Energy Basic Correlations

SEPCX Fund  USD 10.41  0.05  0.48%   
The current 90-days correlation between Energy Basic Materials and Alpine High Yield is -0.03 (i.e., Good diversification). The correlation of Energy Basic 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.

Energy Basic Correlation With Market

Very weak diversification

The correlation between Energy Basic Materials and DJI is 0.5 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Energy Basic Materials and DJI in the same portfolio, assuming nothing else is changed.
  
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Energy Basic Materials. 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 ENERGY Mutual Fund

  1.0SBMBX Energy Basic MaterialsPairCorr
  1.0SEPIX Energy Basic MaterialsPairCorr

Moving against ENERGY Mutual Fund

  0.32SBHIX Health BiotchnologyPairCorr
  0.33SHPCX Health BiotchnologyPairCorr
  0.32SHPAX Health BiotchnologyPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between ENERGY Mutual Fund performing well and Energy Basic 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 Energy Basic'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.