Pair Correlation Between DOW and Ford Motor

This module allows you to analyze existing cross correlation between DOW and Ford Motor Company. You can compare the effects of market volatilities on DOW and Ford Motor 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 Ford Motor. See also your portfolio center. Please also check ongoing floating volatility patterns of DOW and Ford Motor.
Investment Horizon     30 Days    Login   to change
 DOW  vs   Ford Motor Company
 Performance (%) 

Pair Volatility

Given the investment horizon of 30 days, DOW is expected to generate 0.48 times more return on investment than Ford Motor. However, DOW is 2.1 times less risky than Ford Motor. It trades about 0.57 of its potential returns per unit of risk. Ford Motor Company is currently generating about 0.25 per unit of risk. If you would invest  2,335,824  in DOW on November 17, 2017 and sell it today you would earn a total of  129,350  from holding DOW or generate 5.54% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between DOW and Ford Motor


Time Period1 Month [change]
StrengthVery Strong
ValuesDaily Returns


Almost no diversification

Overlapping area represents the amount of risk that can be diversified away by holding DOW and Ford Motor Company in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Ford Motor 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 Ford Motor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ford Motor has no effect on the direction of DOW i.e. DOW and Ford Motor go up and down completely randomly.

Comparative Volatility

 Predicted Return Density