GACB vs. GACA - ETF Comparison
GACB - Goldman Sachs ActiveBeta Emerging Markets Equity UCITS ETF CLASS USD (Acc.)
The Goldman Sachs ActiveBeta Emerging Markets Equity UCITS ETF CLASS USD (Acc.) is an exchange-traded fund that tracks the Goldman Sachs ActiveBeta Emerging Markets Equity index, focusing on companies from emerging markets. The fund employs a multi-factor strategy, considering value, momentum, quality, and low volatility. With an expense ratio of 0.49%, the ETF aims to provide long-term growth by replicating the performance of the underlying index through full replication.
GACA - Goldman Sachs ActiveBeta US Large Cap Equity UCITS ETF CLASS USD (Acc.)
The Goldman Sachs ActiveBeta US Large Cap Equity UCITS ETF CLASS USD (Acc.) is an exchange-traded fund that tracks the Goldman Sachs ActiveBeta US Large Cap Equity index, focusing on large-cap US equities with a multi-factor strategy that incorporates value, momentum, quality, and low volatility. The fund aims to provide long-term capital growth and income, with a competitive expense ratio of 0.14% p.a.
| GACB | GACA | |
|---|---|---|
| Fund Name | Goldman Sachs ActiveBeta Emerging Markets Equity UCITS ETF CLASS USD (Acc.) | Goldman Sachs ActiveBeta US Large Cap Equity UCITS ETF CLASS USD (Acc.) |
| Fund Provider | Goldman Sachs | Goldman Sachs |
| Index | Goldman Sachs ActiveBeta Emerging Markets Equity | Goldman Sachs ActiveBeta US Large Cap Equity |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.49% | 0.14% |
| Inception Date | 2019-11-04 | 2019-09-23 |
| Number Of Holdings | 750 | 442 |
| Currency | USD | USD |
| Distribution Policy | Accumulating | Accumulating |
| Region | Emerging Markets | United States |
| Investment Style | Blend | Blend |
| 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.