IUS2 vs. PRFD - ETF Comparison
IUS2 - iShares S&P U.S. Banks UCITS ETF USD (Acc)
The iShares S&P U.S. Banks UCITS ETF USD (Acc) is an equity ETF that tracks the S&P 900 Banks 7/4 Capped index, providing exposure to the US banking sector. With a low expense ratio of 0.35%, it is a cost-effective way to invest in the US financials sector.
PRFD - Invesco Preferred Shares UCITS ETF
The Invesco Preferred Shares UCITS ETF is an equity fund that tracks the BofA Merrill Lynch Diversified Core Plus Fixed Rate Preferred Securities index, providing exposure to fixed rate preferred securities issued in the USA and denominated in US-Dollar. The fund distributes dividends quarterly and has a total expense ratio of 0.50% p.a.
| IUS2 | PRFD | |
|---|---|---|
| Fund Name | iShares S&P U.S. Banks UCITS ETF USD (Acc) | Invesco Preferred Shares UCITS ETF |
| Fund Provider | BlackRock | Invesco |
| Index | S&P 900 Banks 7/4 Capped | BofA Merrill Lynch Diversified Core Plus Fixed Rate Preferred Securities |
| Asset Class | Equity | Equity |
| Listing | EU-listed | EU-listed |
| Expense Ratio | 0.35% | 0.5% |
| Inception Date | 2018-05-21 | 2017-09-28 |
| Number Of Holdings | 41 | 251 |
| Currency | USD | USD |
| Distribution Policy | Accumulating | Distributing |
| Region | United States | United States |
| Sector | Financials | Financials |
| Sector Detail | Banks | Banks |
| 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.