PortfolioMetrics

SPYY vs. ZPRR - ETF Comparison

SPYY - SPDR MSCI ACWI UCITS ETF

The SPDR MSCI ACWI UCITS ETF is a global equity fund that tracks the MSCI All Country World Index, providing exposure to large- and mid-cap stocks from 23 developed and 24 emerging markets worldwide. The fund uses a sampling technique to replicate the performance of the underlying index and has a low expense ratio of 0.4%. The ETF is accumulating, meaning dividends are reinvested in the fund, and has a large asset base of over 2.7 billion euros.

ZPRR - SPDR Russell 2000 US Small Cap UCITS ETF

The SPDR Russell 2000 US Small Cap UCITS ETF is an equity fund that tracks the Russell 2000 index, providing exposure to 2000 US small-cap companies. The fund uses a sampling technique to replicate the performance of the underlying index and accumulates dividends to reinvest in the ETF.

SPYYZPRR
Fund NameSPDR MSCI ACWI UCITS ETFSPDR Russell 2000 US Small Cap UCITS ETF
Fund ProviderState StreetState Street
IndexMSCI ACWIRussell 2000
Asset ClassEquityEquity
ListingEU-listedEU-listed
Expense Ratio0.4%0.3%
Inception Date2011-05-132014-06-30
Number Of Holdings23531776
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
RegionGlobalUnited States
Market CapBlendSmall-Cap
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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