Caterpillar Correlations

CAT Stock  USD 394.29  2.78  0.71%   
The current 90-days correlation between Caterpillar and Deere Company is 0.38 (i.e., Weak diversification). The correlation of Caterpillar 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.

Caterpillar Correlation With Market

Very poor diversification

The correlation between Caterpillar and DJI is 0.88 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Caterpillar and DJI in the same portfolio, assuming nothing else is changed.
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Caterpillar. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
For more information on how to buy Caterpillar Stock please use our How to Invest in Caterpillar guide.

Moving together with Caterpillar Stock

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Moving against Caterpillar Stock

  0.66UGRO Urban GroPairCorr
  0.61G Genpact LimitedPairCorr
  0.44GP GreenPower MotorPairCorr
  0.64MG Mistras GroupPairCorr
  0.62NL NL IndustriesPairCorr
  0.47PC Premium CateringPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Caterpillar Stock performing well and Caterpillar 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 Caterpillar'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.