SPY5 vs. SPYY - ETF Comparison
SPY5 - SPDR S&P 500 UCITS ETF
The SPDR S&P 500 UCITS ETF is a low-cost, large-cap equity fund that tracks the S&P 500 index, providing exposure to the 500 largest US stocks. With a total expense ratio of 0.03% p.a., it is an attractive option for investors seeking to replicate the performance of the US market.
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.
| SPY5 | SPYY | |
|---|---|---|
| Fund Name | SPDR S&P 500 UCITS ETF | SPDR MSCI ACWI UCITS ETF |
| Fund Provider | State Street | State Street |
| Index | S&P 500 | MSCI ACWI |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.03% | 0.4% |
| Inception Date | 2012-03-19 | 2011-05-13 |
| Number Of Holdings | 503 | 2353 |
| Currency | USD | USD |
| Distribution Policy | Distributing | Accumulating |
| Region | United States | Global |
| Investment Style | Blend | Blend |
| Market Cap | Large-Cap | Blend |
| Leveraged | Non-leveraged | Non-leveraged |
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Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
Key Metrics
Performance Metrics
Risk Metrics
Detailed Returns
Benchmark Comparison
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
End of Year Returns Table
End of Year Returns
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
Drawdowns Table
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.