Pair Correlation Between DOW and United States

This module allows you to analyze existing cross correlation between DOW and United States 12 Month Oil. You can compare the effects of market volatilities on DOW and United States 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 United States. See also your portfolio center. Please also check ongoing floating volatility patterns of DOW and United States.
 Time Horizon     30 Days    Login   to change
 DOW  vs   United States 12 Month Oil
 Performance (%) 

Pair Volatility

Given the investment horizon of 30 days, DOW is expected to generate 1.25 times more return on investment than United States. However, DOW is 1.25 times more volatile than United States 12 Month Oil. It trades about -0.1 of its potential returns per unit of risk. United States 12 Month Oil is currently generating about -0.15 per unit of risk. If you would invest  2,621,460  in DOW on January 21, 2018 and sell it today you would lose (99,522)  from holding DOW or give up 3.8% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between DOW and United States


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 United States 12 Month Oil in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on United States 12 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 United States. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United States 12 has no effect on the direction of DOW i.e. DOW and United States go up and down completely randomly.

Comparative Volatility

 Predicted Return Density