PortfolioMetrics

SLYG vs. LIT - ETF Comparison

SLYG - SPDR S&P 600 Small Cap Growth ETF

The SPDR S&P 600 Small Cap Growth ETF (SLYG) tracks the S&P SmallCap 600 Growth Index, providing exposure to small-cap companies in the US equity market that exhibit growth characteristics. The fund offers a diversified portfolio of approximately 348 holdings, with a focus on growth securities and a market capitalization bias towards micro-caps. With a low expense ratio, SLYG can be a quality addition to portfolios seeking small-cap growth exposure.

LIT - Global X Lithium & Battery Tech ETF

The Global X Lithium & Battery Tech ETF provides exposure to companies involved in the lithium industry, offering a play on the growing demand for this key component in next-generation technologies. The fund's diversified portfolio of 41 holdings tracks the Stuttgart Solactive AG Global Lithium Index, giving investors access to a volatile but potentially powerful tool for betting on the lithium market.

SLYGLIT
Fund NameSPDR S&P 600 Small Cap Growth ETFGlobal X Lithium & Battery Tech ETF
Fund ProviderState StreetMirae Asset
IndexS&P SmallCap 600 Growth IndexStuttgart Solactive AG Global Lithium (USD)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.15%0.75%
Inception Date2000-09-252010-07-22
Number Of Holdings34841
RegionUnited StatesDeveloped Markets
Investment StyleGrowthBlend
Market CapMicro-CapMicro-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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