PortfolioMetrics

XME vs. SIL - ETF Comparison

XME - SPDR S&P Metals & Mining ETF

The SPDR S&P Metals & Mining ETF provides exposure to U.S. companies engaged in the extraction of metals and other natural resources, offering a tool for tilting portfolio exposure towards the mining sector or betting on a short-term surge in mining stocks. The fund's equal-weighted methodology ensures balanced exposure to the mining sector, with no single name accounting for a significant portion of total assets.

SIL - Global X Silver Miners ETF

The Global X Silver Miners ETF provides investors with a diversified portfolio of silver mining companies, offering a way to tap into the precious metal's potential without directly holding physical silver or using futures contracts. This fund can be a valuable tool for those seeking to benefit from increased demand for silver in various industries, but investors should be prepared for potential volatility.

XMESIL
Fund NameSPDR S&P Metals & Mining ETFGlobal X Silver Miners ETF
Fund ProviderState StreetMirae Asset
IndexS&P Metals & Mining Select Industry IndexStuttgart Solactive AG Global Silver Miners (USD)
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.35%0.65%
Inception Date2006-06-192010-04-19
Number Of Holdings3734
RegionUnited StatesDeveloped Markets
Investment StyleBlendBlend
Market CapBlendBlend
SectorMaterialsMaterials
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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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