PortfolioMetrics

VMIG vs. XMCX - ETF Comparison

VMIG - Vanguard FTSE 250 UCITS ETF (GBP) Accumulating

The Vanguard FTSE 250 UCITS ETF (GBP) Accumulating tracks the FTSE 250 index, providing exposure to 250 of the largest mid-cap companies based in the United Kingdom, excluding those in the FTSE 100. With a low expense ratio of 0.10% p.a., this ETF offers a cost-effective way to invest in the UK mid-cap market.

XMCX - Xtrackers FTSE 250 UCITS ETF 1D

The Xtrackers FTSE 250 UCITS ETF 1D is an equity exchange-traded fund that tracks the FTSE 250 index, providing exposure to 250 mid-cap companies based in the United Kingdom. The fund aims to replicate the performance of the underlying index through full replication, with a competitive total expense ratio of 0.15% per annum. The ETF distributes dividends annually and has a small asset base of 36 million euros, making it a suitable option for investors seeking targeted exposure to the UK mid-cap market.

VMIGXMCX
Fund NameVanguard FTSE 250 UCITS ETF (GBP) AccumulatingXtrackers FTSE 250 UCITS ETF 1D
Fund ProviderVanguardDeutsche Bank
IndexFTSE 250FTSE 250
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.1%0.15%
Inception Date2019-05-142007-06-15
Number Of Holdings251250
CurrencyGBPGBP
Distribution PolicyAccumulatingDistributing
RegionUnited KingdomUnited Kingdom
Market CapMid-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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