Consumer Staples Correlations

FDTGX Fund  USD 86.22  1.19  1.40%   
The correlation of Consumer Staples 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.

Consumer Staples Correlation With Market

Weak diversification

The correlation between Consumer Staples Portfolio and DJI is 0.39 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Consumer Staples Portfolio 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 Consumer Staples Portfolio. 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 price.

Moving together with Consumer Mutual Fund

  0.75PG Procter GamblePairCorr
  0.65FARM Farmer BrosPairCorr

Moving against Consumer Mutual Fund

  0.42GO Grocery Outlet Holding Buyout TrendPairCorr
  0.39VINE Fresh Grapes LLC Symbol ChangePairCorr
  0.39VITL Vital FarmsPairCorr
  0.32DTCK Davis CommoditiesPairCorr
  0.4XAGE Longevity Health Hol Symbol ChangePairCorr
  0.31ELF ELF BeautyPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Consumer Mutual Fund performing well and Consumer Staples 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 Consumer Staples' 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.