PortfolioMetrics

PRF vs. BKLN - ETF Comparison

PRF - Invesco FTSE RAFI US 1000 ETF

The Invesco FTSE RAFI US 1000 ETF provides exposure to the largest US equities, using a fundamental weighting methodology based on book value, cash flow, sales, and dividends. This alternative approach breaks the link between stock price and security allocation, offering a unique risk/return profile compared to traditional market capitalization-weighted indices. The fund features a broad-based portfolio with significant allocations to financials and industrials/energy sectors.

BKLN - Invesco Senior Loan ETF

The Invesco Senior Loan ETF (BKLN) provides exposure to the high-yield bond market through investments in U.S. leveraged loans, offering a pure play on the domestic economy. The fund aims to generate strong returns for investors willing to take on the risks associated with high-yield bonds, which come with higher default risks. By investing in this product, investors can diversify their portfolio with a focus on the U.S. high-yield bond market.

PRFBKLN
Fund NameInvesco FTSE RAFI US 1000 ETFInvesco Senior Loan ETF
Fund ProviderInvescoInvesco
IndexFTSE RAFI US 1000 IndexS&P/LSTA U.S. Leveraged Loan 100 Index
Asset ClassEquityBonds
ListingUS-listedUS-listed
Expense Ratio0.39%0.65%
Inception Date2005-12-192011-03-03
Number Of Holdings1009132
CurrencyUSDUSD
RegionUnited StatesUnited States
SectorBlendFinancials
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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