PortfolioMetrics

LYQK vs. NK4J - ETF Comparison

LYQK - Amundi German Bund Daily (-2x) Inverse UCITS ETF Acc

The Amundi German Bund Daily (-2x) Inverse UCITS ETF Acc is an inverse bond ETF that tracks the Solactive Bund Daily (-2x) Inverse index, providing a two times leveraged short exposure to the German government bond market. The ETF uses a synthetic replication strategy with a swap and has an expense ratio of 0.2%. It is domiciled in France and has a small asset base of approximately 31 million euros.

NK4J - Amundi US Treasury 10Y Daily (-2x) Inverse UCITS ETF Acc

The Amundi US Treasury 10Y Daily (-2x) Inverse UCITS ETF Acc is an inverse bond ETF that seeks to track the Solactive 10Y US Treasury Futures Daily (-2x) Inverse index, providing a daily leveraged short exposure to US government bonds with a 10-year maturity.

LYQKNK4J
Fund NameAmundi German Bund Daily (-2x) Inverse UCITS ETF AccAmundi US Treasury 10Y Daily (-2x) Inverse UCITS ETF Acc
Fund ProviderAmundiAmundi
IndexSolactive Bund Daily (-2x) InverseSolactive 10Y US Treasury Futures Daily (-2x) Inverse
Asset ClassBondsBonds
ListingEU-listedEU-listed
Expense Ratio0.2%0.2%
Inception Date2010-04-092014-01-08
CurrencyEURUSD
Distribution PolicyAccumulatingAccumulating
RegionEuropeUnited 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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