PortfolioMetrics

CWB vs. QCON - ETF Comparison

CWB - SPDR Bloomberg Convertible Securities ETF

The SPDR Bloomberg Convertible Securities ETF provides diversified exposure to the US convertible bond market, offering investors the potential to benefit from equity appreciation while earning income from bond holdings. The fund's unique approach allows investors to tap into the growth potential of underlying stocks while maintaining a fixed income component.

QCON - American Century Quality Convertible Securities ETF

The American Century Quality Convertible Securities ETF is an actively managed fixed income fund that invests in a diversified portfolio of convertible bonds, focusing on broad credit and maturities. The fund aims to provide income and capital appreciation by investing in high-quality convertible securities.

CWBQCON
Fund NameSPDR Bloomberg Convertible Securities ETFAmerican Century Quality Convertible Securities ETF
Fund ProviderState StreetAmerican Century Investments
IndexBloomberg US Convertibles Liquid BondActive (No Index)
Asset ClassBondsBonds
ListingUS-listedUS-listed
Expense Ratio0.40%0.32%
Inception Date2009-04-142021-02-16
Number Of Holdings274106
CurrencyUSDUSD
RegionUnited StatesUnited States
Investment StyleBlendActive
SectorFinancialsFinancials
Sector DetailConvertible BondsConvertible 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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