Pair Correlation Between DOW and Apple

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

Pair Volatility

Given the investment horizon of 30 days, DOW is expected to under-perform the Apple. But the index apears to be less risky and, when comparing its historical volatility, DOW is 1.01 times less risky than Apple. The index trades about -0.04 of its potential returns per unit of risk. The Apple Inc is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest  17,243  in Apple Inc on February 16, 2018 and sell it today you would earn a total of  559.00  from holding Apple Inc or generate 3.24% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between DOW and Apple


Time Period1 Month [change]
ValuesDaily Returns


Very good diversification

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

Comparative Volatility

 Predicted Return Density