Parametric Commodity Correlations

EIPCX Fund  USD 6.59  0.03  0.46%   
The current 90-days correlation between Parametric Commodity and Gabelli Global Financial is 0.06 (i.e., Significant diversification). The correlation of Parametric Commodity is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.

Parametric Commodity Correlation With Market

Good diversification

The correlation between Parametric Modity Strategy and DJI is -0.16 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Parametric Modity Strategy and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Parametric Modity Strategy. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.

Moving together with Parametric Mutual Fund

  0.65EMAIX Eaton Vance MsschstsPairCorr
  0.75ERAMX Eaton Vance MultiPairCorr
  0.7ERHSX Eaton Vance WorldwidePairCorr
  0.78ERISX Parametric Intl EquityPairCorr
  0.75EACOX Eaton Vance GlobalPairCorr
  0.91EADOX Eaton Vance EmergingPairCorr
  0.71EADIX Eaton Vance TaxPairCorr
  0.82EAEMX Parametric EmergingPairCorr

Moving against Parametric Mutual Fund

  0.43EIM Eaton Vance MbfPairCorr
  0.42ERSMX Eaton Vance AtlantaPairCorr
  0.42EAASX Eaton Vance AtlantaPairCorr
  0.35EAERX Eaton Vance StockPairCorr

Related Correlations Analysis

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations   
QCMMIXSPAXX
SPAXXGCFSX
QCMMIXGCFSX
SBFAXGCFSX
QCMMIXSWGXX
SWGXXGCFSX
  
High negative correlations   
QCMMIXHEWXX
SBFAXHEWXX
SPAXXHEWXX
HEWXXSWGXX
QCMMIXIVMXX
SBFAXIVMXX

Risk-Adjusted Indicators

There is a big difference between Parametric Mutual Fund performing well and Parametric Commodity Mutual Fund doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Parametric Commodity's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.