PortfolioMetrics

AT1D vs. ZPRC - ETF Comparison

AT1D - Invesco AT1 Capital Bond UCITS ETF Dist

The Invesco AT1 Capital Bond UCITS ETF Dist is an exchange-traded fund that tracks the iBoxx USD Contingent Convertible Liquid Developed Market AT1 index, providing investors with exposure to a diversified portfolio of USD-denominated contingent convertible bonds issued by developed-country banks worldwide.

ZPRC - SPDR Refinitiv Global Convertible Bond UCITS ETF

The SPDR Refinitiv Global Convertible Bond UCITS ETF is a bond-focused exchange-traded fund that tracks the Refinitiv Qualified Global Convertible index, providing investors with exposure to the global convertible bond market. The fund employs a sampling technique to replicate the performance of the underlying index and distributes interest income semi-annually.

AT1DZPRC
Fund NameInvesco AT1 Capital Bond UCITS ETF DistSPDR Refinitiv Global Convertible Bond UCITS ETF
Fund ProviderInvescoState Street
IndexiBoxx® USD Contingent Convertible Liquid Developed Market AT1Refinitiv Qualified Global Convertible
Asset ClassBondsBonds
ListingEU-listedEU-listed
Expense Ratio0.39%0.5%
Inception Date2018-09-242014-10-14
Number Of Holdings80342
CurrencyUSDUSD
Distribution PolicyDistributingDistributing
RegionDeveloped MarketsGlobal
SectorFinancialsFinancials
Sector DetailBanksConvertible Bonds
Bond TypeConvertible BondsConvertible Bonds
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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