PortfolioMetrics

SBND vs. TMV - 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.

TMV - Direxion Daily 20+ Year Treasury Bear 3x Shares

The Direxion Daily 20+ Year Treasury Bear 3x Shares ETF provides 3x short leveraged exposure to the U.S. Treasury 20+ Year Index, allowing sophisticated investors to express a bearish view on long-term U.S. treasuries. This fund is designed for investors with a high risk tolerance and a deep understanding of the U.S. economy and its policies.

SBNDTMV
Fund NameColumbia Short Duration Bond ETFDirexion Daily 20+ Year Treasury Bear 3x Shares
Fund ProviderAmeriprise FinancialRafferty Asset Management
IndexBloomberg Beta Advantage Short Term Bond (--300%)U.S. Treasury 20+ Year Index (300%)
Asset ClassBondsBonds
ListingUS-listedUS-listed
Expense Ratio0.25%1.01%
Inception Date2021-09-212009-04-16
CurrencyUSDUSD
RegionUnited StatesUnited States
SectorFinancialsFinancials
Sector DetailGovernment BondsGovernment Bonds
Bond TypeGovernment 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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