Dupont De Correlations

DD Stock  USD 80.08  0.45  0.56%   
The current 90-days correlation between Dupont De Nemours and Eastman Chemical is 0.41 (i.e., Very weak diversification). The correlation of Dupont De 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.

Dupont De Correlation With Market

Weak diversification

The correlation between Dupont De Nemours and NYA is 0.37 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Dupont De Nemours and NYA 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 Dupont De Nemours. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in unemployment.

Moving together with Dupont Stock

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Moving against Dupont 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   
High negative correlations   

Risk-Adjusted Indicators

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