PortfolioMetrics

SPY4 vs. SYBD - ETF Comparison

SPY4 - SPDR S&P 400 US Mid Cap UCITS ETF

The SPDR S&P 400 US Mid Cap UCITS ETF is an equity fund that tracks the S&P MidCap 400 index, providing exposure to 400 mid-sized US companies. With a low expense ratio of 0.30% p.a., the fund uses a full replication strategy to replicate the performance of the underlying index. The ETF is a large fund with 1,778m Euro assets under management and has been domiciled in Ireland since its launch on 30 January 2012.

SYBD - SPDR Bloomberg 0-3 Year Euro Corporate Bond UCITS ETF

The SPDR Bloomberg 0-3 Year Euro Corporate Bond UCITS ETF is an exchange-traded fund that tracks the Bloomberg Euro Corporate Bond 0-3 index, providing investors with exposure to Euro-denominated corporate bonds with a time to maturity of 0-3 years and an investment-grade rating. The fund is designed to provide regular income through semi-annual distributions and has a low expense ratio of 0.2%.

SPY4SYBD
Fund NameSPDR S&P 400 US Mid Cap UCITS ETFSPDR Bloomberg 0-3 Year Euro Corporate Bond UCITS ETF
Fund ProviderState StreetState Street
IndexS&P MidCap 400Bloomberg Euro Corporate Bond 0-3
Asset ClassEquityBonds
ListingEU-listedEU-listed
Expense Ratio0.3%0.2%
Inception Date2012-01-302013-08-27
Number Of Holdings4021512
CurrencyUSDEUR
Distribution PolicyAccumulatingDistributing
RegionUnited StatesEurope
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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