Pair Correlation Between DOW and Realty Income

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

Pair Volatility

Given the investment horizon of 30 days, DOW is expected to generate 0.35 times more return on investment than Realty Income. However, DOW is 2.86 times less risky than Realty Income. It trades about 0.55 of its potential returns per unit of risk. Realty Income Corporation is currently generating about -0.43 per unit of risk. If you would invest  2,479,220  in DOW on December 17, 2017 and sell it today you would earn a total of  101,099  from holding DOW or generate 4.08% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between DOW and Realty Income


Time Period1 Month [change]
ValuesDaily Returns


Pay attention

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

Comparative Volatility

 Predicted Return Density