PortfolioMetrics

SBND vs. XMPT - ETF Comparison

SBND - Columbia Short Duration Bond ETF

The Columbia Short Duration Bond ETF (SBND) is a leveraged bond fund that provides -3x short exposure to the broad-based Deutsche Bank Long U.S. Treasury Bond Futures Index. It is designed for sophisticated investors with a bearish short-term outlook for U.S. long-term treasuries, offering a powerful tool for those who understand the risks and complexities of leveraged debt investments.

XMPT - VanEck CEF Muni Income ETF

The VanEck CEF Muni Income ETF (XMPT) provides diversified exposure to the municipal bond market through a unique approach, investing in closed-end funds that in turn invest in municipal bonds. This ETF offers a way to access some of the world's most successful muni bond managers through a single ticker, with the potential for attractive current returns. It is suitable for investors in higher tax brackets and can be used as a tactical tool for short-term exposure or as a longer-term core fixed income holding.

SBNDXMPT
Fund NameColumbia Short Duration Bond ETFVanEck CEF Muni Income ETF
Fund ProviderAmeriprise FinancialVanEck
IndexBloomberg Beta Advantage Short Term Bond (--300%)S-Network Closed End Municipal Bond Fund Index
Asset ClassBondsBonds
ListingUS-listedUS-listed
Expense Ratio0.25%1.82%
Inception Date2021-09-212011-07-12
CurrencyUSDUSD
RegionUnited StatesUnited States
Bond TypeGovernment BondsBroad Market
LeveragedLeveragedLeveraged
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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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