PortfolioMetrics

FEMP vs. FUSR - ETF Comparison

FEMP - Fidelity Sustainable USD EM Bond UCITS ETF GBP Hedged

The Fidelity Sustainable USD EM Bond UCITS ETF GBP Hedged is an actively managed exchange-traded fund that invests in US dollar-denominated, ESG-screened bonds issued by governments and government-related entities in emerging markets, with a focus on social and environmental responsibility. The fund is currency hedged to British Pound (GBP) and has a total expense ratio of 0.50% per annum.

FUSR - Fidelity Sustainable Research Enhanced US Equity UCITS ETF Acc

The Fidelity Sustainable Research Enhanced US Equity UCITS ETF Acc is an actively managed equity ETF that invests in US stocks, selected according to sustainability and fundamental criteria, with a focus on social and environmental factors.

FEMPFUSR
Fund NameFidelity Sustainable USD EM Bond UCITS ETF GBP HedgedFidelity Sustainable Research Enhanced US Equity UCITS ETF Acc
Fund ProviderFidelityFidelity
IndexFidelity Sustainable USD EM Bond (GBP Hedged)Fidelity Sustainable Research Enhanced US Equity
Asset ClassBondsEquity
ListingEU-listedEU-listed
Expense Ratio0.5%0.2%
Inception Date2021-03-252020-05-21
Number Of Holdings85215
CurrencyGBPUSD
Distribution PolicyAccumulatingAccumulating
RegionEmerging MarketsUnited States
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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