PortfolioMetrics

SPSM vs. IWN - ETF Comparison

SPSM - SPDR Portfolio S&P 600 Small Cap ETF

The SPDR Portfolio S&P 600 Small Cap ETF is an equity fund that tracks the S&P SmallCap 600 index, providing investors with exposure to small-cap U.S. stocks. The fund offers a cost-effective way to invest in the growth potential of smaller companies, while being aware of the associated risks. With a low expense ratio, the fund is an attractive option for long-term investors seeking to diversify their portfolios.

IWN - iShares Russell 2000 Value ETF

The iShares Russell 2000 Value ETF (IWN) tracks the Russell 2000 Value Index, providing exposure to small-cap value stocks in the US equity market. The fund offers a diversified portfolio of over 1,400 holdings, with a focus on value securities and a multi-factor weighting scheme. With a reasonable expense ratio, IWN can be a quality addition to portfolios seeking small-cap exposure with lower risk.

SPSMIWN
Fund NameSPDR Portfolio S&P 600 Small Cap ETFiShares Russell 2000 Value ETF
Fund ProviderState StreetBlackRock
IndexS&P SmallCap 600Russell 2000 Value Index
Asset ClassEquityEquity
ListingUS-listedUS-listed
Expense Ratio0.03%0.24%
Inception Date2013-07-082000-07-24
Number Of Holdings6051446
CurrencyUSDUSD
RegionUnited StatesUnited States
Investment StyleBlendValue
Market CapSmall-CapSmall-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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