PortfolioMetrics

SMCO vs. DSMC - ETF Comparison

SMCO - Hilton Small-MidCap Opportunity ETF

The Hilton Small-MidCap Opportunity ETF is an actively managed fund that invests in a diversified portfolio of small and mid-cap stocks in the US extended market, aiming to provide long-term capital growth.

DSMC - Distillate Small/Mid Cash Flow ETF

The Distillate Small/Mid Cash Flow ETF is an actively managed equity fund that invests in a diversified portfolio of small and mid-cap US companies with a focus on cash flow generation. The fund aims to provide long-term capital appreciation by selecting companies with strong financial health and attractive valuations.

SMCODSMC
Fund NameHilton Small-MidCap Opportunity ETFDistillate Small/Mid Cash Flow ETF
Fund ProviderTidal Investments LLCDistillate Capital
IndexActive (No Index)Active (No Index)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.55%0.55%
Inception Date2023-11-292022-10-05
Number Of Holdings65152
CurrencyUSDUSD
RegionUnited StatesUnited States
Market CapMid-Cap, Small-CapMid-Cap, Small-Cap
LeveragedNon-leveragedNon-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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