PortfolioMetrics

EMHF vs. IBCZ - ETF Comparison

EMHF - Morgan Stanley Scientific Beta HFE EM Equity 6F EW UCITS ETF

The Morgan Stanley Scientific Beta HFE EM Equity 6F EW UCITS ETF is an emerging markets equity fund that tracks the Scientific Beta Emerging ex-India HFI Multi-Beta Multi-Strategy Six-Factor EW Market Beta Adjusted index. The fund uses a multi-factor strategy to select stocks based on six style factors: Size, Value, Momentum, Low Volatility, High Profitability, and Low Investment. The ETF is accumulating and has a total expense ratio of 0.30% p.a.

IBCZ - iShares Edge MSCI World Multifactor UCITS ETF USD (Acc)

The iShares Edge MSCI World Multifactor UCITS ETF USD (Acc) is an equity ETF that tracks the MSCI World Diversified Multiple-Factor index, investing in developed equity markets globally with a multi-factor strategy. The fund's investment approach is based on four style factors: Value, Momentum, Quality, and Small Size.

EMHFIBCZ
Fund NameMorgan Stanley Scientific Beta HFE EM Equity 6F EW UCITS ETFiShares Edge MSCI World Multifactor UCITS ETF USD (Acc)
Fund ProviderMorgan StanleyBlackRock
IndexScientific Beta Emerging ex-India HFI Multi-Beta Multi-Strategy Six-Factor EW Market Beta AdjustedMSCI World Diversified Multiple-Factor
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.3%0.5%
Inception Date2017-12-062015-09-04
CurrencyEURUSD
Distribution PolicyAccumulatingAccumulating
RegionEmerging MarketsGlobal
Investment StyleMulti-FactorMulti-Factor
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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