PortfolioMetrics

SVOL vs. BTAL - ETF Comparison

SVOL - Simplify Volatility Premium ETF

The Simplify Volatility Premium ETF is an actively managed exchange-traded fund that seeks to provide investors with a unique volatility premium strategy, offering a variable leveraged exposure to the short-term volatility of the S&P 500 index. The fund's proprietary weighting scheme aims to capitalize on market fluctuations, making it a tactical tool for investors seeking to diversify their portfolios.

BTAL - AGF U.S. Market Neutral Anti-Beta Fund

The AGF U.S. Market Neutral Anti-Beta Fund is an alternative ETF that employs a long/short strategy to capture the spread return between high beta and low beta stocks in the U.S. equity market. The fund maintains a sector-neutral portfolio with equal weighted long and short positions in each sector, aiming to provide a low-correlation diversification tool for investors. It can be used to smooth out portfolio volatility or as a means of generating alpha over long and short time periods.

SVOLBTAL
Fund NameSimplify Volatility Premium ETFAGF U.S. Market Neutral Anti-Beta Fund
Fund ProviderSimplifyAGF
IndexActive (No Index)Active (No Index)
Asset ClassAlternativesAlternatives
ListingUS-listedUS-listed
Expense Ratio0.50%1.43%
Inception Date2021-05-122011-09-13
Number Of Holdings9401
CurrencyUSDUSD
RegionUnited StatesUnited States
LeveragedLeveragedNon-leveraged
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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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