PortfolioMetrics

SMIZ vs. TSME - ETF Comparison

SMIZ - Zacks Small/Mid Cap ETF

The Zacks Small/Mid Cap 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.

TSME - Thrivent Small-Mid Cap ESG ETF

The Thrivent Small-Mid Cap ESG ETF is an actively managed equity fund that invests in a diversified portfolio of small and mid-cap stocks, with a focus on environmental, social, and governance (ESG) considerations. The fund aims to provide long-term capital appreciation and income, while aligning with the values of socially responsible investors.

SMIZTSME
Fund NameZacks Small/Mid Cap ETFThrivent Small-Mid Cap ESG ETF
Fund ProviderZacksThrivent Financial for Lutherans
IndexActive (No Index)Active (No Index)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.56%0.65%
Inception Date2023-10-032022-10-05
Number Of Holdings19965
CurrencyUSDUSD
RegionUnited StatesGlobal
Investment StyleActiveBlend
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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