Pair Correlation Between DOW and Deere

This module allows you to analyze existing cross correlation between DOW and Deere Company. You can compare the effects of market volatilities on DOW and Deere and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in DOW with a short position of Deere. See also your portfolio center. Please also check ongoing floating volatility patterns of DOW and Deere.
Investment Horizon     30 Days    Login   to change
 DOW  vs   Deere Company
 Performance (%) 

Pair Volatility

Given the investment horizon of 30 days, DOW is expected to generate 2.32 times less return on investment than Deere. But when comparing it to its historical volatility, DOW is 2.59 times less risky than Deere. It trades about 0.5 of its potential returns per unit of risk. Deere Company is currently generating about 0.45 of returns per unit of risk over similar time horizon. If you would invest  13,461  in Deere Company on November 16, 2017 and sell it today you would earn a total of  1,626  from holding Deere Company or generate 12.08% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between DOW and Deere


Time Period1 Month [change]
ValuesDaily Returns


Very poor diversification

Overlapping area represents the amount of risk that can be diversified away by holding DOW and Deere Company in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Deere Company and DOW is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on DOW are associated (or correlated) with Deere. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deere Company has no effect on the direction of DOW i.e. DOW and Deere go up and down completely randomly.

Comparative Volatility

 Predicted Return Density