Pair Correlation Between DOW and DAX

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

Pair Volatility

Given the investment horizon of 30 days, DOW is expected to generate about the same return on investment as DAX.But, DOW is 1.88 times less risky than DAX. It trades about 0.16 of its potential returns per unit of risk. DAX is currently generating about 0.08 per unit of risk. If you would invest  1,300,314  in DAX on October 23, 2017 and sell it today you would earn a total of  16,440  from holding DAX or generate 1.26% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between DOW and DAX


Time Period1 Month [change]
ValuesDaily Returns


Poor diversification

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

Comparative Volatility

 Predicted Return Density