GEM vs. GSIE - ETF Comparison
GEM - Goldman Sachs ActiveBeta Emerging Markets Equity ETF
The Goldman Sachs ActiveBeta Emerging Markets Equity ETF (GEM) provides diversified exposure to emerging market stocks, utilizing a multi-factor approach to identify companies with good value, strong momentum, high quality, and low volatility. This ETF offers a broad-based, total market investment strategy, with a blend of investment styles.
GSIE - Goldman Sachs ActiveBeta International Equity ETF
The Goldman Sachs ActiveBeta International Equity ETF is an exchange-traded fund that provides broad exposure to developed market stocks outside the United States, utilizing a multi-factor approach to identify stocks with good value, strong momentum, high quality, and low volatility.
| GEM | GSIE | |
|---|---|---|
| Fund Name | Goldman Sachs ActiveBeta Emerging Markets Equity ETF | Goldman Sachs ActiveBeta International Equity ETF |
| Fund Provider | Goldman Sachs | Goldman Sachs |
| Index | Stuttgart Goldman Sachs ActiveBeta EM Equity (USD) | Stuttgart Goldman Sachs ActiveBeta Intl.Equity (USD) |
| Asset Class | Equity | Equity |
| Listing | US-listed | US-listed |
| Expense Ratio | 0.45% | 0.25% |
| Inception Date | 2015-09-29 | 2015-11-06 |
| Number Of Holdings | 821 | 704 |
| Region | Emerging Markets | Developed Markets |
| Investment Style | Blend | Blend |
| Market Cap | Blend | Large-Cap |
| 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.