EMHF vs. USUE - 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.
USUE - UBS ETF (IE) MSCI USA Select Factor Mix UCITS ETF (USD) A-acc
The UBS ETF (IE) MSCI USA Select Factor Mix UCITS ETF (USD) A-acc is an equity ETF that tracks the MSCI USA Select Factor Mix index, which is a multi-factor strategy that combines large-, mid-, and small-cap stocks across the US equity markets. The ETF uses a sampling technique to replicate the performance of the underlying index, with a focus on factors such as value, quality, momentum, volatility, size, and yield. The ETF has a low expense ratio of 0.25% and distributes dividends on an accumulating basis.
| EMHF | USUE | |
|---|---|---|
| Fund Name | Morgan Stanley Scientific Beta HFE EM Equity 6F EW UCITS ETF | UBS ETF (IE) MSCI USA Select Factor Mix UCITS ETF (USD) A-acc |
| Fund Provider | Morgan Stanley | UBS |
| Index | Scientific Beta Emerging ex-India HFI Multi-Beta Multi-Strategy Six-Factor EW Market Beta Adjusted | MSCI USA Select Factor Mix |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.3% | 0.25% |
| Inception Date | 2017-12-06 | 2018-10-16 |
| Currency | EUR | USD |
| Distribution Policy | Accumulating | Accumulating |
| Region | Emerging Markets | United States |
| Investment Style | Multi-Factor | Multi-Factor |
| Leveraged | Non-leveraged | Non-leveraged |
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Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
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
End of Year Returns Table
End of Year Returns
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
Drawdowns Table
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.