PortfolioMetrics

UGL vs. KOLD - ETF Comparison

UGL - ProShares Ultra Gold

The ProShares Ultra Gold ETF provides 2x daily leverage to gold prices, making it a powerful tool for investors with a bullish outlook on precious metals. However, due to its daily reset feature and explicit leverage, it's only suitable for sophisticated investors who can closely monitor their position and have a high tolerance for risk and volatility.

KOLD - ProShares UltraShort Bloomberg Natural Gas

The ProShares UltraShort Bloomberg Natural Gas ETF provides 2x daily inverse leveraged exposure to natural gas, making it a high-risk, high-reward investment option for sophisticated investors. It tracks the Bloomberg Natural Gas Index, which is comprised of natural gas futures contracts, and is designed to perform well when natural gas prices decline. This ETF is not suitable for long-term, buy-and-hold portfolios and should be monitored closely due to its daily reset feature.

UGLKOLD
Fund NameProShares Ultra GoldProShares UltraShort Bloomberg Natural Gas
Fund ProviderProshare Advisors LLCProshare Advisors LLC
IndexBloomberg Gold (-200%)Bloomberg Natural Gas (200%)
Asset ClassCommodityCommodity
ListingUS-listedUS-listed
Expense Ratio0.95%0.95%
Inception Date2008-12-012011-10-04
Number Of Holdings11
RegionGlobalGlobal
SectorMaterialsEnergy
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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