PortfolioMetrics

VGIT vs. SHY - ETF Comparison

VGIT - Vanguard Intermediate-Term Treasury ETF

The Vanguard Intermediate-Term Treasury ETF is a fixed income fund that tracks the Bloomberg US Treasury (3-10 Y) index, providing exposure to intermediate-term government bonds with maturities between three to ten years. It offers a moderate interest rate exposure and can be used to tilt exposure towards Treasuries without a bias towards either end of the maturity spectrum. The fund is suitable for investors seeking a low-cost, vanilla investment grade bond exposure.

SHY - iShares 1-3 Year Treasury Bond ETF

The iShares 1-3 Year Treasury Bond ETF is a fixed income fund that provides exposure to short-term US Treasury bonds with maturities between 1-3 years. It offers a low-risk investment option with a relatively low expected return, making it a suitable safe haven for investors during volatile markets.

VGITSHY
Fund NameVanguard Intermediate-Term Treasury ETFiShares 1-3 Year Treasury Bond ETF
Fund ProviderVanguardBlackRock
IndexBloomberg US Treasury (3-10 Y)ICE BofA US Treasury Bond (1-3 Y)
Asset ClassBondsBonds
ListingUS-listedUS-listed
Expense Ratio0.04%0.15%
Inception Date2009-11-192002-07-22
Number Of Holdings109110
CurrencyUSDUSD
RegionUnited StatesUnited States
Bond TypeGovernment BondsGovernment Bonds
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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