PortfolioMetrics

VUKG vs. 2B7R - ETF Comparison

VUKG - Vanguard FTSE 100 UCITS ETF (GBP) Accumulating

The Vanguard FTSE 100 UCITS ETF (GBP) Accumulating is an exchange-traded fund that tracks the FTSE 100 index, which comprises the 100 largest UK stocks. The fund aims to provide long-term capital growth by replicating the performance of the underlying index through full replication. It has a low expense ratio of 0.09% and distributes dividends by accumulating and reinvesting them in the fund.

2B7R - iShares FTSE 250 UCITS ETF

The iShares FTSE 250 UCITS ETF is an equity fund that tracks the FTSE 250 index, comprising 250 mid-cap companies based in the United Kingdom, excluding those in the FTSE 100. The fund employs a sampling technique to replicate the performance of the underlying index and distributes dividends quarterly. With a total expense ratio of 0.40% p.a., the fund is a cost-effective way to gain exposure to the UK mid-cap market.

VUKG2B7R
Fund NameVanguard FTSE 100 UCITS ETF (GBP) AccumulatingiShares FTSE 250 UCITS ETF
Fund ProviderVanguardBlackRock
IndexFTSE 100FTSE 250
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.09%0.4%
Inception Date2019-05-142004-03-26
Number Of Holdings104252
CurrencyGBPGBP
Distribution PolicyAccumulatingDistributing
RegionUnited KingdomUnited Kingdom
Market CapLarge-CapMid-Cap
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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