetrics

FEBB vs. JREM - ETF Comparison

FEBB - First Trust Vest U.S. Equity Moderate Buffer UCITS ETF - February Class A Accumulation

The First Trust Vest U.S. Equity Moderate Buffer UCITS ETF - February Class A Accumulation is an actively managed ETF that tracks the performance of the S&P 500 while using put options to buffer investors against the first 15% of losses each year. The ETF has a total expense ratio of 0.85% and is domiciled in Ireland.

JREM - JPMorgan Global Emerging Markets Research Enhanced Index Equity (ESG) UCITS ETF USD (acc)

The JPMorgan Global Emerging Markets Research Enhanced Index Equity (ESG) UCITS ETF USD (acc) is an actively managed ETF that tracks the JP Morgan Global Emerging Markets Research Enhanced Index Equity (ESG) index, investing in emerging market stocks with a focus on environmental, social, and governance (ESG) considerations.

FEBBJREM
Fund NameFirst Trust Vest U.S. Equity Moderate Buffer UCITS ETF - February Class A AccumulationJPMorgan Global Emerging Markets Research Enhanced Index Equity (ESG) UCITS ETF USD (acc)
Fund ProviderFirst TrustJPMorgan Chase
IndexFirst Trust Vest U.S. Equity Moderate BufferJP Morgan Global Emerging Markets Research Enhanced Index Equity (ESG)
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.85%0.3%
Inception Date2024-02-192018-12-06
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
RegionUnited StatesEmerging Markets
Investment StyleActiveActive
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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