PortfolioMetrics

USTP vs. TINF - ETF Comparison

USTP - Ossiam US Steepener UCITS ETF 1C (USD)

The Ossiam US Steepener UCITS ETF 1C (USD) is an exchange-traded fund that tracks the Solactive US Treasury Yield Curve Steepener 2-5 vs 10-30 index, providing exposure to the US government bond market. The fund uses a synthetic replication strategy with a swap and accumulates interest income, reinvesting it in the ETF.

TINF - Tabula US Enhanced Inflation UCITS ETF USD Acc

The Tabula US Enhanced Inflation UCITS ETF USD Acc is an exchange-traded fund that tracks the Bloomberg US Enhanced Inflation index, providing exposure to US inflation-linked bonds (TIPS) and breakeven inflation. The fund uses a synthetic replication strategy with a swap and accumulates interest income, reinvesting it in the ETF. With a total expense ratio of 0.29% p.a., it offers a cost-effective way to invest in the US inflation-linked bond market.

USTPTINF
Fund NameOssiam US Steepener UCITS ETF 1C (USD)Tabula US Enhanced Inflation UCITS ETF USD Acc
Fund ProviderOssiamTabula
IndexSolactive US Treasury Yield Curve Steepener 2-5 vs 10-30Bloomberg US Enhanced Inflation
Asset ClassBondsBonds
ListingEU-listedEU-listed
Expense Ratio0.3%0.29%
Inception Date2019-08-012020-10-22
CurrencyUSDUSD
Distribution PolicyAccumulatingAccumulating
RegionUnited StatesUnited States
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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