EMHF vs. PHEF - 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.
PHEF - Morgan Stanley Scientific Beta HFE Pacific ex-Jap Equity 6F EW UCITS ETF
The Morgan Stanley Scientific Beta HFE Pacific ex-Jap Equity 6F EW UCITS ETF is an equity fund that tracks the Scientific Beta Developed Asia-Pacific ex-Japan HFI Multi-Beta Multi-Strategy Six-Factor Equal Weight Market Beta Adjusted index. The fund focuses on equities from the Pacific region (excluding Japan) and uses a multi-factor strategy to select securities based on six style factors: Size, Value, Momentum, Low Volatility, High Profitability, and Low Investment. The fund has an expense ratio of 0.3% and is domiciled in Ireland.
| EMHF | PHEF | |
|---|---|---|
| Fund Name | Morgan Stanley Scientific Beta HFE EM Equity 6F EW UCITS ETF | Morgan Stanley Scientific Beta HFE Pacific ex-Jap Equity 6F EW UCITS ETF |
| Fund Provider | Morgan Stanley | Morgan Stanley |
| Index | Scientific Beta Emerging ex-India HFI Multi-Beta Multi-Strategy Six-Factor EW Market Beta Adjusted | Scientific Beta Developed Asia-Pacific ex-Japan HFI Multi-Beta Multi-Strategy Six-Factor Equal Weight Market Beta Adjusted |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.3% | 0.3% |
| Inception Date | 2017-12-06 | 2017-12-08 |
| Currency | EUR | EUR |
| Distribution Policy | Accumulating | Accumulating |
| Region | Emerging Markets | Asia-Pacific |
| 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.