Campbell Soup Correlations

Stocks . USA . 
Stock . Campbell Soup
CPB Stock  USD 45.12  1.12  2.42%   
The current 90-days correlation between Campbell Soup and General Mills is 0.61 (i.e., Poor diversification). The correlation of Campbell Soup 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.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Campbell Soup. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey.
For information on how to trade Campbell Stock refer to our How to Trade Campbell Stock guide.

Moving together with Campbell Stock

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Moving against Campbell Stock

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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   
MKC
+ 0.92
GIS
CAG
+ 0.78
GIS
MKC
+ 0.74
CAG
KHC
+ 0.56
GIS
CAG
+ 0.56
HRL
MKC
+ 0.53
KHC
  
High negative correlations   
LW
- 0.62
HRL
CAG
- 0.6
LW
LW
- 0.43
GIS
KHC
- 0.27
LW
MKC
- 0.19
LW
K
- 0.15
HRL

Risk-Adjusted Indicators

There is a big difference between Campbell Stock performing well and Campbell Soup Company 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 Campbell Soup'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.

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