PortfolioMetrics

GACB vs. GSXG - 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.

GSXG - Goldman Sachs Global Green Bond UCITS ETF EUR Hedged (Dist)

The Goldman Sachs Global Green Bond UCITS ETF EUR Hedged (Dist) is an environmentally focused bond ETF that tracks the Solactive Global Green Bond Select (EUR Hedged) index, providing investors with exposure to investment-grade green bonds from around the world, hedged to the Euro currency.

GACBGSXG
Fund NameGoldman Sachs ActiveBeta Emerging Markets Equity UCITS ETF CLASS USD (Acc.)Goldman Sachs Global Green Bond UCITS ETF EUR Hedged (Dist)
Fund ProviderGoldman SachsGoldman Sachs
IndexGoldman Sachs ActiveBeta Emerging Markets EquitySolactive Global Green Bond Select (EUR Hedged)
Asset ClassEquityBonds
ListingEU-listedEU-listed
Expense Ratio0.49%0.22%
Inception Date2019-11-042024-02-13
CurrencyUSDEUR
Distribution PolicyAccumulatingDistributing
RegionEmerging MarketsGlobal
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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