PortfolioMetrics

SJB vs. SBND - ETF Comparison

SJB - ProShares Short High Yield

The ProShares Short High Yield ETF provides daily inverse exposure to the iBoxx $ Liquid High Yield Index, allowing investors to bet against the performance of junk bonds in the US market. This fund is designed for tactical investors seeking to hedge against potential downturns in the high-yield bond sector, rather than for long-term portfolio building.

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.

SJBSBND
Fund NameProShares Short High YieldColumbia Short Duration Bond ETF
Fund ProviderProshare Advisors LLCAmeriprise Financial
IndexiBoxx $ Liquid High Yield Index (-100%)Bloomberg Beta Advantage Short Term Bond (--300%)
Asset ClassBondsBonds
ListingUS-listedUS-listed
Expense Ratio0.95%0.25%
Inception Date2011-03-212021-09-21
CurrencyUSDUSD
RegionUnited StatesUnited States
SectorFinancialsFinancials
Sector DetailHigh Yield BondsGovernment Bonds
Bond TypeHigh Yield BondsGovernment Bonds
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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