PortfolioMetrics

GUSA vs. GIGB - ETF Comparison

GUSA - Goldman Sachs MarketBeta U.S. 1000 Equity ETF

The Goldman Sachs MarketBeta U.S. 1000 Equity ETF tracks the performance of the Solactive GBS United States 1000 Index, providing broad-based exposure to large-cap equities in the United States.

GIGB - Goldman Sachs Access Investment Grade Corporate Bond ETF

The Goldman Sachs Access Investment Grade Corporate Bond ETF is a fixed income fund that provides exposure to a diversified portfolio of investment-grade corporate bonds in the United States. The fund aims to track the FTSE Goldman Sachs Investment Grade Corporate Bond Index, which eliminates issuers with deteriorating fundamentals. With a competitive expense ratio, the fund offers a core component for long-term, buy-and-hold portfolios.

GUSAGIGB
Fund NameGoldman Sachs MarketBeta U.S. 1000 Equity ETFGoldman Sachs Access Investment Grade Corporate Bond ETF
Fund ProviderGoldman SachsGoldman Sachs
IndexSolactive GBS United States 1000 Index - Benchmark TR GrossFTSE Goldman Sachs Investment Grade Corporate Bond Index
Asset ClassEquityBonds
ListingUS-listedUS-listed
Expense Ratio0.11%0.14%
Inception Date2022-04-052017-06-06
Number Of Holdings10111676
CurrencyUSDUSD
RegionUnited StatesUnited States
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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